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Skill_Seekers

Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection

yusufkaraaslanyusufkaraaslan
93/ 100

公开评测 · 综合采用结论

证据充分,整体质量与安全表现优秀

查看评测依据 评测我的项目基于公开项目证据,非安全认证或安装推荐
15.1kstars
1.5kforks
最近更新 10天前
评测生成时间(北京时间)
本报告引擎
v3.10.0
当前引擎
v3.16.0

本报告与当前引擎使用不同规则;原分数不会自动更新,不同版本的分数不宜直接对比。

重新评测此项目

进入后确认来源与额度,提交才会创建任务。

Evaluation report

综合采用结论

93
A+
满分 100
值得推荐低风险
决策摘要

证据充分,整体质量与安全表现优秀

100%
高置信度
100
文档
100
安全
88
质量
100
活跃
70
采用
  • 基础评测完成+25/25确定性评分与静态安全扫描已完成
  • README 有效证据+25/2518,382 个去重后的有效字符
  • 独立证据来源+20/205 类非重复证据,重复文件不叠加
  • 仓库元数据+10/10已取得仓库状态与采用数据
  • 活跃记录+5/5已取得最近提交时间
  • AI 复核+15/15已完成结构化 AI 证据复核
How it works · 流程图

Skill Seekers 工作流程

README中的'How it works'部分展示了从文档网站到AI技能zip的连续步骤,包括抓取、分类、增强、打包和上传。

AI 提取 · 证据约束

左右滑动查看完整图示

Skill Seekers 工作流程README中的'How it works'部分展示了从文档网站到AI技能zip的连续步骤,包括抓取、分类、增强、打包和上传。抓取分类后增强后打包文档网站输入抓取器处理AI增强处理打包器处理AI技能zip输出
图示依据
  • • How it works: 1. Scrape, 2. Categorize, 3. Enhance, 4. Package, 5. Upload
  • • Mermaid图显示Documentation Website -> Skill Seekers -> Scraper, AI Enhancement, Packager -> AI Skill .zip
五维表现
该工具将文档、仓库、PDF等18种来源转化为AI技能,支持22种导出目标,价值明确且示例丰富。最大缺口是设计细节(如权限、错误处理)在README中证据不足,需查阅文档。
质量证据
  • Quick Start: pip install skill-seekers; skill-seekers create https://docs.djangoproject.com/
  • All 18 source types: 列出GitHub、PDF、Word等命令
  • Export targets (22): 列出claude、langchain等目标
  • MCP Integration: python -m skill_seekers.mcp.server_fastmcp
  • Troubleshooting: skill-seekers doctor
采用建议
优势
  • 问题与用途描述
  • 有效 README
  • 安装或接入步骤
  • 可执行示例
  • 未发现已知高风险模式
关注点
  • 设计细节如权限、数据边界在README中未充分展示
  • 错误处理仅提及重试和4xx快速失败,具体机制不明确
  • 安全默认值如CORS配置仅在更新日志中提及
  • 部分功能如视频提取需要额外依赖,但未说明具体限制
适合

需要将多种文档源转换为AI技能的用户、希望将技能部署到多个AI代理的开发者、需要RAG管道数据准备的团队、需要自动化文档处理的CI/CD流程

不建议直接用于

对安全细节有严格要求的用户,因为README未提供完整安全设计、需要离线或本地处理且无AI API的用户,因为增强功能依赖AI

也有自己的公开项目?先看完证据,再用当前规则生成独立报告。

评测我的项目 →
文档证据
100/100
问题与用途描述10 分
有效 README12 分
安装或接入步骤14 分
可执行示例16 分
输入、参数或工具说明11 分
输出或结果说明9 分
限制、权限或边界12 分
错误处理或排障8 分
许可证信息5 分
结构化章节3 分
安全证据
低风险
未发现已知高风险模式

静态扫描不是安全保证,生产接入前仍应人工复核权限和数据边界。

方法、证据与局限展开
数据来源

GitHub Repository API

扫描范围

6 个文件 · 35,139 字符

评测引擎

v3.10.0 · AI 复核已启用(deepseek-chat)

局限
  • 静态评测不会安装或执行项目代码
  • 安全扫描基于高信号文件与已知模式,不能替代人工审计
  • 流行度只反映采用程度,不代表安全或工程质量

30 天热度趋势

README

Skill Seekers

Skill Seekers

English | 简体中文 | 日本語 | 한국어 | Español | Français | Deutsch | Português | Türkçe | العربية | हिन्दी | Русский

Version License: MIT Python 3.10+ MCP Integration Tested PyPI version PyPI - Downloads Website GitHub Repo stars PyPI Downloads

yusufkaraaslan%2FSkill_Seekers | Trendshift

🧠 The data layer for AI systems. Skill Seekers turns documentation sites, GitHub repos, PDFs, videos, notebooks, wikis, and more — 18 source types — into structured knowledge assets, ready to power AI Skills (Claude, Gemini, OpenAI), RAG pipelines (LangChain, LlamaIndex, Pinecone), and AI coding assistants (Cursor, Windsurf, Cline). Prepare once, export to 22 targets.

