技能寻求者 是 AI Skill Hub 本期精选MCP工具之一。在 GitHub 上收获超过 13.5k 颗 Star,综合评分 8.2 分,整体质量较高。我们强烈推荐将其纳入你的 AI 工具库,帮助提升工作效率。
技能寻求者 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
技能寻求者 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/yusufkaraaslan/Skill_Seekers
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"-----": {
"command": "npx",
"args": ["-y", "skill_seekers"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 技能寻求者 执行以下任务... Claude: [自动调用 技能寻求者 MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入:"列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"_____": {
"command": "npx",
"args": ["-y", "skill_seekers"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
<p align="center"> <img src="docs/assets/logo.png" alt="Skill Seekers" width="200"/> </p>
skill-seekers analyze --directory tests/ --quick
skill-seekers analyze --directory tests/ --comprehensive
Skill Seekers supports 12 LLM platforms, 8 RAG/vector targets, 18 source types, and full feature parity across all targets.
Platforms: Claude AI, Google Gemini, OpenAI ChatGPT, MiniMax AI, Generic Markdown, OpenCode, Kimi (Moonshot AI), DeepSeek AI, Qwen (Alibaba), OpenRouter, Together AI, Fireworks AI Source Types: Documentation websites, GitHub repos, PDFs, Word (.docx), EPUB, Video, Local codebases, Jupyter Notebooks, Local HTML, OpenAPI/Swagger, AsciiDoc, PowerPoint (.pptx), RSS/Atom feeds, Man pages, Confluence wikis, Notion pages, Slack/Discord chat exports
See Complete Feature Matrix for detailed platform and feature support.
skill-seekers pdf --pdf docs/manual.pdf --name myskill \ --extract-tables \ # Extract tables --parallel \ # Fast parallel processing --workers 8 # Use 8 CPU cores
skill-seekers video --url https://www.youtube.com/watch?v=... --name mytutorial
skill-seekers video --url https://www.youtube.com/watch?v=... --name mytutorial --visual
skill-seekers video --url https://www.youtube.com/watch?v=... --visual --vision-ocr
Before you start, make sure you have:
python3 --versiongit --versionFirst time user? → Start Here: Bulletproof Quick Start Guide 🎯
---
pip install skill-seekers
skill-seekers video --setup
security-focus, architecture-comprehensive, or custom YAML presetsDocuments, LlamaIndex TextNodes, Haystack Documentspip install skill-seekers[gemini]
pip install skill-seekers[openai]
pip install skill-seekers[minimax]
pip install skill-seekers[all-llms] ```
cp -r output/skill-seekers ~/.claude/skills/ ```
What you get: - ✅ Complete skill documentation - All CLI commands and usage patterns - ✅ CLI command reference - Every tool and its options documented - ✅ Quick start examples - Common workflows and best practices - ✅ Auto-generated API docs - Code analysis, patterns, and examples
```bash
pip install skill-seekers
| Install | Features |
|---|---|
pip install skill-seekers | Scraping, GitHub analysis, PDF, all platforms |
pip install skill-seekers[gemini] | + Google Gemini support |
pip install skill-seekers[openai] | + OpenAI ChatGPT support |
pip install skill-seekers[all-llms] | + All LLM platforms |
pip install skill-seekers[mcp] | + MCP server for Claude Code, Cursor, etc. |
pip install skill-seekers[video] | + YouTube/Vimeo transcript & metadata extraction |
pip install skill-seekers[video-full] | + Whisper transcription & visual frame extraction |
pip install skill-seekers[jupyter] | + Jupyter Notebook support |
pip install skill-seekers[pptx] | + PowerPoint support |
pip install skill-seekers[confluence] | + Confluence wiki support |
pip install skill-seekers[notion] | + Notion pages support |
pip install skill-seekers[rss] | + RSS/Atom feed support |
pip install skill-seekers[chat] | + Slack/Discord chat export support |
pip install skill-seekers[asciidoc] | + AsciiDoc document support |
pip install skill-seekers[all] | Everything enabled |
Video visual deps (GPU-aware): After installingskill-seekers[video-full], runskill-seekers video --setupto auto-detect your GPU and install the correct PyTorch variant + easyocr. This is the recommended way to install visual extraction dependencies.
---
The fastest way to go from config to uploaded skill - complete automation:
```bash
skill-seekers install --config react
skill-seekers install --config configs/custom.json
skill-seekers install --config django --no-upload
skill-seekers pdf --pdf docs/scanned.pdf --name myskill --ocr ```
pip install skill-seekers[video] # Transcripts + metadata pip install skill-seekers[video-full] # + Whisper + visual frame extraction
skill-seekers video --setup
skill-seekers video --from-json output/mytutorial/video_data/extracted_data.json --name mytutorial ```
Full guide: See docs/VIDEO_GUIDE.md for complete CLI reference, visual pipeline details, AI enhancement options, and troubleshooting.
