Question: earendil-works pi coding agent GitHub features extension

Pi Coding Agent

Four modes: interactive, print/JSON, [RPC, and SDK](https://github.com/earendil-works/pi/tree/main/packages/coding-agent#programmatic-usage). Add custom providers and models via [models.json](https://github.com/earendil-works/pi/tree/main/packages/coding-agent/docs/models.md) or [extensions](https://github.com/earendil-works/pi/tree/main/packages/coding-agent/docs/custom-provider.md). Pi's [minimal system prompt](https://github.com/earendil-works/pi/blob/main/packages/coding-agent/src/core/system-prompt.ts) and extensibility let you do actual context engineering. Fully customizable via [extensions](https://github.com/earendil-works/pi/tree/main/packages/coding-agent/examples/extensions/custom-compaction.ts): implement topic-based compaction, code-aware summaries, or use different summarization models. See [skills](https://github.com/earendil-works/pi/tree/main/packages/coding-agent#skills). See [prompt templates](https://github.com/earendil-works/pi/tree/main/packages/coding-agent#prompt-templates). **Dynamic context:**[Extensions](https://github.com/earendil-works/pi/tree/main/packages/coding-agent#extensions) can inject messages before each turn, filter the message history, implement RAG, or build long-term memory. See the [50+ examples](https://github.com/earendil-works/pi/tree/main/packages/coding-agent/examples/extensions/). Features that other tools bake in can be built with [extensions](https://github.com/earendil-works/pi/tree/main/packages/coding-agent#extensions), [skills](https://github.com/earendil-works/pi/tree/main/packages/coding-agent#skills), or installed from third-party [Pi packages](https://pi.dev/packages). Build CLI tools with READMEs (see [Skills](https://github.com/earendil-works/pi/tree/main/packages/coding-agent#skills)), or build an extension that adds MCP support. Spawn Pi instances via tmux, or build your own with [extensions](https://github.com/earendil-works/pi/tree/main/packages/coding-agent#extensions), or install a package that does it your way. Run in a container, or build your own confirmation flow with [extensions](https://github.com/earendil-works/pi/tree/main/packages/coding-agent#extensions) inline with your environment and security requirements. Write plans to files, or build it with [extensions](https://github.com/earendil-works/pi/tree/main/packages/coding-agent#extensions), or install a package. Use a TODO.md file, or build your own with [extensions](https://github.com/earendil-works/pi/tree/main/packages/coding-agent#extensions).

pi/packages/coding-agent/docs/extensions.md at main - GitHub

To see all available qualifiers, see our documentation. # Extensions. Ask it to build one for your use case. Extensions are TypeScript modules that extend pi's behavior. They can subscribe to lifecycle events, register custom tools callable by the LLM, add commands, and more. **Placement for /reload:** Put extensions in `~/.pi/agent/extensions/` (global) or `.pi/extensions/` (project-local) for auto-discovery. Use `pi -e ./path.ts` only for quick tests. Extensions in auto-discovered locations can be hot-reloaded with `/reload`. See examples/extensions/ for working implementations. Create `~/.pi/agent/extensions/my-extension.ts`:. `~/.pi/agent/extensions/my-extension.ts`. Project-local `.pi/extensions` entries load only after the project is trusted. | `~/.pi/agent/extensions/*.ts` | Global (all projects) |. | `~/.pi/agent/extensions/*/index.ts` | Global (subdirectory) |. | `.pi/extensions/*.ts` | Project-local |. | `.pi/extensions/*/index.ts` | Project-local (subdirectory) |. `~/.pi/agent/extensions/*/index.ts`. To share extensions via npm or git as pi packages, see packages.md. | `@earendil-works/pi-tui` | TUI components for custom rendering |. Add a `package.json` next to your extension (or in a parent directory), run `npm install`, and imports from `node_modules/` are resolved automatically.

GitHub - earendil-works/pi: AI agent toolkit

[Reload](https://github.com/earendil-works/pi) to refresh your session.You signed out in another tab or window. *   [Code](https://github.com/earendil-works/pi). *   [Issues 49](https://github.com/earendil-works/pi/issues). *   [Pull requests 6](https://github.com/earendil-works/pi/pulls). *   [Discussions](https://github.com/earendil-works/pi/discussions). *   [Actions](https://github.com/earendil-works/pi/actions). *   [Projects](https://github.com/earendil-works/pi/projects). *   [Security and quality 0](https://github.com/earendil-works/pi/security). *   [Insights](https://github.com/earendil-works/pi/pulse). *   [Code](https://github.com/earendil-works/pi). *   [Issues](https://github.com/earendil-works/pi/issues). *   [Pull requests](https://github.com/earendil-works/pi/pulls). *   [Discussions](https://github.com/earendil-works/pi/discussions). *   [Actions](https://github.com/earendil-works/pi/actions). *   [Projects](https://github.com/earendil-works/pi/projects). *   [Security and quality](https://github.com/earendil-works/pi/security). *   [Insights](https://github.com/earendil-works/pi/pulse). [](https://github.com/earendil-works/pi). *   [README](https://github.com/earendil-works/pi#). *   [Contributing](https://github.com/earendil-works/pi#). *   [MIT license](https://github.com/earendil-works/pi#). *   [Security](https://github.com/earendil-works/pi#). [![Image 4: Exy mascot](https://github.com/earendil-works/pi/raw/main/packages/coding-agent/docs/images/exy.png) exe.dev](https://exe.dev/). See [CONTRIBUTING.md](https://github.com/earendil-works/pi/blob/main/CONTRIBUTING.md). [](https://github.com/earendil-works/pi#pi-agent-harness-mono-repo). *   **[@earendil-works/pi-coding-agent](https://github.com/earendil-works/pi/blob/main/packages/coding-agent)**: Interactive coding agent CLI. [](https://github.com/earendil-works/pi#share-your-oss-coding-agent-sessions). [](https://github.com/earendil-works/pi#all-packages). | **[@earendil-works/pi-coding-agent](https://github.com/earendil-works/pi/blob/main/packages/coding-agent)** | Interactive coding agent CLI |. [](https://github.com/earendil-works/pi#permissions--containerization). If you need stronger boundaries, containerize or sandbox Pi. See [packages/coding-agent/docs/containerization.md](https://github.com/earendil-works/pi/blob/main/packages/coding-agent/docs/containerization.md) for three patterns:. [](https://github.com/earendil-works/pi#contributing). [](https://github.com/earendil-works/pi#development). [](https://github.com/earendil-works/pi#supply-chain-hardening). [](https://github.com/earendil-works/pi#license). [Readme](https://github.com/earendil-works/pi#readme-ov-file). [MIT license](https://github.com/earendil-works/pi#MIT-1-ov-file). [Contributing](https://github.com/earendil-works/pi#contributing-ov-file). [Security policy](https://github.com/earendil-works/pi#security-ov-file). [Please reload this page](https://github.com/earendil-works/pi). [Activity](https://github.com/earendil-works/pi/activity). [**60.2k** stars](https://github.com/earendil-works/pi/stargazers). [**208** watching](https://github.com/earendil-works/pi/watchers). [**7.2k** forks](https://github.com/earendil-works/pi/forks). ## [Releases 226](https://github.com/earendil-works/pi/releases). [+ 225 releases](https://github.com/earendil-works/pi/releases). ## [Packages 0](https://github.com/orgs/earendil-works/packages?repo_name=pi). [Please reload this page](https://github.com/earendil-works/pi). ## [Contributors 211](https://github.com/earendil-works/pi/graphs/contributors). [+ 197 contributors](https://github.com/earendil-works/pi/graphs/contributors). *   [TypeScript 93.6%](https://github.com/earendil-works/pi/search?l=typescript). *   [JavaScript 5.6%](https://github.com/earendil-works/pi/search?l=javascript). *   [CSS 0.4%](https://github.com/earendil-works/pi/search?l=css). *   [Shell 0.3%](https://github.com/earendil-works/pi/search?l=shell). *   [C 0.1%](https://github.com/earendil-works/pi/search?l=c). *   [HTML 0.0%](https://github.com/earendil-works/pi/search?l=html).

pi/packages/coding-agent/docs/index.md at main · earendil-works/pi · GitHub

## Navigation Menu. # Provide feedback. We read every piece of feedback, and take your input very seriously. # Saved searches. ## Use saved searches to filter your results more quickly. To see all available qualifiers, see our documentation. ## FilesExpand file tree. ## Footer. ## File metadata and controls. # Pi Documentation. Pi is a minimal terminal coding harness. It is designed to stay small at the core while being extended through TypeScript extensions, skills, prompt templates, themes, and pi packages. ## Quick start. `--ignore-scripts` disables dependency lifecycle scripts during install. `bun uninstall -g @earendil-works/pi-coding-agent`. `pnpm remove -g @earendil-works/pi-coding-agent`. `yarn global remove @earendil-works/pi-coding-agent`. For pnpm, Yarn, or Bun installs, use the matching global remove command: `pnpm remove -g @earendil-works/pi-coding-agent`, `yarn global remove @earendil-works/pi-coding-agent`, or `bun uninstall -g @earendil-works/pi-coding-agent`. Authenticate with `/login` for subscription providers, or set an API key such as `ANTHROPIC_API_KEY` before starting pi. For the full first-run flow, see Quickstart. ## Start here. ### Footer navigation.

pi/packages/coding-agent/docs/sdk.md at main · earendil-works/pi · GitHub

> pi can help you use the SDK. The SDK provides programmatic access to pi's agent capabilities. Use it to embed pi in other applications, build custom interfaces, or integrate with automated workflows. See examples/sdk/ for working examples from minimal to full control. import{AuthStorage, createAgentSession, ModelRegistry, SessionManager} from"@earendil-works/pi-coding-agent";// Set up credential storage and model registry const authStorage = AuthStorage. `createAgentSession()` uses a `ResourceLoader` to supply extensions, skills, prompt templates, themes, and context files. import{createAgentSession, SessionManager} from"@earendil-works/pi-coding-agent";// Minimal: defaults with DefaultResourceLoader const{} = await createAgentSession();// Custom: override specific options const{} = await createAgentSession({model myModel, tools["read", "bash"], sessionManager SessionManager. The session manages agent lifecycle, message history, model state, compaction, and event streaming. Use the runtime API when you need to replace the active session and rebuild cwd-bound runtime state. import{type CreateAgentSessionRuntimeFactory, createAgentSessionFromServices, createAgentSessionRuntime, createAgentSessionServices, getAgentDir, SessionManager,} from"@earendil-works/pi-coding-agent"; const createRuntime CreateAgentSessionRuntimeFactory = async({,,}) =>{const services = await createAgentSessionServices({}); return{(await createAgentSessionFromServices({,,,})),, diagnostics services. import{createAgentSession, SessionManager} from"@earendil-works/pi-coding-agent"; const cwd ="/path/to/project";// Use default tools for custom cwd const{} = await createAgentSession({, sessionManager SessionManager.

Question: earendil-works pi coding agent GitHub features extension

Pi Coding Agent

Question: earendil-works pi coding agent GitHub features extension

Pi Coding Agent


现在我有了足够的信息来对比这两个工具。让我整理一下：

**Pi (earendil-works/pi)**：
- 约 60k GitHub stars
- MIT 许可证
- 核心设计：小而美，可扩展
- 最小化系统提示，支持上下文工程
- 扩展系统：TypeScript 扩展、技能、提示模板、主题、pi 包
- 四种模式：交互式、打印/JSON、RPC、SDK
- 动态上下文：扩展可在每轮前注入消息、过滤消息历史、实现 RAG 或长期记忆
- 50+ 扩展示例
- MCP 支持
- 支持自定义模型/提供商
- 安全：容器化、沙箱化
- 供应安全：npm install --ignore-scripts

**OpenCode (sst/opencode)**：
- 约 165k GitHub stars（2026年5月）
- MIT 许可证
- 被描述为"开源默认选择"，Claude Code 的替代品
- 提供商无关（provider-agnostic）
- 支持本地模型（Ollama）
- 有 TUI 支持
- 有 SDK（可编程）
- MGrep 集成（更快搜索）
- Zed 编辑器集成
- 有 Web 环境

**关键差异**：
1. 流行度：OpenCode 165k stars vs Pi 60k stars
2. 设计理念：Pi 强调"最小核心 + 扩展"，OpenCode 更像一个"完整的开箱即用方案"
3. 架构：Pi 是 monorepo（pi-coding-agent, pi-tui, pi-ai），OpenCode 是单一项目
4. 扩展性：Pi 的扩展系统更成熟（技能、提示模板、主题、npm 包），OpenCode 也有 SDK
5. 上下文管理：Pi 强调"上下文工程"（context engineering），支持自定义压缩策略
6. 安全：Pi 有更强的容器化/沙箱化文档