💛 Sponsors

Bronze Sponsors

Fluxion AI
Sponsor — Bronze

Become a sponsor · GitHub Sponsors


🚀 Quick Start

# 1. Install
pip install skill-seekers

# 2. Create a skill from any source
skill-seekers create https://docs.djangoproject.com/

# Optional: preview how a source will be detected without creating anything
skill-seekers detect https://docs.djangoproject.com/ --json

# 3. Package it for your AI platform
skill-seekers package output/django --target claude

You now have output/django-claude.zip, ready to use.

# Pick a different AI agent for enhancement (default: claude)
skill-seekers create https://docs.djangoproject.com/ --agent kimi
skill-seekers create https://docs.djangoproject.com/ --agent-cmd "my-custom-agent run"

🛰️ AI-driven project scan

Point scan at a project and an AI agent reads its manifests, README, Dockerfile/CI and sampled source imports — then emits one config per detected framework, plus a <project>-codebase.json for your own code:

skill-seekers scan ./my-react-app --out ./configs/scanned/
# → react.json, vite.json, tailwind.json, jest.json, my-react-app-codebase.json

skill-seekers create ./configs/scanned/react.json

If a detection has no existing preset, the AI generates a fresh config; on exit you can optionally publish it back to the community registry.

All 18 source types

skill-seekers create facebook/react            # GitHub repository
skill-seekers create ./my-project              # Local codebase
skill-seekers create manual.pdf                # PDF
skill-seekers create report.docx               # Word
skill-seekers create book.epub                 # EPUB
skill-seekers create notebook.ipynb            # Jupyter
skill-seekers create openapi.yaml              # OpenAPI/Swagger
skill-seekers create presentation.pptx         # PowerPoint
skill-seekers create guide.adoc                # AsciiDoc
skill-seekers create page.html                 # Local HTML (or a whole dir)
skill-seekers create feed.rss                  # RSS/Atom
skill-seekers create curl.1                    # Man page

# Video (YouTube, Vimeo, or local — needs skill-seekers[video])
skill-seekers create --video-url https://www.youtube.com/watch?v=... --name mytutorial
skill-seekers create --setup                   # auto-install GPU-aware visual deps

skill-seekers create --space-key TEAM --name wiki               # Confluence
skill-seekers create --database-id ... --name docs              # Notion
skill-seekers create --chat-export-path ./slack-export --name team-chat  # Slack/Discord

See the Scraping Guide for every source type and its options.


📦 Installation

pip install skill-seekers              # Core: scraping, GitHub, PDF, packaging
pip install skill-seekers[all-llms]    # + every LLM platform
pip install skill-seekers[mcp]         # + MCP server
pip install skill-seekers[all]         # Everything

Not sure what you need? Run the wizard: skill-seekers-setup

All installation extras
InstallAdds
skill-seekers[gemini]Google Gemini support
skill-seekers[openai]OpenAI ChatGPT support
skill-seekers[all-llms]All LLM platforms
skill-seekers[mcp]MCP server for Claude Code, Cursor, etc.
skill-seekers[video]YouTube/Vimeo transcript & metadata extraction
skill-seekers[video-full]+ Whisper transcription & visual frame extraction
skill-seekers[jupyter]Jupyter Notebook support
skill-seekers[pptx]PowerPoint support
skill-seekers[confluence]Confluence wiki support
skill-seekers[notion]Notion pages support
skill-seekers[rss]RSS/Atom feed support
skill-seekers[chat]Slack/Discord chat export support
skill-seekers[asciidoc]AsciiDoc support
skill-seekers[all]Everything

Video visual deps (GPU-aware): after installing skill-seekers[video-full], run skill-seekers create --setup to auto-detect your GPU and install the matching PyTorch variant + easyocr.