Skill Seekers can automatically install skills to 19 AI coding agents.
```bash
skill-seekers install-agent output/react/ --agent cursor
skill-seekers install-agent output/react/ --agent bob
skill-seekers install-agent output/react/ --agent all
skill-seekers install-agent output/react/ --agent cursor --dry-run ```
```bash
cp output/django-claude/SKILL.md my-project/.cursorrules
---
export ANTHROPIC_API_KEY=sk-ant-...
export ANTHROPIC_API_KEY=your-glm-47-api-key export ANTHROPIC_BASE_URL=https://glm-4-7-endpoint.com/v1
skill-seekers enhance output/react/ skill-seekers analyze --directory . --enhance
**Note**: Setting `ANTHROPIC_BASE_URL` allows you to use any Claude-compatible API endpoint, such as GLM-4.7 (智谱 AI) or other compatible services.
</details>
**Installation:**bash
```
Integration Hub: All AI System Integrations
---
~/.config/skill-seekers/config.json (600 permissions)prompt, wait, switch, fail--non-interactive flag fails fast without prompts--profile flag to select specific GitHub accountQuick Setup: ```bash
skill-seekers config --github
skill-seekers scrape --url https://react.dev --name react
skill-seekers unified --config configs/react_unified.json skill-seekers unified --config configs/django_unified.json
cat > configs/myframework_unified.json << 'EOF' { "name": "myframework", "merge_mode": "rule-based", "sources": [ { "type": "documentation", "base_url": "https://docs.myframework.com/", "max_pages": 200 }, { "type": "github", "repo": "owner/myframework", "code_analysis_depth": "surface" } ] } EOF
skill-seekers unified --config configs/myframework_unified.json ```
Conflict Detection automatically finds: - 🔴 Missing in code (high): Documented but not implemented - 🟡 Missing in docs (medium): Implemented but not documented - ⚠️ Signature mismatch: Different parameters/types - ℹ️ Description mismatch: Different explanations
Full Guide: See docs/UNIFIED_SCRAPING.md for complete documentation.
Share custom configs across teams using private git repositories:
```bash
fetch_config(source="team", config_name="internal-api") ```
Supported Platforms: - GitHub (GITHUB_TOKEN), GitLab (GITLAB_TOKEN), Gitea (GITEA_TOKEN), Bitbucket (BITBUCKET_TOKEN)
Full Guide: See docs/GIT_CONFIG_SOURCES.md for complete documentation.
```bash
```bash
In Claude Code, just ask:
"Package and upload the React skill"
---
./setup_mcp.sh ```
All 26 tools available: - Core (9): list_configs, generate_config, validate_config, estimate_pages, scrape_docs, package_skill, upload_skill, enhance_skill, install_skill - Extended (10): scrape_github, scrape_pdf, unified_scrape, merge_sources, detect_conflicts, add_config_source, fetch_config, list_config_sources, remove_config_source, split_config - Vector DB (4): export_to_chroma, export_to_weaviate, export_to_faiss, export_to_qdrant - Cloud (3): cloud_upload, cloud_download, cloud_list
Full Guide: docs/MCP_SETUP.md
---
```bash
skill-seekers scrape --interactive
cp configs/react.json configs/myframework.json nano configs/myframework.json skill-seekers scrape --config configs/myframework.json ```
{
"name": "myframework",
"description": "When to use this skill",
"base_url": "https://docs.myframework.com/",
"selectors": {
"main_content": "article",
"title": "h1",
"code_blocks": "pre code"
},
"url_patterns": {
"include": ["/docs", "/guide"],
"exclude": ["/blog", "/about"]
},
"categories": {
"getting_started": ["intro", "quickstart"],
"api": ["api", "reference"]
},
"rate_limit": 0.5,
"max_pages": 500
}
The tool searches in this order: 1. Exact path as provided 2. ./configs/ (current directory) 3. ~/.config/skill-seekers/configs/ (user config directory) 4. SkillSeekersWeb.com API (preset configs)
---
skill-seekers config --github ```
---
skill-seekers create openapi.yaml
```
Complete RAG Pipeline Guide: RAG Pipelines Documentation
---
```bash
skill-seekers github --repo facebook/react
Combine documentation + GitHub + PDF into one unified skill with conflict detection:
```bash
export ANTHROPIC_API_KEY=sk-ant-...