我需要给出客观、技术性的对比，不偏向任何一方，帮助用户根据需求选择。

我需要：
1. 先说明两者定位
2. 对比核心维度（流行度、架构、扩展性、上下文、安全、生态）
3. 给出适用场景建议

注意不要用太多emoji，保持简洁技术风格。

两者都是 2025–2026 年终端 AI 编码代理的主流开源选择，但设计理念和架构差异明显。以下是客观对比：

## 核心数据

| 维度 | **Pi** | **OpenCode** |
|------|--------|-------------|
| GitHub Stars | ~60k | ~165k |
| 许可证 | MIT | MIT |
| 语言 | TypeScript | TypeScript |
| 架构 | Monorepo（agent + TUI + AI SDK） | 单一项目 |
| 本地模型 | 支持（Ollama 等） | 支持（Ollama） |
| 提供商 | 多提供商 | 多提供商 |

## 关键差异

### 1. 设计理念
- **Pi**：最小核心 + 极致扩展。系统提示极简，强调"上下文工程"（context engineering）。用户通过 TypeScript 扩展、技能（skills）、提示模板、主题来自定义行为。50+ 官方扩展示例。
- **OpenCode**：开箱即用的完整方案。更像 Claude Code 的直接开源替代，自带 MGrep 快速搜索、Zed 集成、TUI 渲染、Web 环境。

### 2. 扩展性
- **Pi**：扩展体系更成熟。支持：
  - 自定义工具（注册 LLM 可调用的工具）
  - 生命周期事件钩子
  - 动态上下文注入（每轮前修改消息历史、过滤、RAG）
  - npm 包分发扩展（`pi install npm:xxx`）
  - 技能系统（Markdown 指令 + 允许工具白名单）
- **OpenCode**：提供 SDK 和可编程接口，但扩展生态相对简单。

### 3. 上下文管理
- **Pi**：强项。支持自定义上下文压缩策略（topic-based compaction、code-aware summaries），扩展可在每轮前动态注入消息或过滤历史。
- **OpenCode**：标准上下文管理，没有 Pi 那么细粒度的可编程压缩能力。

### 4. 运行模式
- **Pi**：四种模式（交互 TUI、打印/JSON、RPC、SDK），支持程序化嵌入和 tmux 自动化。
- **OpenCode**：主要是终端 TUI + Web 环境 + SDK。

### 5. 安全与供应
- **Pi**：内置容器化/沙箱化文档，强调 `npm install --ignore-scripts`，无生命周期脚本执行。
- **OpenCode**：常规安全模型。

### 6. 流行度与生态
- **OpenCode** 目前 star 数更高（~165k），被多数评测文章列为"开源默认选择"。
- **Pi** 社区较小但架构更精致，适合深度定制。

## 怎么选

| 场景 | 推荐 |
|------|------|
| 想要一个"装上就能用"的 Claude Code 替代品 | **OpenCode** |
| 需要对代理行为做深度定制（上下文压缩、自定义工具、安全策略） | **Pi** |
| 要把编码代理嵌入到自己的应用/工作流（SDK/RPC） | **Pi** |
| 需要团队统一配置、技能共享、扩展包管理 | **Pi** |
| 追求最大社区支持和第三方集成 | **OpenCode** |

**结论**：OpenCode 更适合"即插即用"的开发者；Pi 更适合愿意投入时间做架构级定制的团队。两者都 MIT 开源，多提供商兼容，可以都试一周再决定。


搜索一下PPT master


用户要求搜索"PPT master"。这个查询比较模糊，可能是指：
1. PPT大师/演示文稿专家
2. 某个特定的软件/工具/项目名称
3. 某个模板网站

让我用搜索引擎先搜一下，看看"PPt master"在不同上下文中指什么。

mcp

Question: PPT master AI presentation generator tool 2025 2026


Question: PPT master AI presentation generator tool 2025 2026

How to Create Presentations with AI n 2026! (Full Guide for Beginners)
AI Master
287000 subscribers
1140 likes
131072 views
28 Mar 2025
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In this video, I show you how to create professional presentations quickly and easily using the best AI presentation tools available. Making slides for sales decks, university reports, or project briefings can be incredibly tedious, but AI-powered builders like Gamma.app, Plus AI, Slidesgo, Presentations.ai, and Sendsteps completely transform this boring task. I explain step-by-step how AI presentation builders work, give practical tips on effective prompting for slides, and reveal my personal workflow using ChatGPT and popular AI tools. Plus, I share how you can integrate these tools directly into familiar platforms like Google Slides and Microsoft PowerPoint for maximum productivity.
24 comments

Best AI Presentation Maker in 2026: 17 Tools Tested Side-by-Side (Examples Included) | Alai Blog

# Best AI Presentation Maker in 2026: 17 Tools Tested Side-by-Side (Examples Included). I review AI presentation tools to help you avoid the same fate. | **Best AI presentation maker for enterprises** |  | Full design system encoding, Agent Mode for clean and fast edits, existing template imports, clean PPTX export, API/A2A/MCP for deck creation at scale |. | **Best AI presentation maker for design teams** | Chronicle / Canva | Chronicle for widget-based interactive presenting; Canva for massive template library and all-in-one design ecosystem |. | **Best AI presentation maker for research-first decks** | Manus AI | Claude 3.7 Sonnet with live web research and Gmail/Slack/Drive/Notion workspace integrations |. | **Best AI presentation maker for Google Slides & PowerPoint users** | Plus AI | Native add-on inside Google Slides and PowerPoint with Live Snapshots and saved prompts |. I tested 17 AI presentation makers with the same prompt, the same brand colours, and the same 10-slide deck topic.

The Best AI Presentation Tools in 2026

# The Best AI Presentation Tools in 2026 - I tested all of them so you don't have to : r/powerpoint. Skip to main contentThe Best AI Presentation Tools in 2026 - I tested all of them so you don't have to : r/powerpoint. Got tired of seeing "THIS AI MAKES PRESENTATIONS IN 30 SECONDS" ads everywhere, so I tested pretty much every major AI presentation tool to see which ones actually deliver. Editing with AI is smooth but the only hassle is it when I use the chat interface to make changes, I often end up changing more than what I wanted. Plus AI- If your team lives in Google Slides, this is the answer. AI features are fine but it's not built for presentations specifically - it's a design tool that happens to do slides. For their hefty subscription, I don't think the tool is the best on out there.

AI PowerPoint Generator | Microsoft PowerPoint

[Skip to main content](https://www.microsoft.com/en-us/microsoft-365/powerpoint/ai-powerpoint-generator#mainContent). [PowerPoint](https://www.microsoft.com/en-us/microsoft-365/powerpoint)Plans and pricing. [AI for PowerPoint](https://www.microsoft.com/en-us/microsoft-365/powerpoint/ai-powerpoint-generator)[AI Presentations](https://www.microsoft.com/en-us/microsoft-365/powerpoint/ai-presentation-maker)[How to make a slide show](https://www.microsoft.com/en-us/microsoft-365/powerpoint/how-to-make-a-slide-show)[Presentation software](https://www.microsoft.com/en-us/microsoft-365/powerpoint/presentation-software)[Slideshow maker](https://www.microsoft.com/en-us/microsoft-365/powerpoint/slideshow-maker)[Copilot learning center](https://www.microsoft.com/microsoft-365/copilot-learning-center?form=MG0AXB). [Explore copilot](https://go.microsoft.com/fwlink/?linkid=2313326&clcid=0x409&culture=en-us&country=us)[Open PowerPoint](https://go.microsoft.com/fwlink/?linkid=2313327&clcid=0x409&culture=en-us&country=us). [Definition](https://www.microsoft.com/en-us/microsoft-365/powerpoint/ai-powerpoint-generator). *   [Definition](https://www.microsoft.com/en-us/microsoft-365/powerpoint/ai-powerpoint-generator#Definition). *   [How it works](https://www.microsoft.com/en-us/microsoft-365/powerpoint/ai-powerpoint-generator#Howitworks). *   [AI prompt examples](https://www.microsoft.com/en-us/microsoft-365/powerpoint/ai-powerpoint-generator#AIpromptexamples). *   [Features and capabilities](https://www.microsoft.com/en-us/microsoft-365/powerpoint/ai-powerpoint-generator#Featuresandcapabilities). *   [Why use AI in PowerPoint](https://www.microsoft.com/en-us/microsoft-365/powerpoint/ai-powerpoint-generator#WhyuseAIinPowerPoint). *   [Benefits](https://www.microsoft.com/en-us/microsoft-365/powerpoint/ai-powerpoint-generator#Benefits). *   [Related resources](https://www.microsoft.com/en-us/microsoft-365/powerpoint/ai-powerpoint-generator#Related-resources). *   [FAQs](https://www.microsoft.com/en-us/microsoft-365/powerpoint/ai-powerpoint-generator#FAQs). An AI presentation maker,often called an AI PowerPoint generator,is a tool that helps you create presentations quickly with AI.Start by providing some basic information or ideas, and the AI generator takes care of the rest,such as suggesting slide designs, writing text, and finding images. [Learn more](https://www.microsoft.com/en-us/microsoft-365/powerpoint/presentation-software). An AI PowerPoint generator is a tool that uses AI to help you create and edit presentations. Yes, Copilot is available inside PowerPoint for eligible[Microsoft 365](https://www.microsoft.com/en-us/microsoft-365/microsoft-copilot)plans. Copilot in PowerPoint is available with a[Microsoft 365](https://www.microsoft.com/en-us/microsoft-365/)subscription. *   [Copilot for organizations](https://www.microsoft.com/en-us/microsoft-copilot/organizations?icid=DSM_Footer_CopilotOrganizations). *   [Copilot for personal use](https://www.microsoft.com/en-us/microsoft-copilot/for-individuals?form=MY02PT&OCID=GE_web_Copilot_Free_868g3t5nj). *   [AI in Windows](https://www.microsoft.com/en-us/windows/ai-features?icid=DSM_Footer_WhatsNew_AIinWindows). *   [AI for education](https://www.microsoft.com/en-us/education/ai-in-education). *   [Microsoft AI](https://www.microsoft.com/en-us/ai?icid=DSM_Footer_AI). *   [Microsoft 365 Copilot](https://www.microsoft.com/en-us/microsoft-365-copilot?icid=DSM_Footer_Microsoft365Copilot). *   [Manage cookies](https://www.microsoft.com/en-us/microsoft-365/powerpoint/ai-powerpoint-generator#).

Best AI Presentation Generator 2026: From Prompt to Polished ...

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Question: PPT master AI presentation generator tool 2025 2026

The Best AI Presentation Tools in 2026

Question: PPT master AI presentation generator tool 2025 2026

The Best AI Presentation Tools in 2026


搜索结果主要显示的是AI PPT生成工具，用户搜索的"PPT master"可能是指某个特定的工具。让我再搜索一下，看看是否有叫做"PPT Master"或"pptmaster"的具体项目。

Question: "PPT Master" OR "pptmaster" OR "ppt-master" open source github tool


Question: PPT Master OR pptmaster OR ppt-master open source github tool

ppt-master | The Open Source Drop

ppt-master | The Open Source Drop. PPT Master takes a PDF, DOCX, URL, or Markdown file and gives you back a native, editable PowerPoint. Every element opens and edits like a slide a human built. It runs inside AI IDEs like Claude Code and Cursor rather than as a standalone web service. The v2 line added live preview while you iterate, template replication (feed it your brand deck, get matching output), animations, and narration. Examples in the repo span hundreds of slides so you can eyeball the quality before committing. If you ship slides as part of your job and don't have a designer, this saves real hours. You run it inside Claude Code, Cursor, or whatever AI IDE you already use. Cost is the LLM API or subscription you already pay for, plus tokens for generating content and layout decisions. You pay only for the LLM tokens used to generate the slides.

ppt-master/docs/why-ppt-master.md at main · hugohe3/ppt-master · GitHub

We read every piece of feedback, and take your input very seriously. ## Use saved searches to filter your results more quickly. # Why PPT Master. This page explains what PPT Master does differently — and where it's not the right choice. PPT Master itself is free and open source. PPT Master works with this model naturally: there's no separate PPT subscription, no proprietary credits, no per-seat fee for a presentation platform on top of what you're already paying for AI. PPT Master adds zero cost on top of your existing AI spend. The only external communication is between you and your AI editor — no different from how you normally use it. PPT Master is a framework, not a plugin for a specific IDE. ## Where PPT Master Is Not the Right Choice. **If you want native editability, predictable cost, local data, and no lock-in** — that's what PPT Master is built for. ### Footer navigation.

hugohe3/ppt-master: AI generates a real, editable PowerPoint from ...

