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Skill Seekers 文档

翻译状态:截至本分支,docs/zh-CN/ 已完成全部文档树的简体中文翻译。如有疑义,以父目录 docs/ 中的英文文档为准(英文为权威版本)。

Skill Seekers v3.7.0 完整文档


欢迎!

这里是 Skill Seekers 的官方文档 —— 一款通用工具,可将 18 种来源类型(文档站点、GitHub 仓库、PDF、视频、Word 文档、EPUB 电子书、Jupyter 笔记本、本地 HTML、OpenAPI 规范、AsciiDoc、PowerPoint、RSS/Atom 订阅、man 手册页、Confluence、Notion、Slack/Discord 以及本地代码库)转换为面向 21+ 平台的 AI 就绪技能。


我应该从哪里开始?

🚀 我是新手

从我们的入门指南开始:

  1. 安装 - 安装 Skill Seekers
  2. 快速开始 - 用 3 条命令创建你的第一个技能
  3. 你的第一个技能 - 完整演练
  4. 下一步 - 接下来该做什么
  5. 扫描项目 - 从代码库引导生成配置

📖 我想深入学习

探索我们的用户指南

📚 我需要查阅参考

查找具体信息:

🚀 我准备好进阶了

高级用户功能:


快速参考

3 条命令

# 1. Install
pip install skill-seekers

# 2. Create skill
skill-seekers create https://docs.django.com/

# 3. Package for Claude
skill-seekers package output/django --target claude

常用命令

# Create from any source (auto-detects type)
skill-seekers create https://docs.django.com/
skill-seekers create facebook/react
skill-seekers create manual.pdf
skill-seekers create notebook.ipynb

# Scan a project for tech stack — emits one config per framework
skill-seekers scan ./my-react-app --out ./configs/scanned/

# Enhance skill
skill-seekers enhance output/my-skill/

# Package for platform
skill-seekers package output/my-skill/ --target claude

# Upload
skill-seekers upload output/my-skill-claude.zip

# Install complete workflow
skill-seekers install --config react --target claude

# Doctor / diagnostics
skill-seekers doctor

文档结构

docs/
├── README.md                 # This file - start here
├── ARCHITECTURE.md          # How docs are organized
├── UML_ARCHITECTURE.md      # Software architecture (UML diagrams)
├── UNIFICATION_PLAN.md      # Grand Unification refactor plan + phase results
├── BUG_AUDIT.md             # Full-codebase bug audit (historical record)
│
├── getting-started/         # For new users
│   ├── 01-installation.md
│   ├── 02-quick-start.md
│   ├── 03-your-first-skill.md
│   ├── 04-next-steps.md
│   └── 05-scan-a-project.md
│
├── user-guide/              # Common tasks
│   ├── 01-core-concepts.md
│   ├── 02-scraping.md
│   ├── 03-enhancement.md
│   ├── 04-packaging.md
│   ├── 05-workflows.md
│   └── 06-troubleshooting.md
│
├── guides/                  # How-to guides
│   ├── MCP_SETUP.md
│   ├── MIGRATION_GUIDE.md
│   ├── TESTING_GUIDE.md
│   └── UPLOAD_GUIDE.md
│
├── integrations/            # Platform integrations
│   ├── LANGCHAIN.md
│   ├── LLAMA_INDEX.md
│   ├── CURSOR.md
│   └── ...
│
├── features/                # Feature deep-dives
│   ├── BOOTSTRAP_SKILL.md
│   ├── UNIFIED_SCRAPING.md
│   └── ENHANCEMENT.md
│
├── reference/               # Technical reference
│   ├── CLI_REFERENCE.md     # 19 commands
│   ├── MCP_REFERENCE.md     # 40 MCP tools
│   ├── CONFIG_FORMAT.md     # JSON spec
│   └── ENVIRONMENT_VARIABLES.md
│
├── advanced/                # Power user topics
│   ├── mcp-server.md
│   ├── custom-workflows.md
│   └── multi-source.md
│
├── archive/                 # Legacy docs
├── blog/                    # Blog posts
├── case-studies/            # Case studies
├── plans/                   # Feature plans
├── roadmap/                 # Roadmap
├── strategy/                # Strategy docs
└── zh-CN/                   # Chinese translations

按使用场景

我想构建 AI 技能

面向 Claude、Gemini、ChatGPT

  1. 快速开始
  2. 增强指南
  3. 工作流指南

我想构建 RAG 流水线

面向 LangChain、LlamaIndex、向量数据库:

  1. 核心概念
  2. 打包指南
  3. MCP 参考

我想要 AI 编程辅助

面向 Cursor、Windsurf、Cline、Roo、Aider、Bolt、Kilo、Continue、Kimi Code

  1. 你的第一个技能
  2. 本地代码库分析
  3. skill-seekers install-agent --agent cursor

版本信息

  • 当前版本: 3.7.0
  • 最后更新: 2026-06-11
  • 来源类型: 18
  • Python 要求: 3.10+

参与文档贡献

发现问题?想改进文档?

  1. 编辑 docs/ 目录中的文件
  2. 遵循现有结构
  3. 提交 PR

详见贡献指南


外部链接


许可证

MIT 许可证 - 见 LICENSE 文件。


祝你构建技能愉快!🚀