echo $ANTHROPIC_API_KEY
skill-seekers enhance output/react/ --mode LOCAL
skill-seekers package output/django --target claude
**That's it!** You now have `output/django-claude.zip` ready to use.
bash
skill-seekers create page.html
for platform in claude gemini openai langchain; do skill-seekers package output/django --target $platform done ```
Document format with page_content + metadataTextNode format with unique IDs + embeddingsQuick Export: ```bash
Transform any framework documentation into expert coding context for 4+ AI assistants:
.cursorrules for AI-powered code suggestions.windsurfrulesQuick Export for AI Coding Tools: ```bash
Reusable YAML-defined enhancement pipelines that control how AI transforms your raw documentation into a polished skill.
default, minimal, security-focus, architecture-comprehensive, api-documentation~/.config/skill-seekers/workflows/```bash
skill-seekers create ./my-project --enhance-workflow security-focus
skill-seekers create ./my-project \ --enhance-workflow security-focus \ --enhance-workflow minimal
skill-seekers install --config react --dry-run
**Time:** 20-45 minutes total | **Quality:** Production-ready (9/10) | **Cost:** Free
**Phases executed:** 📥 PHASE 1: Fetch Config (if config name provided) 📖 PHASE 2: Scrape Documentation ✨ PHASE 3: AI Enhancement (MANDATORY - no skip option) 📦 PHASE 4: Package Skill ☁️ PHASE 5: Upload to Claude (optional, requires API key) ```
Requirements: - ANTHROPIC_API_KEY environment variable (for auto-upload) - Claude Code Max plan (for local AI enhancement), or use --agent to select a different AI agent
---
skill-seekers package output/react/ --upload
skill-seekers package output/react/
Skill Seekers ships an MCP server for use from Claude Code, Cursor, Windsurf, VS Code + Cline, or IntelliJ IDEA.
```bash
| Feature | Claude | Gemini | OpenAI | MiniMax | Markdown |
|---|---|---|---|---|---|
| Format | ZIP + YAML | tar.gz | ZIP + Vector | ZIP + Knowledge | ZIP |
| Upload | ✅ API | ✅ API | ✅ API | ✅ API | ❌ Manual |
| Enhancement | ✅ Sonnet 4 | ✅ 2.0 Flash | ✅ GPT-4o | ✅ M2.7 | ❌ None |
| All Skill Modes | ✅ | ✅ | ✅ | ✅ | ✅ |
---
python -m skill_seekers.mcp.server_fastmcp
export GITHUB_TOKEN=ghp_your_token_here
Skill Seekers 是一个用于分析和增强技能的工具,旨在帮助开发者快速分析和优化技能。它提供了多种功能,包括快速分析、全面分析、视频分析等。
Skill Seekers 的主要功能包括快速分析(1-2 分钟)、全面分析(20-60 分钟)、视频分析(支持 YouTube、Vimeo 和本地文件)等。它还支持视觉框架分析和视觉 OCR 框架分析等高级功能。
Skill Seekers 的环境依赖包括 Python、pip、Docker 等。它还需要一些额外的依赖,包括 GPU-aware visual deps 和 Anthropic API 等。
Skill Seekers 的安装步骤包括使用 pip 安装,或者使用 Docker 部署。第一次安装时,可以使用 `skill-seekers video --setup` 命令来自动安装 GPU-aware visual deps。
Skill Seekers 的使用教程包括快速启动(3 个命令)、使用示例等。它还支持多种平台,包括 Claude、Gemini、OpenAI 等。
Skill Seekers 的配置说明包括设置 Anthropic API 密钥、设置 Claude-compatible API 等。它还支持使用环境变量来配置参数。
Skill Seekers 的 API/接口说明包括 OpenAPI spec、智能 SPA 发现、文档抓取等功能。它还支持多种文档来源,包括 GitHub、PDF 等。
Skill Seekers 的工作流/模块说明包括包装技能、创建 OpenAPI spec、智能 SPA 发现等功能。它还支持多种平台,包括 Claude、Gemini、OpenAI 等。
Skill Seekers 的 FAQ 摘要包括常见问题、解决方案等。它还提供了多种资源,包括文档、社区支持等。
实用的文档自动化工具,通过AST解析提高转换质量。社区活跃,13.5k星体现好评度,是构建AI知识库的优选方案。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
经综合评估,技能寻求者 在MCP工具赛道中表现稳健,质量优秀。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。
| 原始名称 | Skill_Seekers |
| 原始描述 | 开源MCP工具:Convert documentation websites, GitHub repositories, and PDFs into Claude AI ski。⭐13.5k · Python |
| Topics | 文档转换AI技能自动化Claude集成开源工具 |
| GitHub | https://github.com/yusufkaraaslan/Skill_Seekers |
| License | MIT |
| 语言 | Python |
收录时间:2026-05-13 · 更新时间:2026-05-16 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端