This project is kept free and open source with the support of PackyCode, APIKEY.FUN and other sponsors. PackyCode provides special discounts for our project users: register using this link and enter the promo code **ppt-master** during recharge to get 10% off. ### Of course, you can also download any of the six example decks below — opening the raw .pptx in PowerPoint is the fastest way to see this project's real capability ceiling. Drop in your source material and get back a **real PowerPoint**: directly editable, with native slide transitions and entrance animations, speaker notes you can turn into audio narration, and the option to follow your own PPT template — a complete deck you can present as-is and keep editing. You chat with the AI — "make a deck from this PDF" — and it follows the workflow to produce a real editable `.pptx` on your computer.

ppt-master - AI Agents on GitHub (25.8k  ) | SkillsLLM

AI generates a real, editable PowerPoint from any document — native shapes & animations, speaker notes voiced as audio narration, and the option to follow your own .pptx template, not slide images · by Hugo He. View on GitHubDownload ZIPScan for vulnerabilities. # Add to your Claude Code skills git clone https://github.com/hugohe3/ppt-master. Drop in your source material and get back a **real PowerPoint**: directly editable, with native slide transitions and entrance animations, speaker notes you can turn into audio narration, and the option to follow your own PPT template — a complete deck you can present as-is and keep editing. > **⚠ PPT Master is a harness, not a complete agent.** `harness + model = agent` — the tool owns the workflow; the model sets the ceiling. You chat with the AI — "make a deck from this PDF" — and it follows the workflow to produce a real editable `.pptx` on your computer.

ppt-master/docs/faq.md at main - GitHub

## Navigation Menu. # Search code, repositories, users, issues, pull requests... # Provide feedback. ## Footer. # faq.md. Yes. Tell the AI your topic or scenario (e.g. Quality depends on what's on the open web. ## Q: Can PPT Master produce formats other than PowerPoint? | Xiaohongshu (RED) 3:4 | Image-text sharing, knowledge posts |. | WeChat Article Header | WeChat article cover images |. The output is still a `.pptx` file containing native shapes. See the cost comparison below for pricing differences. ## Q: I don't have an image-generation API key — can I still get images? PPT Master ships a zero-config `image_search.py` that searches openly-licensed images across Openverse and Wikimedia Commons (no API key needed). Sincere feedback and suggestions are always welcome, because that's how the project gets a little better over time. **Tip**: The more specific you are about the style and use case, the better the generated template will match your expectations. For more questions, see SKILL.md and AGENTS.md. ### Footer navigation.

Question: PPT Master OR pptmaster OR ppt-master open source github tool

ppt-master | The Open Source Drop

ppt-master/docs/faq.md at main - GitHub

Question: PPT Master OR pptmaster OR ppt-master open source github tool

ppt-master | The Open Source Drop

ppt-master/docs/faq.md at main - GitHub


找到了！PPT Master 是 hugohe3/ppt-master 这个项目，在 GitHub 上有 25.8k+ stars。它不是一个独立的 web 应用，而是一个 AI 框架/工具链，用于在 AI IDE（如 Claude Code、Cursor）中生成真实的、可编辑的 PowerPoint 文件。

让我再搜索一下更多细节，然后给用户总结。

Question: hugohe3 ppt-master GitHub stars features Python 2026


Question: hugohe3 ppt-master GitHub stars features Python 2026

HugoHe hugohe3 - GitHub

[Sign in](/login?return_to=https%3A%2F%2Fgithub.com%2Fhugohe3). [Search syntax tips](https://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax). [Sign in](/login?return_to=https%3A%2F%2Fgithub.com%2Fhugohe3). [Sign up](/signup?ref_cta=Sign+up&ref_loc=header+logged+out&ref_page=%2F%3Cuser-name%3E&source=header). You signed in with another tab or window. You signed out in another tab or window. You switched accounts on another tab or window. **hugohe3**   [Follow](/login?return_to=https%3A%2F%2Fgithub.com%2Fhugohe3). [Follow](/login?return_to=https%3A%2F%2Fgithub.com%2Fhugohe3). # HugoHe hugohe3. [Follow](/login?return_to=https%3A%2F%2Fgithub.com%2Fhugohe3). [180 followers](https://github.com/hugohe3?tab=followers)  ·  [6 following](https://github.com/hugohe3?tab=following). ## [Achievements](/hugohe3?tab=achievements). [x3](/hugohe3?achievement=pair-extraordinaire&tab=achievements)[x4](/hugohe3?achievement=starstruck&tab=achievements). ## [Achievements](/hugohe3?tab=achievements). [x3](/hugohe3?achievement=pair-extraordinaire&tab=achievements)[x4](/hugohe3?achievement=starstruck&tab=achievements). [hugohe3](/hugohe3/hugohe3)/README.md. ## 🚀 [`ppt-master`](https://github.com/hugohe3/ppt-master). AI turns any document into a **natively editable PPTX**. [Live Demo](https://hugohe3.github.io/ppt-master/) · [About me →](https://hehugo.com). *Open to collaborations in finance × AI tooling —* [heyug3@gmail.com](mailto:heyug3@gmail.com). ## Pinned Loading. 1. [ppt-master](/hugohe3/ppt-master) ppt-master Public. AI generates a real, editable PowerPoint from any document — native shapes & animations, speaker notes voiced as audio narration, and the option to follow your own .pptx template, not slide images …. Python   [25.9k](/hugohe3/ppt-master/stargazers)   [2.3k](/hugohe3/ppt-master/forks). 2. [70cityprice](/hugohe3/70cityprice) 70cityprice Public. Python   [34](/hugohe3/70cityprice/stargazers)   [5](/hugohe3/70cityprice/forks). Something went wrong, please refresh the page to try again. If the problem persists, check the [GitHub status page](https://www.githubstatus.com/) or [contact support](/contact). There was an error while loading.

GitHub上这个开源AI工具，让打工人从此不用再熬夜做PPT - 知乎专栏

最近在GitHub上发现一个做PPT的开源工具，叫PPT Master，作者是一位独立开发者Hugo He， 金融行业出身。 GitHub 地址： github.com/hugohe3/ppt-master.

[](https://www.youtube.com/watch?v=FAzQa4C0AYk). [](https://www.youtube.com/watch?v=FAzQa4C0AYk). [](https://www.youtube.com/watch?v=FAzQa4C0AYk). [Video 1](https://www.youtube.com/watch?v=FAzQa4C0AYk). [](https://www.youtube.com/watch?v=FAzQa4C0AYk). [](https://www.youtube.com/watch?v=FAzQa4C0AYk). [Top 33 GitHub Projects of January 2026 (Monthly Review #4)](https://www.youtube.com/watch?v=FAzQa4C0AYk). [](https://www.youtube.com/watch?v=FAzQa4C0AYk). [](https://www.youtube.com/watch?v=FAzQa4C0AYk). ![Image 4](https://www.youtube.com/watch?v=FAzQa4C0AYk). [](https://www.youtube.com/watch?v=FAzQa4C0AYk). [](https://www.youtube.com/watch?v=FAzQa4C0AYk "Share link")- [x] Include playlist. ![Image 6](https://www.youtube.com/watch?v=FAzQa4C0AYk). #### [Introduction](https://www.youtube.com/watch?v=FAzQa4C0AYk). #### [Everything Claude Code](https://www.youtube.com/watch?v=FAzQa4C0AYk&t=18s). #### [agent-browser](https://www.youtube.com/watch?v=FAzQa4C0AYk&t=69s). #### [DeepTutor](https://www.youtube.com/watch?v=FAzQa4C0AYk&t=97s). [![Image 13](https://www.youtube.com/watch?v=FAzQa4C0AYk) ### Github Awesome 58.2K subscribers](https://www.youtube.com/@GithubAwesome). #### [Introduction](https://www.youtube.com/watch?v=FAzQa4C0AYk). #### [agent-browser](https://www.youtube.com/watch?v=FAzQa4C0AYk&t=69s&pp=0gcJCRkDDuyUWbzu). #### [DeepTutor](https://www.youtube.com/watch?v=FAzQa4C0AYk&t=97s). #### [kreuzberg](https://www.youtube.com/watch?v=FAzQa4C0AYk&t=122s). #### [Ralph](https://www.youtube.com/watch?v=FAzQa4C0AYk&t=171s). #### [City Map Poster Generator](https://www.youtube.com/watch?v=FAzQa4C0AYk&t=201s). #### [OpenWork](https://www.youtube.com/watch?v=FAzQa4C0AYk&t=228s). #### [mapcn](https://www.youtube.com/watch?v=FAzQa4C0AYk&t=281s). #### [1Code](https://www.youtube.com/watch?v=FAzQa4C0AYk&t=334s). #### [Antigravity Awesome Skills](https://www.youtube.com/watch?v=FAzQa4C0AYk&t=358s&pp=0gcJCRkDDuyUWbzu). #### [Engram](https://www.youtube.com/watch?v=FAzQa4C0AYk&t=386s). #### [moltworker](https://www.youtube.com/watch?v=FAzQa4C0AYk&t=409s). #### [Awesome OpenClaw Skills](https://www.youtube.com/watch?v=FAzQa4C0AYk&t=436s&pp=0gcJCRkDDuyUWbzu). #### [zerobrew](https://www.youtube.com/watch?v=FAzQa4C0AYk&t=491s&pp=0gcJCRkDDuyUWbzu). #### [hive](https://www.youtube.com/watch?v=FAzQa4C0AYk&t=519s). #### [nanobot](https://www.youtube.com/watch?v=FAzQa4C0AYk&t=547s). #### [Humanizer](https://www.youtube.com/watch?v=FAzQa4C0AYk&t=576s). #### [skills](https://www.youtube.com/watch?v=FAzQa4C0AYk&t=659s). #### [ChartGPU](https://www.youtube.com/watch?v=FAzQa4C0AYk&t=689s). #### [HeartMuLa](https://www.youtube.com/watch?v=FAzQa4C0AYk&t=716s). #### [PDFCraft](https://www.youtube.com/watch?v=FAzQa4C0AYk&t=743s). #### [dash](https://www.youtube.com/watch?v=FAzQa4C0AYk&t=771s). #### [taws](https://www.youtube.com/watch?v=FAzQa4C0AYk&t=826s). #### [Trellis](https://www.youtube.com/watch?v=FAzQa4C0AYk&t=883s). #### [Introduction](https://www.youtube.com/watch?v=FAzQa4C0AYk). #### [agent-browser](https://www.youtube.com/watch?v=FAzQa4C0AYk&t=69s). [![Image 55](https://www.youtube.com/watch?v=FAzQa4C0AYk) ### Github Awesome 58.2K subscribers](https://www.youtube.com/@GithubAwesome). ![Image 59](https://www.youtube.com/watch?v=FAzQa4C0AYk). ![Image 61](https://www.youtube.com/watch?v=FAzQa4C0AYk). ![Image 63](https://www.youtube.com/watch?v=FAzQa4C0AYk). ![Image 65](https://www.youtube.com/watch?v=FAzQa4C0AYk). ![Image 67](https://www.youtube.com/watch?v=FAzQa4C0AYk). ![Image 69](https://www.youtube.com/watch?v=FAzQa4C0AYk). ![Image 71](https://www.youtube.com/watch?v=FAzQa4C0AYk). ![Image 73](https://www.youtube.com/watch?v=FAzQa4C0AYk). ![Image 75](https://www.youtube.com/watch?v=FAzQa4C0AYk). ![Image 77](https://www.youtube.com/watch?v=FAzQa4C0AYk). ![Image 79](https://www.youtube.com/watch?v=FAzQa4C0AYk). ![Image 81](https://www.youtube.com/watch?v=FAzQa4C0AYk). ![Image 83](https://www.youtube.com/watch?v=FAzQa4C0AYk). ![Image 85](https://www.youtube.com/watch?v=FAzQa4C0AYk). ![Image 87](https://www.youtube.com/watch?v=FAzQa4C0AYk). ![Image 88](https://www.youtube.com/watch?v=FAzQa4C0AYk). ![Image 89](https://www.youtube.com/watch?v=FAzQa4C0AYk). ![Image 91](https://www.youtube.com/watch?v=FAzQa4C0AYk). ![Image 93](https://www.youtube.com/watch?v=FAzQa4C0AYk). ![Image 94](https://www.youtube.com/watch?v=FAzQa4C0AYk). ![Image 96](https://www.youtube.com/watch?v=FAzQa4C0AYk). ![Image 98](https://www.youtube.com/watch?v=FAzQa4C0AYk). ![Image 100](https://www.youtube.com/watch?v=FAzQa4C0AYk). [](https://www.youtube.com/watch?v=FAzQa4C0AYk).

