菜单
Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, presentations; reading, parsing, or extracting text from .pptx files; editing, modifying presentations; combining or splitting slide files.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | pptx |
| description | Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, presentations; reading, parsing, or extracting text from .pptx files; editing, modifying presentations; combining or splitting slide files. |
| Task | Guide |
|---|---|
| Read/analyze content | python -m markitdown presentation.pptx |
| Edit or create from template | Read editing.md |
| Create from scratch | Read pptxgenjs.md |
python -m markitdown presentation.pptx
python scripts/thumbnail.py presentation.pptx
pip install "markitdown[pptx]"pip install Pillownpm install -g pptxgenjs深度功能分析，以问题驱动的方式深入挖掘某个功能/机制的实现原理，生成单篇深度解析文档。参考 skill-creation-mechanism.md 的分析风格：从核心问题出发，层层深入，多维度对比，最后给出总结。适用于"深入分析 X 的原理"、"深度解析 Y 机制的实现"、"理解 Z 功能的设计决策"等场景。
在评审技术设计文档、实现计划、迁移方案、架构规格、发布与上线计划、插件或 hook 设计、以及需要工程师或代理按文档可靠执行的安全敏感自动化方案时使用；也适用于用户说评审技术方案、审设计文档、看实现计划、方案可不可行等场景。
Build and maintain a personal knowledge base where an LLM incrementally builds and maintains a structured, interlinked collection of markdown files. Based on Andrej Karpathy's LLM Wiki pattern.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Use when building TypeScript SDKs, extracting shared code into packages, creating developer tooling libraries, designing clean API surfaces, or publishing to npm (public or private). Covers typed clients, error handling, multi-target bundling (ESM/CJS/browser).
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.