Prerequisites: Python 3.10+, Git. New here? → Bulletproof Quick Start 🎯


📚 Documentation

I want to...Read this
Get started quicklyQuick Start — 3 commands to your first skill
Understand the conceptsCore Concepts
Scrape sourcesScraping Guide — all 18 source types
Enhance skills with AIEnhancement Guide · Enhancement Modes
Export skillsPackaging Guide
Build workflowsWorkflows
Look up a commandCLI Reference — all 19 commands
ConfigureConfig Format · Environment Variables
Set up MCPMCP Setup · MCP Reference
Integrate with RAG / IDEsLangChain · RAG Pipelines · Cursor · Windsurf · Cline
Handle huge doc setsLarge Documentation — 10K–40K+ pages
Understand the architectureUML Architecture — 14 diagrams
Fix a problemTroubleshooting

Complete documentation index: docs/README.md


🎯 What you get

Use caseOutputPowers
AI SkillsComprehensive SKILL.md + reference filesClaude Code, Gemini, GPT
RAG pipelinesChunked documents with rich metadataLangChain, LlamaIndex, Haystack
Vector databasesPre-formatted data ready for upsertPinecone, Chroma, Weaviate, FAISS, Qdrant
AI coding assistantsContext files your IDE AI reads automaticallyCursor, Windsurf, Cline, Continue.dev

Export targets (22)

skill-seekers package output/react --target claude      # → Claude Skill (ZIP + YAML)
skill-seekers package output/react --target langchain   # → LangChain Documents
skill-seekers package output/react --target llama-index # → LlamaIndex TextNodes
skill-seekers package output/react --target ibm-bob     # → IBM Bob skill directory

LLM platforms (12): claude · gemini · openai · minimax · opencode · kimi · deepseek · qwen · openrouter · together · fireworks · markdown RAG & vector (8): langchain · llama-index · haystack · chroma · faiss · weaviate · qdrant · pinecone Other (2): atlas · ibm-bob

See the Feature Matrix for per-platform support details.

Why it matters

  • ⚡ 99% faster — days of manual data prep → 15–45 minutes
  • 🎯 Real skill quality — 500+ line SKILL.md files with examples, patterns, and guides
  • 📊 RAG-ready chunks — smart chunking preserves code blocks and context
  • 🔄 Multi-source — combine docs + GitHub + PDFs + videos into one knowledge asset
  • 🌐 One prep, every target — export to 22 targets without re-scraping
  • ✅ Battle-tested — 3,900+ tests, 68 workflow presets, production-ready

✨ Key capabilities

Documentation scraping — SPA discovery, llms.txt, smart categorization

Three-layer discovery for JavaScript SPA sites (sitemap.xml → llms.txt → headless browser rendering), automatic llms.txt detection (10× faster when present), smart topic categorization, and a lenient HTML parser fallback so broken markup still scrapes.

→ Scraping Guide · llms.txt Support

GitHub & codebase analysis (C3.x) — AST parsing, pattern detection, how-to guides

Three-stream architecture: code analysis (AST, design patterns, tests), documentation (README, docs/, wiki), and community (issues, PRs, metadata). The C3.x pipeline adds 10 GoF pattern detectors across 9 languages, usage examples extracted from tests, AI-written how-to guides, config extraction, and architecture overviews.

skill-seekers create ./my-project --preset quick          # 1–2 min, surface level
skill-seekers create ./my-project --preset standard       # balanced (default)
skill-seekers create ./my-project --preset comprehensive  # deep, exhaustive

→ Pattern Detection · How-To Guides · Test Example Extraction

AI enhancement — API or local agents, 68 workflow presets

Every AI call runs through one transport, in API mode (Anthropic, Google Gemini, OpenAI, Moonshot/Kimi, MiniMax) or LOCAL mode (Claude Code, Kimi Code, Codex, Copilot, OpenCode, custom agents — no API costs). Control depth with --enhance-level 0-3 and pick an agent with --agent.

→ Enhancement Guide · Enhancement Modes · Multi-Agent Setup

Unified multi-source scraping — combine many sources into one skill

One config can pull documentation, GitHub, PDFs, videos, and more into a single knowledge asset, with conflict detection and pairwise synthesis across sources.

→ Unified Scraping

Search index inside the skill — query before you read (opt-in)

skill-seekers create <source> --index adds a stdlib-only scripts/search.py and a SQLite FTS5 index over the generated references, so an agent can find the right file#anchor before reading a large Markdown file wholesale. Off by default; the Markdown is untouched.

→ Skill Search Index

Video extraction — transcripts, frames, on-screen code

YouTube, Vimeo, and local files. Three-tier transcript fallback (subtitles → YouTube transcript API → local Whisper), plus optional visual extraction that OCRs on-screen code from sampled frames.

→ Video Guide

Quality, sync & scale

Quality scoring with a gate (skill-seekers quality output/react/ --threshold 7) or JSON stdout (skill-seekers quality output/react/ --json), provisional English readability metrics (informational — they never affect the score), doc-change detection with scheduled re-scrapes and notifications, streaming ingestion for very large doc sets, and incremental updates.

→ Large Documentation · Code Quality


🔌 MCP Integration (40 tools)

Skill Seekers ships an MCP server for Claude Code, Cursor, Windsurf, VS Code + Cline, and IntelliJ IDEA.

# stdio mode (Claude Code, VS Code + Cline)
python -m skill_seekers.mcp.server_fastmcp

# HTTP mode (Cursor, Windsurf, IntelliJ)
python -m skill_seekers.mcp.server_fastmcp --transport http --port 8765

Then just ask your assistant: "Package and upload the React skill."