Question: hugohe3 ppt-master GitHub stars features Python 2026

HugoHe hugohe3 - GitHub

GitHub上这个开源AI工具，让打工人从此不用再熬夜做PPT - 知乎专栏

Question: hugohe3 ppt-master GitHub stars features Python 2026

HugoHe hugohe3 - GitHub

GitHub上这个开源AI工具，让打工人从此不用再熬夜做PPT - 知乎专栏


用户要求搜索"PPt master"，我已经找到了这个项目的详细信息。让我整理一下搜索结果。

PPt Master 是 GitHub 上的 hugohe3/ppt-master 项目，主要特点：
- 25.9k+ stars
- 用 Python 编写
- 开源免费
- 它是一个框架/工具链，不是独立 Web 服务
- 在 AI IDE（Claude Code、Cursor）中运行
- 输入 PDF/DOCX/URL/Markdown，输出真实的、可编辑的 .pptx 文件
- 支持原生形状、动画、幻灯片切换、演讲者备注、音频旁白
- 可以套用自定义 PPT 模板
- 零额外成本（只需支付 LLM API 费用）

让我给用户一个清晰的总结。

搜索到了，**PPT Master** 是 GitHub 上的热门开源项目：

---

## PPT Master (`hugohe3/ppt-master`)

| 项目 | 信息 |
|------|------|
| **GitHub** | [hugohe3/ppt-master](https://github.com/hugohe3/ppt-master) |
| **Stars** | ~25.9k |
| **语言** | Python |
| **许可证** | 开源免费 |

### 核心功能

- **输入**：PDF、DOCX、URL、Markdown 文件
- **输出**：真正的 `.pptx` 文件（不是图片拼凑的幻灯片），所有元素都可在 PowerPoint 中直接编辑
- **原生支持**：形状、幻灯片切换动画、入场动画、演讲者备注
- **音频旁白**：演讲者备注可自动转为语音旁白
- **模板套用**：可以传入你自己的品牌 PPT 模板，生成风格一致的输出

### 使用方式

PPT Master 不是一个独立 Web 服务，而是一个**在 AI IDE 中运行的框架/工具链**：

- 在 **Claude Code** 或 **Cursor** 中运行
- 你对 AI 说："帮我把这份 PDF 做成 PPT"
- AI 调用 PPT Master 的工作流，在本地生成 `.pptx`

### 成本

- 零额外订阅费用，零按席位收费
- 只需支付你已有的 LLM API 费用（或 Claude Code / Cursor 订阅费用）

### 示例

GitHub 仓库里提供了数百页的示例 PPT，可以直接下载打开看生成质量。

---

如果你想部署或试用这个项目，我可以帮你拉取代码、配置环境。


怎么使用这个呢


用户问怎么使用 PPT Master。让我先看一下这个项目的详细信息，了解它的使用方式。我需要在 GitHub 上搜索更多关于安装和使用的方法。

让我用 tavily 搜索更多关于 PPT Master 的安装和使用说明。

Question: hugohe3 ppt-master installation setup guide usage python requirements


Question: hugohe3 ppt-master installation setup guide usage python requirements

ppt-master/docs/windows-installation.md at main · hugohe3/ppt-master · GitHub

You signed in with another tab or window. You switched accounts on another tab or window. This guide walks you through installing PPT Master on Windows step by step. ## Step 1 — Install Python (Required). 1. Go to **python.org/downloads** and download the latest **Python 3.10+** installer. 2. **⚠ CRITICAL: Check "Add python.exe to PATH"** during installation — this is the single most common mistake on Windows. 3. After installation, open **PowerShell** (search "PowerShell" in Start menu) and verify:. If you see "Python was not found" or it opens the Microsoft Store, see Troubleshooting below. ## Step 2 — Download the Project. 3. Unzip to `C:\Users\YourName\ppt-master`. ## Step 3 — Install Dependencies. > If `pip` is not recognized, try `python -m pip install -r requirements.txt`. If a `.pptx` file appears in `exports/` that opens in PowerPoint — **you're done.**. **Fix 1** — Re-run the Python installer → **Modify** → check **"Add Python to environment variables"**.

ppt-master:基于AI IDE 工作流的原生可编辑PPT 生成项目 - GitCode

Python 3.10+, ✓ 必需, 核心运行时——唯一真正需要安装的东西. 一句话总结— 装好Python，跑一行 pip install -r requirements.txt ，就可以开始生成PPT 了。 Windows — 请

An Innovative Tool for Generating "Editable PowerPoint" with AI - note

Prerequisites and setup First, you need to install Python 3.10 or higher. Then, run pip install -r requirements.txt within the project

ppt-master on Pinokio

AI generates natively editable PPTX from any document — real PowerPoint shapes, not images — no design skills needed.

Analyze hugohe3/ppt-master | OSSInsight

# hugohe3/ppt-master— GitHub Repository Analytics. hugohe3/ppt-masteris aPythonopen source project on GitHub. This page provides real-time analytics for hugohe3/ppt-master, including star history, commit activity, pull request and issue trends, contributor statistics, geographic distribution, and code change frequency. # hugohe3/ppt-master. The growth trend and the specific number of stars since the repository was established. Stargazers, Issue creators, and Pull Request creators' geographical distribution around the world (analyzed with the public GitHub information). The trend of the total number of commits/pushes per month in a repository since it was created. The bars show the additions or deletions of code in Pull Requests monthly. The line chart demonstrates the total lines of code in Pull Requests (additions + deletions). The time of a Pull Request from submitting to merging. p25/p75: 25%/75% Pull Requests are merged within X minute/hour/day. Check the activity of contributors in the repository last month, including push and commit events, issue open/close/comment events, code review comments/PRs/submits.

Question: hugohe3 ppt-master installation setup guide usage python requirements

ppt-master on Pinokio

Analyze hugohe3/ppt-master | OSSInsight

Question: hugohe3 ppt-master installation setup guide usage python requirements

ppt-master on Pinokio

Analyze hugohe3/ppt-master | OSSInsight


用户问怎么使用 PPT Master。让我再搜索更多关于它的使用方法，特别是 SKILL.md 和 AGENTS.md 的内容，因为这是一个 AI IDE 工具。

Question: hugohe3 ppt-master SKILL.md AGENTS.md Claude Code usage workflow


Question: hugohe3 ppt-master SKILL.md AGENTS.md Claude Code usage workflow

Ppt Master | Claude Code Skills

Every Monday: Claude Code, Agent SDK, MCP, and the Anthropic platform moves worth your time. ### Claude Code Marketplaces. Discover Claude Code plugins, extensions, and tools. Automatically updated directory of Anthropic Claude AI marketplaces with development tools, productivity plugins, and integrations. Built for the Claude Code community with Claude Code by @mertduzgun. # Ppt Master. This is a pipeline for turning source documents into presentation decks via SVG generation. You feed it PDFs, Word docs, URLs, or markdown, and it runs a multi-step workflow with strategist planning, image generation, sequential SVG authoring, and PPTX export. The architecture is deliberately rigid: serial execution with blocking gates, no speculative work, and a hard rule that every slide must be hand-written by the main agent rather than script-generated. That last constraint exists to preserve visual consistency across long decks, though it comes at a token cost. The workflow discipline is intense but documented clearly if you need to debug or extend it. `npx skills add https://github.com/hugohe3/ppt-master --skill ppt-master`. jeremylongshore/claude-code-plugins-plus-skills.

# ppt-master/CLAUDE.md at main · hugohe3/ppt-master · GitHub. *   GitHub Copilot Write better code with AI. *   Code security Secure your code as you build. You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. This file is the project entry point for Claude Code. **You MUST read `skills/ppt-master/SKILL.md` before any PPT generation task or repo modification.** This repository exists to generate presentations; SKILL.md is the authoritative workflow that owns project creation, role switching, serial execution, quality gates, post-processing, export, and every per-step command. > Topic-only requests with no source material: run the standalone `topic-research` workflow before SKILL.md Step 1 to gather web materials. python3 skills/ppt-master/scripts/project_manager.py validate <project_path>. python3 skills/ppt-master/scripts/analyze_images.py <project_path>/images. python3 skills/ppt-master/scripts/latex_render.py <project_path>. python3 skills/ppt-master/scripts/latex_render.py <project_path> --dry-run. python3 skills/ppt-master/scripts/svg_quality_checker.py <project_path>. python3 skills/ppt-master/scripts/total_md_split.py <project_path>. python3 skills/ppt-master/scripts/finalize_svg.py <project_path>. python3 skills/ppt-master/scripts/svg_to_pptx.py <project_path>.

Claude Agent Skills: A First Principles Deep Dive - Han, Not Solo

Claude’s Agent `Skills` system represents a sophisticated prompt-based meta-tool architecture that extends LLM capabilities through specialized instruction injection. Unlike traditional function calling or code execution, `skills` operate through **prompt expansion** and **context modification** to modify how Claude processes subsequent requests without writing executable code. This deep dive deconstructs Claude’s Agent `Skills` system from first principles, documents the architecture where a tool named “`Skill`” acts as a meta-tool for injecting domain-specific prompts into the conversation context. We’ll walk through the complete lifecycle using the `skill-creator` and `internal-comms` skill as case studies, examining everything from file parsing to API request structure to Claude’s decision-making process. When a skill is invoked, it modifies both the conversation context (by injecting instruction prompts) and the execution context (by changing tool permissions and potentially switching the model). When Claude invokes a skill, the system follows a simple workflow: it loads a markdown file (`SKILL.md`), expands it into detailed instructions, injects those instructions as new user messages into the conversation context, modifies the execution context (allowed tools, model selection), and continues the conversation with this enriched environment.

pptx | Skills Marketplace - LobeHub

演示文稿创建、编辑和分析。当 Claude 需要处理演示文稿（.pptx 文件）时：(1) 创建新演示文稿，(2) 修改或编辑内容，(3) 处理布局，(4) 添加评论或演讲者

Question: hugohe3 ppt-master SKILL.md AGENTS.md Claude Code usage workflow

Ppt Master | Claude Code Skills

pptx | Skills Marketplace - LobeHub

Question: hugohe3 ppt-master SKILL.md AGENTS.md Claude Code usage workflow

Ppt Master | Claude Code Skills

pptx | Skills Marketplace - LobeHub


用户问怎么使用 PPT Master。让我综合搜索到的信息，给用户一个清晰的使用指南。

从搜索结果来看，PPT Master 的使用方式有几种：

1. **在 Claude Code 中使用**（推荐方式）：通过 Claude Code Skills 系统添加
2. **在 Cursor 中使用**：类似
3. **独立使用**：Python 运行

让我给用户一个清晰的步骤说明。

PPT Master 有几种使用方式，推荐按你的 IDE 选择：

---

## 方式一：在 Claude Code 中使用（推荐）

PPT Master 是作为 Claude Code Skill 设计的，这是最自然的用法：

```bash
# 1. 安装技能
npx skills add https://github.com/hugohe3/ppt-master --skill ppt-master

# 或者手动克隆
git clone https://github.com/hugohe3/ppt-master
cd ppt-master
```

然后对 Claude 说：

> "帮我把这份 PDF/Word 文档做成 PPT"

Claude 会读取 `skills/ppt-master/SKILL.md`，按工作流执行：
1. 分析源文档
2. 规划策略
3. 生成 SVG 幻灯片
4. 导出 `.pptx`

---

## 方式二：在 Cursor 中使用

Cursor 也能用，但流程类似——你把项目克隆到工作区，让 Cursor 读取 `SKILL.md` 后按工作流执行。

---

## 方式三：独立 Python 运行（不依赖 IDE）

```bash
# 1. 克隆项目
git clone https://github.com/hugohe3/ppt-master
cd ppt-master

# 2. 安装 Python 依赖（需 Python 3.10+）
pip install -r requirements.txt

# 3. 运行工作流
python3 skills/ppt-master/scripts/project_manager.py validate <项目路径>
```

---

## 核心工作流

| 步骤 | 命令/动作 |
|------|-----------|
| 验证项目 | `python3 skills/ppt-master/scripts/project_manager.py validate <path>` |
| 分析图片 | `python3 skills/ppt-master/scripts/analyze_images.py <path>/images` |
| LaTeX 渲染 | `python3 skills/ppt-master/scripts/latex_render.py <path>` |
| SVG 质量检查 | `python3 skills/ppt-master/scripts/svg_quality_checker.py <path>` |
| 分割 Markdown | `python3 skills/ppt-master/scripts/total_md_split.py <path>` |
| 最终 SVG 处理 | `python3 skills/ppt-master/scripts/finalize_svg.py <path>` |
| SVG → PPTX | `python3 skills/ppt-master/scripts/svg_to_pptx.py <path>` |

**最终输出**：`exports/` 目录下的 `.pptx` 文件

---

## 关键前提

1. **Python 3.10+**（Windows 安装时务必勾选"Add to PATH"）
2. **AI 模型**：需要 Claude 或 GPT-4 级别的模型来执行工作流（PPT Master 本身只是 harness，模型质量决定输出天花板）
3. **API Key**：需要配置对应 LLM 的 API Key

---

你想用哪种方式？如果是在 Claude Code 里，我可以帮你直接配置。如果是独立部署，我可以帮你拉代码、装依赖。


帮我的sproutclaw的skills文件夹安装这个PPT master skills


用户要求帮他在 sproutclaw 的 skills 文件夹安装 PPT Master。让我先看看 sproutclaw 的 skills 目录结构，然后克隆项目到正确位置。

根据之前的对话，sproutclaw 的 skills 目录在 `.pi/agent/skills/` 下。PPT Master 是一个 GitHub 仓库，需要克隆到 skills 目录中。

让我先检查一下当前 skills 目录的结构，然后执行克隆。


command-help-zh-skill
frontend-design
gitea-tea-skill
github-gh-skill
linux-ssh-operator-skill
README.md
skill-creator
skills


让我先查看一下 skills 目录的详细结构，以及 README.md 的内容，了解正确的安装方式。


# Skills

这里是本机通用 Skills 目录，给大模型统一放可复用的技能包、流程说明和模板。

## 目录约定

- 每个 Skill 单独一个子目录
- 入口文件通常使用 `SKILL.md`
- 可按需包含 `references/`、`scripts/`、`assets/` 等辅助目录
- Skill 内尽量写清楚触发条件、输入输出、约束和操作步骤

## 推荐结构

```text
/root/skills/
  your-skill/
    SKILL.md
    references/
    scripts/
    assets/
```

## 当前状态

- 目前这个目录已作为小萌芽本机的日常开发主目录使用
- 先在这里维护、测试和迭代 Skill，确认稳定后再同步到 `~/.codex/skills/` 和 `~/.claude/skills/`
- 当前已放入的自定义 Skill：
  - `command-help-zh-skill`
  - `mengya-mail-skill`
  - `mengya-search-skill`
  - `linux-ssh-operator-skill`
- 前两个 Skill 的实现分别对接：
  - `/shumengya/project/python/mengya-mail-api/src/mengya_mail_api/`
  - `/shumengya/project/python/mengya-search-api/src/mengya_search_api/`
- `linux-ssh-operator-skill` 的脚本与说明位于：
  - `/shumengya/project/skills/linux-ssh-operator-skill/`
- 如果某些 Skill 需要接入特定工具或工作流，建议在 `SKILL.md` 顶部先写清适用范围

当前入口请直接走 `skills/...` 和对应的 `python/*-api/`。


add-llm-provider.md


看起来 `skills/skills/` 是一个子目录，里面只有一个 `add-llm-provider.md`。用户想要在 sproutclaw 的 skills 文件夹安装 PPT Master。

让我把 PPT Master 克隆到正确的位置。根据 README，skill 应该放在 `/shumengya/project/agent/sproutclaw/.pi/agent/skills/` 下，每个 skill 一个子目录。

PPT Master 的 GitHub 仓库是 `https://github.com/hugohe3/ppt-master`，我需要克隆它。不过要注意，这个仓库很大，而且主要设计为 Claude Code Skill 使用。

让我先设置代理，然后克隆。

bash

export https_proxy=http://192.168.1.1:17892 && git clone https://github.com/hugohe3/ppt-master.git /shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master 2>&1 | tail -20


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克隆完成了。让我检查一下克隆后的目录结构，确认安装正确，然后看看是否有 requirements.txt 需要安装依赖。

ls -1 /shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/ && echo "---" && du -sh /shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/


AGENTS.md
CLAUDE.md
CODE_OF_CONDUCT.md
CONTRIBUTING.md
docs
examples
index.html
LICENSE
projects
README_CN.md
README.md
requirements.txt
SECURITY.md
skills
viewer.html
---
1.5G	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/


让我检查 requirements.txt 和 skills 目录结构，确认安装正确。


# PPT Master Dependencies / PPT Master 依赖
# =============================================
#
# Full list lives inside the skill so installing the skill alone gives full capability.
# 完整依赖列表已内置于 skill 内部，单独安装 skill 即可获得完整能力。
#
# Install / 安装方式：
#   pip install -r requirements.txt                     # from repo root / 仓库根目录
#   pip install -r skills/ppt-master/requirements.txt   # from anywhere / 任意位置
#
-r skills/ppt-master/requirements.txt


ppt-master


看起来 requirements.txt 指向了 skills/ppt-master/requirements.txt，让我检查那个文件。


# PPT Master Dependencies / PPT Master 依赖
# =============================================
#
# Most tools use only the Python standard library. Below are optional dependencies.
# 大部分工具仅使用 Python 标准库，以下为可选依赖。
#
# Install / 安装方式：
#   pip install -r requirements.txt

# ─────────────────────────────────────────────────────────────
# SVG to PPTX tool / SVG 转 PPTX 工具 (skills/ppt-master/scripts/svg_to_pptx.py)
# ─────────────────────────────────────────────────────────────
# Batch-convert SVG files to PowerPoint presentations.
# 用于将 SVG 文件批量转换为 PowerPoint 演示文稿
# Uses Office-compatible mode (PNG + SVG dual format) by default, supports all Office versions.
# 默认使用 Office 兼容模式（PNG + SVG 双格式），支持所有 Office 版本
python-pptx>=0.6.21

# Recorded narration / 录制计时和旁白
# notes_to_audio.py generates per-slide narration audio on macOS/Linux/Windows.
# notes_to_audio.py 用于在 macOS/Linux/Windows 上生成逐页旁白音频。
edge-tts>=7.2.8

# Office compatibility dependencies (choose one, CairoSVG preferred)
# Office 兼容模式依赖（二选一，优先使用 cairosvg）
# Converts SVG to PNG fallback images for Office LTSC 2021 etc.
# 用于将 SVG 转换为 PNG 后备图片，确保 Office LTSC 2021 等版本正常显示
#
# Option A / 方案 A: CairoSVG (recommended / 推荐, ~25MB, full gradient/filter support)
#   pip install cairosvg
#   macOS: brew install cairo
#
# Option B / 方案 B: svglib (lightweight / 轻量, ~5MB, some gradients may be lost)
svglib>=1.5.0
reportlab>=4.0.0

# ─────────────────────────────────────────────────────────────
# PDF to Markdown tool / PDF 转 Markdown 工具 (skills/ppt-master/scripts/source_to_md/pdf_to_md.py)
# ─────────────────────────────────────────────────────────────
# Converts PDF to Markdown with text, image, and table extraction.
# 用于将 PDF 文件转换为 Markdown 格式，支持文本、图片、表格提取
PyMuPDF>=1.23.0

# ─────────────────────────────────────────────────────────────
# Document to Markdown tool / 文档转 Markdown 工具 (skills/ppt-master/scripts/source_to_md/doc_to_md.py)
# ─────────────────────────────────────────────────────────────
# Native (pure-Python) paths — no external binary required:
# 原生路径（纯 Python，无需外部程序）：
#   .docx   → mammoth
#   .html   → markdownify (+ beautifulsoup4, listed below)
#   .epub   → ebooklib (+ markdownify)
#   .ipynb  → nbconvert
mammoth>=1.6.0
markdownify>=0.11.6
ebooklib>=0.18
nbconvert>=7.0.0

# ─────────────────────────────────────────────────────────────
# Excel to Markdown tool / Excel 转 Markdown 工具 (skills/ppt-master/scripts/source_to_md/excel_to_md.py)
# ─────────────────────────────────────────────────────────────
# Converts .xlsx/.xlsm workbooks to Markdown while preserving sheet structure.
# 用于将 .xlsx/.xlsm 工作簿转换为 Markdown，并保留工作表结构。
openpyxl>=3.1.0
#
# Fallback path — only needed for less common formats
# (.doc .odt .rtf .tex/.latex .rst .org .typ).
# Not required if you only convert the four native formats above.
# 备用路径 —— 仅在需要处理以下小众格式时才用到
# (.doc .odt .rtf .tex/.latex .rst .org .typ)。
# 如果只处理上述四种原生格式，无需安装。
#   macOS:   brew install pandoc
#   Ubuntu:  sudo apt install pandoc
#   Windows: https://pandoc.org/installing.html

# ─────────────────────────────────────────────────────────────
# Image processing tools / 图片处理工具
# ─────────────────────────────────────────────────────────────
# fix_image_aspect.py - Fix image aspect ratio (prevent stretching during PPT shape conversion)
# fix_image_aspect.py - 修复图片宽高比（防止 PPT 转形状时拉伸）
# gemini_watermark_remover.py - Remove watermarks from Gemini-generated images
# gemini_watermark_remover.py - 去除 Gemini 生成图片的水印
Pillow>=9.0.0
numpy>=1.20.0

# ─────────────────────────────────────────────────────────────
# Web to Markdown tool / 网页转 Markdown 工具 (skills/ppt-master/scripts/source_to_md/web_to_md.py)
# ─────────────────────────────────────────────────────────────
requests>=2.31.0
beautifulsoup4>=4.12.0
# Optional — TLS fingerprint impersonation for sites that block Python's
# default TLS fingerprint (e.g., WeChat mp.weixin.qq.com). If installed,
# web_to_md.py uses it automatically; otherwise falls back to requests.
# Install this to avoid needing Node.js for WeChat / portal pages.
# 可选 —— 用于绕过 TLS 指纹屏蔽（例如微信公众号等）。装了之后 web_to_md.py
# 会自动启用；不装则回退到 requests。装了它就不必再装 Node.js。
curl_cffi>=0.7.0

# ─────────────────────────────────────────────────────────────
# AI image generation tool / AI 图片生成工具 (skills/ppt-master/scripts/image_gen.py)
# ─────────────────────────────────────────────────────────────
# Gemini backend / Gemini 后端 (IMAGE_BACKEND=gemini)
google-genai>=1.0.0
# OpenAI-compatible backend uses requests from the web tooling section above.
# OpenAI 兼容后端复用上方网页工具所需的 requests。

# ─────────────────────────────────────────────────────────────
# SVG Editor / SVG 编辑器 (skills/ppt-master/scripts/svg_editor/server.py)
# ─────────────────────────────────────────────────────────────
# Localhost web editor for annotating SVG elements with edit instructions.
# 本地 Web 编辑器，用于在 SVG 元素上添加编辑标注指令
flask>=3.0.0


references
requirements.txt
scripts
SKILL.md
templates
workflows


好的，PPT Master 已经克隆成功。现在让我检查是否需要安装 Python 依赖，以及 SKILL.md 的内容，确认技能安装正确。


---
name: ppt-master
description: >
  AI-driven multi-format SVG content generation system. Converts source documents
  (PDF/DOCX/URL/Markdown) into high-quality SVG pages and exports to PPTX through
  multi-role collaboration. Use when user asks to "create PPT", "make presentation",
  "生成PPT", "做PPT", "制作演示文稿", or mentions "ppt-master".
---

# PPT Master Skill

> AI-driven multi-format SVG content generation system. Converts source documents into high-quality SVG pages through multi-role collaboration and exports to PPTX.

**Core Pipeline**: `Source Document → Create Project → [Template] → Strategist → [Image_Generator] → Executor Live Preview → Quality Check → Post-processing → Export`

> [!CAUTION]
> ## 🚨 Global Execution Discipline (MANDATORY)
>
> **This workflow is a strict serial pipeline. The following rules have the highest priority — violating any one of them constitutes execution failure:**
>
> 1. **SERIAL EXECUTION** — Steps MUST be executed in order; the output of each step is the input for the next. Non-BLOCKING adjacent steps may proceed continuously once prerequisites are met, without waiting for the user to say "continue"
> 2. **BLOCKING = HARD STOP** — Steps marked ⛔ BLOCKING require a full stop; the AI MUST wait for an explicit user response before proceeding and MUST NOT make any decisions on behalf of the user
> 3. **NO CROSS-PHASE BUNDLING** — Cross-phase bundling is FORBIDDEN. (Note: the Eight Confirmations in Step 4 are ⛔ BLOCKING — the AI MUST present recommendations and wait for explicit user confirmation before proceeding. Once the user confirms, all subsequent non-BLOCKING steps — design spec output, SVG generation, speaker notes, and post-processing — may proceed automatically without further user confirmation)
> 4. **GATE BEFORE ENTRY** — Each Step has prerequisites (🚧 GATE) listed at the top; these MUST be verified before starting that Step
> 5. **NO SPECULATIVE EXECUTION** — "Pre-preparing" content for subsequent Steps is FORBIDDEN (e.g., writing SVG code during the Strategist phase)
> 6. **NO SUB-AGENT SVG GENERATION** — Executor Step 6 SVG generation is context-dependent and MUST be completed by the current main agent end-to-end. Delegating page SVG generation to sub-agents is FORBIDDEN
> 7. **SEQUENTIAL PAGE GENERATION ONLY** — In Executor Step 6, after the global design context is confirmed, SVG pages MUST be generated sequentially page by page in one continuous pass. Grouped page batches (for example, 5 pages at a time) are FORBIDDEN
> 8. **SPEC_LOCK RE-READ PER PAGE** — Before generating each SVG page, Executor MUST `read_file <project_path>/spec_lock.md`. All colors / fonts / icons / images MUST come from this file — no values from memory or invented on the fly. Executor MUST also look up the current page's `page_rhythm` (`anchor` / `dense` / `breathing`), `page_layouts` (which template SVG to inherit, if any), and `page_charts` (which chart template to adapt, if any). Empty / absent entries are intentional Strategist signals — see executor-base.md §2.1. This rule exists to resist context-compression drift on long decks and to break the uniform "every page is a card grid" default
> 9. **SVG MUST BE HAND-WRITTEN, NOT SCRIPT-GENERATED** — Every SVG page is written by the main agent directly, one page at a time (see rules 6 and 7). Writing or running a Python / Node / shell script that produces the SVG files in batch — looping over pages, templating from data, or emitting them via a generator — is FORBIDDEN, including under "save tokens", "quick draft", or "user is in a hurry" pretexts. The script-generation path was tried on a feature branch and abandoned: cross-page visual consistency depends on per-page authoring with full upstream context, which a generator script cannot reproduce

> [!IMPORTANT]
> ## 🌐 Language & Communication Rule
>
> - **Response language**: match the user's input and source materials. Explicit user override (e.g., "请用英文回答") takes precedence.
> - **Template format**: `design_spec.md` MUST follow its original English template structure (section headings, field names) regardless of conversation language. Content values may be in the user's language.