→ MCP Setup · MCP Reference · HTTP Transport


🤖 Installing to AI agents

Skills install automatically into 19 AI coding agents:

skill-seekers install-agent output/react/ --agent cursor
skill-seekers install-agent output/react/ --agent all      # every detected agent
skill-seekers install-agent output/react/ --agent cursor --dry-run
AgentPathScope
Claude Code~/.claude/skills/Global
Cursor.cursor/skills/Project
VS Code / Copilot.github/skills/Project
Amp~/.amp/skills/Global
Goose~/.config/goose/skills/Global
OpenCode~/.opencode/skills/Global
Letta~/.letta/skills/Global
Aide~/.aide/skills/Global
Windsurf~/.windsurf/skills/Global
Neovate~/.neovate/skills/Global
Roo Code.roo/skills/Project
Cline.cline/skills/Project
Aider~/.aider/skills/Global
Bolt.bolt/skills/Project
Kilo Code.kilo/skills/Project
Continue~/.continue/skills/Global
Kimi Code~/.kimi/skills/Global
IBM Bob.bob/skills/Project

Uploading to Claude

export ANTHROPIC_API_KEY=sk-ant-...
skill-seekers package output/react/ --upload   # package + upload
skill-seekers upload output/react.zip          # upload an existing zip

No API key? Package it and upload output/react.zip manually at claude.ai/skills.

→ Upload Guide


⚙️ How it works

graph LR
    A[Documentation Website] --> B[Skill Seekers]
    B --> C[Scraper]
    B --> D[AI Enhancement]
    B --> E[Packager]
    C --> F[Organized References]
    D --> F
    F --> E
    E --> G[AI Skill .zip]
    G --> H[Upload to AI Platform]
  1. Scrape — extract every page (checking llms.txt first)
  2. Categorize — organize content into topics (API, guides, tutorials, …)
  3. Enhance — AI writes a comprehensive SKILL.md with examples
  4. Package — bundle into a platform-ready artifact
  5. Upload — ship it to your AI platform (optional)

Architecture

8 core modules + 5 utility modules (~200 classes):

ModulePurpose
CLICoreGit-style command dispatcher, source auto-detection
Scrapers18 source-type extractors on a shared build layer
Adaptors22 output platform formats behind one SkillAdaptor ABC
AnalysisC3.x codebase pipeline, 10 GoF pattern detectors
EnhancementAI improvement via a single AgentClient transport
PackagingPackage, upload, and install skills
MCPFastMCP server (40 tools, 10 tool modules)
SyncDoc change detection and notification

→ UML Architecture · API Reference · Skill Architecture


🆕 New in v3.9.0

  • HTML parser fallback for broken markup (#96) — severely malformed pages no longer scrape as empty; well-formed pages are byte-identical.
  • Transient-failure retries — the doc scraper (#97) and MCP fetch_config (#92) now retry connection blips and 5xx with backoff; 4xx still fails fast.
  • Whisper transcription fallback (#420) — local videos without subtitles finally get a real transcript.
  • MiniMax image OCR + registry-driven multimodal providers (#423) — providers declare their wire protocol and image capability; China-issued keys work against the right endpoint.
  • Token-lean GitHub issue defaults (#169) — GitHub skills no longer bundle full closed-issue history by default.
  • Env-driven CORS across all three servers (#422, #424) — no more wildcard origins with credentials.

Full history: CHANGELOG.md


📈 Performance

Documentation sizeTimeOutput
Small (< 100 pages)5–10 min~2 MB
Medium (100–500 pages)15–30 min~10 MB
Large (500–2,000 pages)30–60 min~40 MB
Huge (10K–40K+ pages)Use streamSee Large Documentation

🐛 Troubleshooting

skill-seekers doctor          # diagnose installation & environment
skill-seekers doctor --json   # machine-readable diagnostics for CI and agents
skill-seekers sync-config     # detect config drift

Common issues and fixes: Troubleshooting Guide · TROUBLESHOOTING.md


🤝 Contributing

Contributions are welcome — see CONTRIBUTING.md.


📝 License

MIT — see LICENSE.

🔒 Security

MseeP.ai Security Assessment Badge


🌐 Ecosystem

Skill Seekers is a multi-repo project:

RepositoryDescriptionLinks
Skill_SeekersCore CLI & MCP server (this repo)PyPI
skillseekerswebWebsite & documentationLive
skill-seekers-configsCommunity config repository
skill-seekers-actionGitHub Action for CI/CD
skill-seekers-pluginClaude Code plugin
homebrew-skill-seekersHomebrew tap for macOS

Want to contribute? The website and configs repos are great starting points for new contributors!