> [!IMPORTANT]
> ## 🔌 Compatibility With Generic Coding Skills
>
> - `ppt-master` is a repository-specific workflow, not a general application scaffold
> - Do NOT create `.worktrees/`, `tests/`, branch workflows, or generic engineering structure by default
> - On conflict with a generic coding skill, follow this skill unless the user explicitly says otherwise

## Main Pipeline Scripts

| Script | Purpose |
|--------|---------|
| `${SKILL_DIR}/scripts/source_to_md/pdf_to_md.py` | PDF to Markdown |
| `${SKILL_DIR}/scripts/source_to_md/doc_to_md.py` | Documents to Markdown — native Python for DOCX/HTML/EPUB/IPYNB, pandoc fallback for legacy formats (.doc/.odt/.rtf/.tex/.rst/.org/.typ) |
| `${SKILL_DIR}/scripts/source_to_md/excel_to_md.py` | Excel workbooks to Markdown — supports .xlsx/.xlsm; legacy .xls should be resaved as .xlsx |

[517 more lines in file. Use offset=51 to continue.]


好的，PPT Master 已经安装到 skills 目录了。让我确认一下安装是否完整，然后给用户一个总结。

ls -1 /shumengya/project/agent/sproutclaw/.pi/agent/skills/ && echo "---" && ls -1 /shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/ | head -20


command-help-zh-skill
frontend-design
gitea-tea-skill
github-gh-skill
linux-ssh-operator-skill
ppt-master
README.md
skill-creator
skills
---
analyze_images.py
animation_config.py
assets
batch_validate.py
check_annotations.py
config.py
docs
error_helper.py
finalize_svg.py
gemini_watermark_remover.py
generate_examples_index.py
image_backends
image_gen.py
image_search.py
image_sources
latex_render.py
notes_to_audio.py
pptx_animations.py
pptx_template_import.py
pptx_to_svg


PPT Master 已经成功安装到 sproutclaw 的 skills 目录了。让我给用户一个清晰的总结。

PPT Master 已成功安装到 sproutclaw 的 skills 目录！

## 安装结果

| 项目 | 路径 |
|------|------|
| **Skill 入口** | `/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/SKILL.md` |
| **核心脚本** | `.../ppt-master/skills/ppt-master/scripts/` |
| **文档** | `.../ppt-master/docs/` |
| **示例** | `.../ppt-master/examples/` |

## 当前 Skills 目录

```
.pi/agent/skills/
├── command-help-zh-skill
├── frontend-design
├── gitea-tea-skill
├── github-gh-skill
├── linux-ssh-operator-skill
├── ppt-master          ← 新增
├── skill-creator
└── skills/
```

## 使用方式

PPT Master 是一个**AI IDE 工作流技能**，在 Pi 中使用时：

1. **对 Pi 说**："帮我把这份 PDF 做成 PPT" 或 "用 ppt-master 生成演示文稿"
2. Pi 会读取 `SKILL.md` 中的工作流指令
3. 按以下管线执行：
   - 源文档 → 创建项目 → 模板选择 → 策略规划 → 图片生成 → SVG 制作 → 质量检查 → 后处理 → 导出 PPTX

## 如需安装 Python 依赖

```bash
cd /shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master
pip install -r requirements.txt
```

核心依赖包括：`python-pptx`、`Pillow`、`PyMuPDF`、`mammoth`、`requests` 等。

---

**注意**：PPT Master 仓库体积约 1.5GB（包含示例和项目文件），已完整克隆。


1.5gb这到底包含了什么玩意，会不会夹带挖矿脚本


用户担心PPT Master仓库1.5GB那么大，想知道里面有什么内容，是否安全，特别是担心是否夹带挖矿脚本。让我仔细分析一下这个仓库的内容，看看为什么会有1.5GB，以及是否存在安全隐患。

我需要：
1. 查看仓库目录结构和大小分布
2. 检查是否有可疑的文件（比如二进制文件、挖矿脚本等）
3. 分析为什么体积这么大
4. 给出安全评估

让我先深入检查仓库结构。

du -sh /shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/* | sort -hr


582M	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples
97M	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills
32M	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/docs
40K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/viewer.html
28K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/README.md
24K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/README_CN.md
24K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/index.html
12K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/CLAUDE.md
12K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/AGENTS.md
8.0K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/projects
8.0K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/CONTRIBUTING.md
4.0K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/SECURITY.md
4.0K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/requirements.txt
4.0K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/LICENSE
4.0K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/CODE_OF_CONDUCT.md


用户很担心，让我深入分析各个大目录，特别是examples和skills目录，看看里面有什么可疑的东西。

du -sh /shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/* | sort -hr | head -20


109M	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_image_text_showcase
68M	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_high_rise_renewal
50M	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_pritzker_2026
50M	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_indie_bookstore_zine_guide
36M	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_liziqi_plant_dye_colors
36M	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_home_design_trends_2026
31M	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_lin_huiyin_architect
29M	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_lin_huiyin_architect_revised
26M	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_glassmorphism_demo
25M	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_sugar_rush_memphis
25M	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_cangzhuo
23M	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_brutalist_ai_newspaper_2026
18M	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_attention_is_all_you_need
14M	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_lora_hu_2021
14M	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_kimsoong_loyalty_programme
12M	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_global_ai_capital_2026
9.3M	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_fashion_weekly_digest
5.4M	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_general_dark_tech_claude_code_auto_mode
5.1M	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_swiss_grid_systems
3.5M	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_building_effective_agents


examples目录里全是示例PPT项目，每个目录对应一个完整示例。让我看看每个示例里面有什么，以及为什么这么大。

ls -1 /shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_image_text_showcase/ | head -20 && echo "---" && du -sh /shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_image_text_showcase/* | sort -hr | head -10


design_spec.md
exports
images
notes
README.md
spec_lock.md
svg_final
svg_output
---
38M	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_image_text_showcase/images
36M	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_image_text_showcase/svg_final
36M	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_image_text_showcase/exports
168K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_image_text_showcase/svg_output
92K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_image_text_showcase/notes
20K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_image_text_showcase/design_spec.md
4.0K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_image_text_showcase/spec_lock.md
4.0K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_image_text_showcase/README.md


ls -1 /shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_image_text_showcase/images/ | head -10 && echo "---" && ls -1 /shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples/ppt169_image_text_showcase/exports/ | head -10


image_prompts.json
image_prompts.md
p01_cover.png
p03_left_img.png
p04_right_img.png
p05_top_img.png
p06_bottom_img.png
p07_z_img1.png
p07_z_img2.png
p08_grid_center.png
---
image-text-showcase.pptx


看起来images里面是PNG图片，exports是.pptx文件。这些都是正常的PPT项目产物。让我继续检查skills目录下有什么可疑的东西，以及scripts目录下是否有恶意文件。

du -sh /shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/* | sort -hr | head -20


308K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/svg_to_pptx
252K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/pptx_to_svg
192K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/svg_editor
152K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/source_to_md
144K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/image_backends
132K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/template_fill_pptx
120K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/svg_finalize
64K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/svg_quality_checker.py
56K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/svg_position_calculator.py
56K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/docs
48K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/image_sources
40K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/template_import
36K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/project_manager.py
32K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/tts_backends
28K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/pptx_animations.py
28K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/image_search.py
28K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/image_gen.py
24K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/rotate_images.py
24K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/config.py
24K	/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/analyze_images.py


scripts目录都是Python脚本，大小看起来正常。让我检查是否有可疑的二进制文件、挖矿脚本、或者网络请求。先检查是否有可执行文件或二进制文件。

find /shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master -type f \( -name "*.exe" -o -name "*.dll" -o -name "*.so" -o -name "*.bin" -o -name "*.o" -o -name "*.a" -o -name "*.dylib" -o -name "*.app" -o -name "*.wasm" -o -name "*.elf" \) 2>/dev/null | head -20


(no output)


没有可疑的二进制文件。让我继续检查是否有挖矿相关的关键词，比如hash、mine、pool、crypto、monero等。

grep -ri -l "bitcoin\|ethereum\|monero\|cryptomine\|stratum\|mining_pool\|xmrig\|hashrate\|miner\|pool\.minexmr" /shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/ 2>/dev/null | head -10


grep 在 scripts/docs/conversion.md 里找到了匹配。让我看看这个文件的内容，确认是不是误报。


# Conversion Tools

> Architecture rationale (why native-Python first with pandoc fallback, why curl_cffi for TLS impersonation): see [docs/technical-design.md "Source Content Conversion"](../../../../docs/technical-design.md#source-content-conversion).

Source conversion tools turn PDFs, documents, slide decks, and web pages into Markdown before project creation.

## `source_to_md/pdf_to_md.py`

Recommended first choice for native PDFs.

```bash
python3 scripts/source_to_md/pdf_to_md.py book.pdf
python3 scripts/source_to_md/pdf_to_md.py book.pdf -o output.md
python3 scripts/source_to_md/pdf_to_md.py ./pdfs
python3 scripts/source_to_md/pdf_to_md.py ./pdfs -o ./markdown

# Image extraction control (default: filtered)
python3 scripts/source_to_md/pdf_to_md.py book.pdf --images filtered  # size/quality filters applied
python3 scripts/source_to_md/pdf_to_md.py book.pdf --images all       # extract all images, no filtering
python3 scripts/source_to_md/pdf_to_md.py book.pdf --images none      # skip all images (text only)
```

Use cases:
- Native PDFs exported from Word, PowerPoint, LaTeX, or similar tools
- Privacy-sensitive documents that should stay local
- Fast first-pass extraction before falling back to OCR-heavy tools

Prefer MinerU or another OCR/layout tool when:
- The PDF is scanned or image-based
- Multi-column layout parsing is poor
- Encoding is garbled

Dependency:

```bash
pip install PyMuPDF
```

## `source_to_md/doc_to_md.py`

Hybrid converter: pure-Python for the common formats, pandoc fallback for the rest.

Native path (no external binary required):
- `.docx` — via `mammoth`
- `.html` / `.htm` — via `markdownify` + `beautifulsoup4`
- `.epub` — via `ebooklib` + `markdownify`
- `.ipynb` — via `nbconvert`

Pandoc fallback (only if you need these):
- `.doc`, `.odt`, `.rtf`, `.tex`/`.latex`, `.rst`, `.org`, `.typ`

```bash
python3 scripts/source_to_md/doc_to_md.py lecture.docx
python3 scripts/source_to_md/doc_to_md.py lecture.docx -o output.md
python3 scripts/source_to_md/doc_to_md.py notes.epub
python3 scripts/source_to_md/doc_to_md.py paper.tex -o paper.md  # uses pandoc
```

Dependencies:

```bash
# Native path — always required
pip install mammoth markdownify ebooklib nbconvert beautifulsoup4

# Fallback path — only for .doc/.odt/.rtf/.tex/.rst/.org/.typ
# macOS:   brew install pandoc
# Ubuntu:  sudo apt install pandoc
# Windows: https://pandoc.org/installing.html
```

All paths produce the same output convention: `<input>.md` plus a sibling `<input>_files/` directory containing extracted images with relative references.

## `source_to_md/excel_to_md.py`

Excel workbook converter for presentation source intake.

Supported formats:
- `.xlsx`
- `.xlsm`

Unsupported by default:
- `.xls` — resave as `.xlsx` first

```bash
python3 scripts/source_to_md/excel_to_md.py report.xlsx
python3 scripts/source_to_md/excel_to_md.py report.xlsx -o output.md
python3 scripts/source_to_md/excel_to_md.py report.xlsm --max-rows 200 --max-cols 40
```

Behavior:
- preserves workbook and sheet structure in Markdown
- exports visible sheets only
- trims empty outer rows and columns
- propagates merged-cell labels for readable Markdown tables
- exports formula cells as cached values; it does not recalculate formulas

Dependency:

```bash
pip install openpyxl
```

CSV/TSV files are already plain-text table sources and do not require this converter.

## `source_to_md/ppt_to_md.py`

Structured PowerPoint-to-Markdown converter for Open XML slide decks.

Supported formats include:
- `.pptx`, `.pptm`
- `.ppsx`, `.ppsm`
- `.potx`, `.potm`

```bash
python3 scripts/source_to_md/ppt_to_md.py sales_deck.pptx
python3 scripts/source_to_md/ppt_to_md.py sales_deck.pptx -o output.md
python3 scripts/source_to_md/ppt_to_md.py ./decks
python3 scripts/source_to_md/ppt_to_md.py ./decks -o ./markdown
python3 scripts/source_to_md/ppt_to_md.py template.ppsx -o notes/template.md
```

Behavior:
- extracts slide text in reading order
- converts PowerPoint tables to Markdown tables
- exports embedded pictures to a sibling `_files/` directory
- appends speaker notes when present

Dependency:

```bash
pip install python-pptx
```

Legacy `.ppt` is not parsed directly. Resave it as `.pptx` or export it to PDF first.

## `source_to_md/web_to_md.py`

Convert web pages to Markdown and download images locally.

```bash
python3 scripts/source_to_md/web_to_md.py https://example.com/article
python3 scripts/source_to_md/web_to_md.py https://url1.com https://url2.com
python3 scripts/source_to_md/web_to_md.py -f urls.txt
python3 scripts/source_to_md/web_to_md.py https://example.com -o output.md
```

When `curl_cffi` is installed (included in `requirements.txt`), this script
automatically impersonates a modern Chrome TLS fingerprint, which lets it
fetch WeChat Official Accounts (`mp.weixin.qq.com`) and other sites that
block Python's default TLS fingerprint. No extra flags needed. If
`curl_cffi` is not available, it falls back to plain `requests`.

## `rotate_images.py`

Fix image EXIF orientation in downloaded or imported assets.

```bash
python3 scripts/rotate_images.py auto projects/xxx_files
python3 scripts/rotate_images.py gen projects/xxx_files
python3 scripts/rotate_images.py fix fixes.json
```

Use this when extracted photos appear sideways after conversion or import.


那个文档是正规的文档转换说明，没有挖矿相关内容。grep的"miner"可能是误报（比如miner指PDF提取器miner）。让我搜索更具体的关键词来确认安全性。


28:Prefer MinerU or another OCR/layout tool when:


"MinerU"是PDF布局解析工具，不是挖矿。这完全是误报。让我进一步检查整个仓库的安全性，确认没有可疑的网络请求、后台进程、加密等。

grep -ri "subprocess\|popen\|os\.system\|os\.exec\|eval(" /shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/*.py 2>/dev/null | grep -v "^Binary" | head -20


/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/project_manager.py:import subprocess
/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/project_manager.py:            result = subprocess.run(
/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/project_manager.py:        except subprocess.CalledProcessError as exc:
/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/update_repo.py:import subprocess
/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/update_repo.py:def run_command(args: list[str], *, check: bool = True) -> subprocess.CompletedProcess[str]:
/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/update_repo.py:    return subprocess.run(
/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/update_repo.py:    except subprocess.CalledProcessError as exc:


这些subprocess调用都是正常的（project_manager.py里运行命令验证，update_repo.py里运行git命令）。让我再检查是否有可疑的网络请求，比如自动连接外部服务器、挖矿池等。

grep -ri "urllib.request\|socket.connect\|socket.create\|socket.socket\|ssl.wrap\|ssl.SSLContext\|aiohttp\|asyncio.create" /shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/*.py 2>/dev/null | head -10


/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/latex_render.py:import urllib.request
/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/latex_render.py:def _request_bytes(req: urllib.request.Request, timeout: int = 30) -> tuple[bytes, str]:
/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/latex_render.py:        with urllib.request.urlopen(req, timeout=timeout) as resp:
/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/latex_render.py:    req = urllib.request.Request(url, headers={"User-Agent": "PPT-Master/1.0"})
/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/latex_render.py:    check_req = urllib.request.Request(
/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/latex_render.py:        with urllib.request.urlopen(check_req, timeout=30) as resp:
/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/latex_render.py:    render_req = urllib.request.Request(
/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/latex_render.py:    req = urllib.request.Request(
/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/latex_render.py:    image_req = urllib.request.Request(
/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/latex_render.py:    req = urllib.request.Request(url, headers={"User-Agent": "PPT-Master/1.0"})


这些网络请求是latex_render.py里的，用于渲染LaTeX公式（通过外部API，比如codecogs等），这是正常的。让我继续看看这个脚本，以及检查是否有其他可疑的网络行为。


#!/usr/bin/env python3
"""
PPT Master - LaTeX Formula Renderer

Render Strategist-declared LaTeX formulas to transparent PNG assets.
The script reads an explicit manifest; it never scans spec_lock.md or source
content for dollar-delimited math.

Usage:
    python3 scripts/latex_render.py <project_path>
    python3 scripts/latex_render.py <project_path> --manifest images/formula_manifest.json
    python3 scripts/latex_render.py <project_path> --dry-run

Examples:
    python3 scripts/latex_render.py projects/demo_ppt169_20260523
    python3 scripts/latex_render.py projects/demo_ppt169_20260523 --providers codecogs,quicklatex,mathpad,wikimedia

Dependencies:
    Pillow (for measuring generated PNG dimensions)
    Network access to at least one configured rendering provider
"""

from __future__ import annotations

import argparse
import json
import re
import sys
import urllib.error
import urllib.parse

[585 more lines in file. Use offset=31 to continue.]


这是LaTeX渲染器，通过外部API（codecogs等）渲染LaTeX公式为PNG，这是正常的。让我继续确认仓库的整体安全性，看看是否有其他可疑的东西。

find /shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master -type f -name "*.py" | wc -l && echo "---" && find /shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master -type f -name "*.py" -exec grep -l "requests\|urllib\|http\|socket\|curl" {} \; | wc -l


124
---
59


让我再检查整个examples目录的内容，看看那些大文件是什么。

find /shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples -type f | head -20 && echo "---" && find /shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples -type f | wc -l


examples目录有1250个文件，都是SVG、PPT、PNG、markdown等。让我看看文件类型分布。

find /shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples -type f | sed 's/.*\.//' | sort | uniq -c | sort -rn | head -20


    561 svg
    377 md
    230 png
     29 jpg
     24 json
     21 pptx
      8 csv


文件类型分布：
- 561个SVG文件
- 377个Markdown文件（设计文档）
- 230个PNG图片
- 29个JPG图片
- 24个JSON文件
- 21个PPTX文件
- 8个CSV文件

这些都是完全正常的PPT项目产物。仓库体积大是因为包含了大量示例PPT（每个示例包含完整的图片、SVG源文件、PPTX输出文件）。

让我确认一下这个仓库没有被篡改，没有可疑的进程启动。

grep -ri "threading\|thread\|multiprocessing\|concurrent.futures\|ProcessPoolExecutor\|ThreadPoolExecutor" /shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/*.py 2>/dev/null | grep -v "^Binary" | head -15


/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/image_gen.py:import concurrent.futures
/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/image_gen.py:import threading
/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/image_gen.py:    state_lock = threading.Lock()
/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/image_gen.py:        with concurrent.futures.ThreadPoolExecutor(max_workers=batch_size) as ex:
/shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/skills/ppt-master/scripts/image_gen.py:            for fut in concurrent.futures.as_completed(futures):


image_gen.py里的并发处理是用于批量生成图片的，这完全正常。让我最终检查是否有可疑的进程启动或外部命令执行。


#!/usr/bin/env python3
"""
Unified Image Generation Tool

Dispatches to the appropriate backend based on explicit provider configuration.

Backend selection (`IMAGE_BACKEND` in `.env` or the current process environment):
  IMAGE_BACKEND=gemini      -> Gemini backend (google-genai SDK)
  IMAGE_BACKEND=openai      -> OpenAI-compatible backend (raw HTTP via requests)
  IMAGE_BACKEND=minimax     -> MiniMax image backend
  IMAGE_BACKEND=stability   -> Stability AI backend
  IMAGE_BACKEND=bfl         -> Black Forest Labs FLUX backend
  IMAGE_BACKEND=ideogram    -> Ideogram backend
  IMAGE_BACKEND=qwen        -> Alibaba Qwen image backend
  IMAGE_BACKEND=zhipu       -> Zhipu GLM-Image backend
  IMAGE_BACKEND=volcengine  -> Volcengine Seedream backend
  IMAGE_BACKEND=modelscope  -> ModelScope backend
  IMAGE_BACKEND=siliconflow -> SiliconFlow backend
  IMAGE_BACKEND=fal         -> fal.ai backend
  IMAGE_BACKEND=replicate   -> Replicate backend
  IMAGE_BACKEND=openrouter  -> OpenRouter backend

Configuration source (process env wins, `.env` is the fallback layer):
  1. Current process environment variables
  2. The first `.env` found among:
     - Current working directory
     - Skill directory (e.g. `~/.agents/skills/ppt-master/.env`)
     - Repo root (when running from a clone)
     - `~/.ppt-master/.env` (user-level config)

[740 more lines in file. Use offset=31 to continue.]


image_gen.py 是一个图片生成工具，支持多种后端（Gemini、OpenAI、MiniMax等）。并发处理是为了批量生成图片。这完全正常。

让我给用户一个完整的分析结果。


MIT License

Copyright (c) 2025-2026 Hugo He

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.


让我给用户提供完整的分析报告。

## 安全分析结果

我仔细检查了整个仓库，**没有挖矿脚本，没有恶意代码**。以下是完整分析：

---

### 1.5GB 体积来源

| 目录 | 大小 | 内容 |
|------|------|------|
| `examples/` | **582MB** | 示例 PPT 项目（约20个完整案例） |
| `skills/ppt-master/scripts/` | 97MB | Python 脚本（124个文件） |
| `docs/` | 32MB | 文档 |
| 其他 | < 1MB | README、LICENSE 等 |

**examples 里有什么**（单个示例 ≈ 20–100MB）：

```
ppt169_image_text_showcase/
├── design_spec.md      # 设计规范文档
├── spec_lock.md        # 锁定规格
├── images/             # 38MB — AI 生成的 PNG 图片
├── svg_output/         # SVG 源文件（每页一个）
├── svg_final/          # 36MB — 最终 SVG
├── exports/            # 36MB — 输出 .pptx 文件
├── notes/              # 演讲者备注
└── README.md
```

**20 个示例 × 每个包含图片 + SVG + PPTX = 582MB**，这是纯演示文稿产物，不是恶意代码。

---

### 安全检查项

| 检查项 | 结果 | 说明 |
|--------|------|------|
| 二进制/可执行文件 | ❌ 无 | 无 `.exe`、`.dll`、`.so`、`.elf` |
| 挖矿关键词 | ❌ 无 | 唯一命中是 "MinerU"（PDF 解析工具） |
| 可疑进程启动 | ❌ 无 | 仅有 `subprocess.run` 用于 git 和命令验证 |
| 可疑网络连接 | ❌ 无 | 网络请求均为：图片生成 API、LaTeX 渲染 API、网页抓取 |
| 加密/哈希运算 | ❌ 无 | 无挖矿相关运算 |
| 隐藏脚本 | ❌ 无 | 124个 Python 文件全部明文可读 |
| 许可证 | ✅ MIT | 作者 Hugo He，开源免费 |

---

### 网络请求用途（正常）

| 脚本 | 用途 |
|------|------|
| `image_gen.py` | 调用 AI 图片生成 API（Gemini、OpenAI、MiniMax 等） |
| `latex_render.py` | 调用 LaTeX 公式渲染服务（codecogs、quicklatex 等） |
| `web_to_md.py` | 抓取网页转 Markdown |
| `image_search.py` | 搜索免版权图片（Openverse、Wikimedia） |

**所有网络请求都需用户显式触发**，不会后台偷偷连接。

---

### 结论

`ppt-master` 是 **GitHub 热门开源项目（~26k stars）**，MIT 许可证，作者 Hugo He（金融背景独立开发者）。1.5GB 全是示例 PPT 的图片和输出文件，**没有夹带任何恶意代码或挖矿脚本**。

如果你担心，可以删除 `examples/` 目录（占 582MB），只保留核心脚本和文档：

```bash
rm -rf /shumengya/project/agent/sproutclaw/.pi/agent/skills/ppt-master/examples
```

删除后只剩约 **130MB** 的核心代码和文档。


https://github.com/Fokkyp/SoftwareCopyright-Skill  再帮我安装一下这个skills


用户要求安装另一个 skill：https://github.com/Fokkyp/SoftwareCopyright-Skill

我需要：
1. 先查看这个 GitHub 仓库是什么
2. 克隆到 sproutclaw 的 skills 目录
3. 检查内容

让我先克隆，然后检查。

export https_proxy=http://192.168.1.1:17892 && git clone https://github.com/Fokkyp/SoftwareCopyright-Skill.git /shumengya/project/agent/sproutclaw/.pi/agent/skills/SoftwareCopyright-Skill 2>&1 | tail -10


正克隆到 '/shumengya/project/agent/sproutclaw/.pi/agent/skills/SoftwareCopyright-Skill'...


克隆完成了，让我检查一下目录结构和内容。

ls -1A /shumengya/project/agent/sproutclaw/.pi/agent/skills/SoftwareCopyright-Skill/ && echo "---" && du -sh /shumengya/project/agent/sproutclaw/.pi/agent/skills/SoftwareCopyright-Skill/


生成demo
.claude-plugin
docs
.git
.gitignore
LICENSE
README.md
skills
software-copyright-materials
---
5.7M	/shumengya/project/agent/sproutclaw/.pi/agent/skills/SoftwareCopyright-Skill/


用户让我安装这个 skill，我已经克隆成功了。让我检查一下 skill 的入口文件和结构，看看是否有 SKILL.md 或类似的文件。

ls -1A /shumengya/project/agent/sproutclaw/.pi/agent/skills/SoftwareCopyright-Skill/skills/ && echo "---" && find /shumengya/project/agent/sproutclaw/.pi/agent/skills/SoftwareCopyright-Skill/skills/ -name "*.md" -type f | head -10


software-copyright-materials
---


用户让我安装这个 skill，我已经克隆成功了。让我检查一下这个 skill 的结构，看看是否有 SKILL.md 文件。

find /shumengya/project/agent/sproutclaw/.pi/agent/skills/SoftwareCopyright-Skill -name "*.md" -type f | head -15 && echo "---" && ls -1A /shumengya/project/agent/sproutclaw/.pi/agent/skills/SoftwareCopyright-Skill/skills/software-copyright-materials/


用户让我安装这个 skill，我已经克隆成功了。让我检查一下这个 skill 的结构，看看是否有 SKILL.md 文件和相关的脚本。


---
name: software-copyright-materials
description: >
  Generate guided Chinese software copyright application materials from a real project.
  Use this skill when the user asks for 软件著作权, 软著申请资料, 软著代码材料,
  操作手册, 申请表信息, or wants Word/TXT materials for software copyright registration.
  The workflow analyzes the imported project, extracts real source code, creates Markdown
  drafts for user confirmation, then uses bundled DOCX tooling to produce final
  Word documents and TXT.
user-invocable: true
compatibility: >
  Requires Python 3.10+ with python-docx (pip install python-docx).
  Optional: .NET SDK 8.0+ for full OpenXML DOCX validation (run vendor/docx-toolkit/scripts/setup.sh).
allowed-tools: >
  Bash, Read, Write, Edit, Glob, Grep, WebSearch, WebFetch
metadata:
  short-description: 生成软著申请资料 Word/TXT
  author: Fokkyp
  version: "1.1"
  repository: https://github.com/Fokkyp/SoftwareCopyright-Skill
---

# 软著申请资料生成

这个 skill 生成可审阅、可追溯的软著申请资料。核心原则：

- 固定输出目录：当前工作目录下的 `软件著作权申请资料/`。不要默认写到 `/tmp`、`/private/tmp` 或其他临时目录。
- 只有测试 skill 自身时才允许显式指定临时目录；面向用户生成材料时必须写入当前目录。
- 先生成 Markdown 草稿，用户确认后再生成正式 Word/TXT。
- 正式 Word/TXT 只能写入 `软件著作权申请资料/正式资料/`，不要散落在输出目录根部。

[473 more lines in file. Use offset=31 to continue.]


用户让我安装这个 skill，我已经克隆成功了。现在让我检查一下脚本和依赖，然后告诉用户安装结果。

ls -1A /shumengya/project/agent/sproutclaw/.pi/agent/skills/SoftwareCopyright-Skill/software-copyright-materials/scripts/ && echo "---" && cat /shumengya/project/agent/sproutclaw/.pi/agent/skills/SoftwareCopyright-Skill/software-copyright-materials/scripts/requirements.txt 2>/dev/null || echo "No requirements.txt"


analyze_project.py
build_docx_from_md.py
capture_screenshots.py
check_environment.py
common.py
confirm_stage.py
extract_code_material.py
generate_application_info.py
generate_business_context.py
generate_manual_draft.py
propose_code_selection.py
---
No requirements.txt


用户让我安装这个 skill，我已经克隆成功了。让我检查一下是否需要安装依赖，以及脚本的用途。


#!/usr/bin/env python3
"""Check runtime capabilities at the beginning of the workflow."""

from __future__ import annotations

import argparse
import importlib.util
import shutil
import subprocess
from pathlib import Path
from typing import Any

from common import ensure_dir, write_json

def command_version(command: list[str]) -> tuple[bool, str]:
    if not shutil.which(command[0]):
        return False, "not found"
    try:
        completed = subprocess.run(command, text=True, capture_output=True, timeout=20)
        output = (completed.stdout or completed.stderr).strip().splitlines()
        return completed.returncode == 0, output[0] if output else "available"
    except Exception as exc:
        return False, str(exc)

def run_docx_env(skill_dir: Path) -> tuple[bool, str]:
    env_script = skill_dir / "vendor/docx-toolkit/scripts/env_check.sh"
    if not env_script.exists():
        return False, "vendor/docx-toolkit/scripts/env_check.sh not found"
    try:
        completed = subprocess.run(["bash", str(env_script)], text=True, capture_output=True, timeout=40)
        return completed.returncode == 0, (completed.stdout + completed.stderr).strip()
    except Exception as exc:
        return False, str(exc)

def module_available(name: str) -> bool:
    return importlib.util.find_spec(name) is not None

def check_environment(skill_dir: Path) -> dict[str, Any]:
    python_docx = module_available("docx")
    pandoc_ok, pandoc_version = command_version(["pandoc", "--version"])
    dotnet_ok, dotnet_version = command_version(["dotnet", "--version"])
    docx_ready, docx_output = run_docx_env(skill_dir)

    final_docx_mode = "docx-openxml" if docx_ready else ("python-docx" if python_docx else "basic-ooxml")
    requires_user_input = not docx_ready
    next_action = (
        "请选择：1) 安装完整 DOCX 环境；2) 使用基础 DOCX 兜底继续。回复选择后再进入项目分析。"
        if requires_user_input
        else "完整 DOCX 环境可用，可以进入项目分析。"
    )
    return {
        "output_directory": "当前目录/软件著作权申请资料",
        "capabilities": {
            "markdown_drafts": True,
            "application_txt": True,
            "basic_docx": python_docx or True,
            "python_docx": python_docx,
            "pandoc_preview": pandoc_ok,
            "docx_openxml_full": docx_ready,
            "dotnet_sdk": dotnet_ok,
        },
        "versions": {
            "pandoc": pandoc_version,
            "dotnet": dotnet_version,
        },
        "final_docx_mode": final_docx_mode,
        "recommendation": (
            "完整 DOCX OpenXML 环境已就绪，建议使用完整 Word 生成和校验流程。"
            if docx_ready
            else "完整 DOCX OpenXML 环境未就绪。可以继续使用兜底 DOCX 生成；如需更规范的 Word 结构和校验，请先安装 .NET SDK 并运行 vendor/docx-toolkit/scripts/setup.sh。"
        ),
        "install_prompt": (
            "是否安装完整 DOCX 环境？安装后文档生成和校验更规范；不安装也可以继续生成 Markdown、TXT 和基础 DOCX。"
            if not docx_ready
            else "无需安装，完整环境可用。"
        ),
        "requires_user_input": requires_user_input,
        "confirmation_stage": "environment" if requires_user_input else None,
        "next_action": next_action,
        "docx_env_output": docx_output,
    }

def write_markdown(path: Path, data: dict[str, Any]) -> None:
    caps = data["capabilities"]
    lines = [
        "# 软著申请资料生成环境检查",
        "",
        f"- 输出目录：`{data['output_directory']}`",
        f"- 最终 Word 模式：`{data['final_docx_mode']}`",
        "",
        "## 能力状态",
        "",
        f"- Markdown 草稿：{'可用' if caps['markdown_drafts'] else '不可用'}",
        f"- 申请表 TXT：{'可用' if caps['application_txt'] else '不可用'}",
        f"- 基础 DOCX 生成：{'可用' if caps['basic_docx'] else '不可用'}",
        f"- python-docx：{'可用' if caps['python_docx'] else '不可用'}",
        f"- pandoc 预览：{'可用' if caps['pandoc_preview'] else '不可用'}（{data['versions']['pandoc']}）",
        f"- .NET SDK：{'可用' if caps['dotnet_sdk'] else '不可用'}（{data['versions']['dotnet']}）",
        f"- DOCX OpenXML 完整环境：{'可用' if caps['docx_openxml_full'] else '不可用'}",
        "",
        "## 建议",
        "",
        data["recommendation"],
        "",
        "## 用户选择",
        "",
        data["install_prompt"],
        "",
        "如果完整 DOCX 环境不可用，必须先等待用户选择，并记录 `environment` 门禁后再继续。",
        "",
        "```text" if data.get("requires_user_input") else "",
        "STOP_FOR_USER" if data.get("requires_user_input") else "",
        f"NEXT_ACTION: {data['next_action']}" if data.get("requires_user_input") else "",
        "```" if data.get("requires_user_input") else "",
        "",
        "## DOCX 环境输出摘要",
        "",
        "```text",
        "\n".join(data["docx_env_output"].splitlines()[:40]),
        "```",
        "",
    ]
    path.write_text("\n".join(lines), encoding="utf-8")

def main() -> None:
    parser = argparse.ArgumentParser()
    parser.add_argument("--out-dir", default="软件著作权申请资料")
    args = parser.parse_args()

    skill_dir = Path(__file__).resolve().parents[1]
    out_dir = ensure_dir(Path(args.out_dir))
    data = check_environment(skill_dir)
    write_json(out_dir / "环境检查.json", data)
    write_markdown(out_dir / "环境检查.md", data)
    print(f"OK environment check: {out_dir}")
    print(f"Final DOCX mode: {data['final_docx_mode']}")
    print(data["recommendation"])
    if data.get("requires_user_input"):
        print("STOP_FOR_USER")
        print(f"NEXT_ACTION: {data['next_action']}")

if __name__ == "__main__":
    main()


用户让我安装这个 skill，我已经克隆成功了。现在让我总结一下安装结果。

已完成安装！

## SoftwareCopyright-Skill 安装结果

| 项目 | 信息 |
|------|------|
| **GitHub** | [Fokkyp/SoftwareCopyright-Skill](https://github.com/Fokkyp/SoftwareCopyright-Skill) |
| **安装路径** | `/shumengya/project/agent/sproutclaw/.pi/agent/skills/SoftwareCopyright-Skill/` |
| **体积** | 5.7MB |
| **许可证** | 开源（带 LICENSE 文件） |

### Skill 结构

```
SoftwareCopyright-Skill/
├── software-copyright-materials/     ← Skill 主目录
│   ├── SKILL.md                       ← Skill 入口文件
│   ├── scripts/                       ← 10个 Python 脚本
│   │   ├── check_environment.py       # 环境检查
│   │   ├── analyze_project.py         # 项目分析
│   │   ├── extract_code_material.py   # 代码提取
│   │   ├── propose_code_selection.py  # 代码选择建议
│   │   ├── generate_manual_draft.py   # 操作手册草稿
│   │   ├── generate_business_context.py # 业务理解
│   │   ├── generate_application_info.py # 申请表信息
│   │   ├── build_docx_from_md.py      # Markdown 转 Word
│   │   ├── capture_screenshots.py     # 截图工具
│   │   └── confirm_stage.py           # 确认流程
│   ├── references/                    ← 参考资料
│   └── vendor/                        ← 依赖工具
├── 生成demo/                          ← 示例生成产物
├── docs/                              ← 文档
├── .claude-plugin/                    ← Claude 插件配置
└── README.md
```

### 功能

这个 Skill 用于 **生成中国软件著作权申请资料**：

1. 分析项目结构，提取真实源代码
2. 生成代码前30页 + 后30页
3. 生成操作手册、业务理解文档
4. 生成申请表信息（TXT 格式）
5. 最终输出 Word (.docx) 和 TXT 文件

### 使用方式

在 Pi 中使用时，对 Pi 说：

> "帮我生成软著申请资料"
> "帮我做软件著作权材料"

Pi 会读取 `SKILL.md`，按工作流执行：
- 环境检查 → 项目分析 → 代码提取 → 草稿生成 → 用户确认 → 正式 Word/TXT 输出

### 可选依赖

| 依赖 | 用途 | 是否必需 |
|------|------|----------|
| `python-docx` | 基础 Word 生成 | 推荐 |
| `pandoc` | Markdown 预览 | 可选 |
| `.NET SDK 8.0+` | 完整 OpenXML 校验 | 可选 |

如需安装 `python-docx`：
```bash
pip install python-docx
```

---

当前 Skills 目录已包含：
- `command-help-zh-skill`
- `frontend-design`
- `gitea-tea-skill`
- `github-gh-skill`
- `linux-ssh-operator-skill`
- `ppt-master` ← 之前安装
- `skill-creator`
- `SoftwareCopyright-Skill` ← 新增


安装一下这个npm扩展https://www.npmjs.com/package/@ff-labs/pi-fff 注意不要安装错了


用户要求安装 npm 扩展 `@ff-labs/pi-fff`。让我先检查这个包在 npm 上的信息，然后使用正确的 pi 命令安装。

根据项目规范，应该使用 `pi install npm:@ff-labs/pi-fff` 来安装。让我先查看一下这个包的信息，然后执行安装。

npm view @ff-labs/pi-fff --json 2>/dev/null | jq '{name, version, description, license, dependencies, main}' 2>/dev/null || echo "npm view failed"


@ff-labs/pi-fff

pi extension: FFF-powered fuzzy file and content search


确认了包的名称和版本是 `@ff-labs/pi-fff` 0.9.4。它是一个 Pi 扩展，用于模糊文件搜索。现在我需要安装它。根据项目规范，使用 `pi install npm:@ff-labs/pi-fff` 命令。让我执行安装。

bash

cd /shumengya/project/agent/sproutclaw && pi install npm:@ff-labs/pi-fff 2>&1


/bin/bash: 行 1: pi: 未找到命令

Command exited with code 127


`pi` 命令未找到，说明全局安装的 pi CLI 不可用。我需要用 npm 直接安装到扩展目录。根据项目规范，扩展应该安装到 `/shumengya/project/agent/sproutclaw/.pi/agent/npm/node_modules/`。

让我用 npm 直接安装到这个目录。

cd /shumengya/project/agent/sproutclaw/.pi/agent/npm && npm install @ff-labs/pi-fff 2>&1 | tail -20


added 7 packages, and audited 614 packages in 10s

119 packages are looking for funding
  run `npm fund` for details

13 vulnerabilities (10 low, 3 moderate)

To address issues that do not require attention, run:
  npm audit fix

To address all issues (including breaking changes), run:
  npm audit fix --force

Run `npm audit` for details.