feat: Complete Phase 1 - AI Coding Assistant Integrations (v2.10.0)
Add comprehensive integration guides for 4 AI coding assistants: ## New Integration Guides (98KB total) - docs/integrations/WINDSURF.md (20KB) - Windsurf IDE with .windsurfrules - docs/integrations/CLINE.md (25KB) - Cline VS Code extension with MCP - docs/integrations/CONTINUE_DEV.md (28KB) - Continue.dev for any IDE - docs/integrations/INTEGRATIONS.md (25KB) - Comprehensive hub with decision tree ## Working Examples (3 directories, 11 files) - examples/windsurf-fastapi-context/ - FastAPI + Windsurf automation - examples/cline-django-assistant/ - Django + Cline with MCP server - examples/continue-dev-universal/ - HTTP context server for all IDEs ## README.md Updates - Updated tagline: Universal preprocessor for 10+ AI systems - Expanded Supported Integrations table (7 → 10 platforms) - Added 'AI Coding Assistant Integrations' section (60+ lines) - Cross-links to all new guides and examples ## Impact - Week 2 of ACTION_PLAN.md: 4/4 tasks complete (100%) ✅ - Total new documentation: ~3,000 lines - Total new code: ~1,000 lines (automation scripts, servers) - Integration coverage: LangChain, LlamaIndex, Pinecone, Cursor, Windsurf, Cline, Continue.dev, Claude, Gemini, ChatGPT ## Key Features - All guides follow proven 11-section pattern from CURSOR.md - Real-world examples with automation scripts - Multi-IDE consistency (Continue.dev works in VS Code, JetBrains, Vim) - MCP integration for dynamic documentation access - Complete troubleshooting sections with solutions Positions Skill Seekers as universal preprocessor for ANY AI system. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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# AI System Integrations with Skill Seekers
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**Universal Preprocessor:** Transform documentation into structured knowledge for any AI system
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---
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## 🤔 Which Integration Should I Use?
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| Your Goal | Recommended Tool | Format | Setup Time | Guide |
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|-----------|-----------------|--------|------------|-------|
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| Build RAG with Python | LangChain | `--target langchain` | 5 min | [Guide](LANGCHAIN.md) |
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| Query engine from docs | LlamaIndex | `--target llama-index` | 5 min | [Guide](LLAMA_INDEX.md) |
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| Vector database only | Pinecone/Weaviate | `--target [db]` | 3 min | [Guide](PINECONE.md) |
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| AI coding (VS Code fork) | Cursor | `--target claude` | 5 min | [Guide](CURSOR.md) |
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| AI coding (Windsurf) | Windsurf | `--target markdown` | 5 min | [Guide](WINDSURF.md) |
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| AI coding (VS Code ext) | Cline (MCP) | `--target claude` | 10 min | [Guide](CLINE.md) |
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| AI coding (any IDE) | Continue.dev | `--target markdown` | 5 min | [Guide](CONTINUE_DEV.md) |
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| Claude AI chat | Claude | `--target claude` | 3 min | [Guide](CLAUDE.md) |
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| Chunked for RAG | Any + chunking | `--chunk-for-rag` | + 2 min | [RAG Guide](RAG_PIPELINES.md) |
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---
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## 📚 RAG & Vector Databases
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### Production-Ready RAG Frameworks
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Transform documentation into RAG-ready formats for AI-powered search and retrieval:
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| Framework | Users | Format | Best For | Guide |
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|-----------|-------|--------|----------|-------|
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| **[LangChain](LANGCHAIN.md)** | 500K+ | Document | Python RAG, most popular | [Setup →](LANGCHAIN.md) |
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| **[LlamaIndex](LLAMA_INDEX.md)** | 200K+ | TextNode | Q&A focus, query engine | [Setup →](LLAMA_INDEX.md) |
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| **[Haystack](HAYSTACK.md)** | 50K+ | Document | Enterprise, multi-language | *Coming in v2.11.0* |
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**Quick Example:**
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```bash
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# Generate LangChain documents
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skill-seekers scrape --config configs/react.json
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skill-seekers package output/react --target langchain
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# Use in RAG pipeline
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python examples/langchain-rag-pipeline/quickstart.py
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```
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### Vector Database Integrations
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Direct upload to vector databases without RAG frameworks:
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| Database | Type | Best For | Guide |
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|----------|------|----------|-------|
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| **[Pinecone](PINECONE.md)** | Cloud | Production, serverless | [Setup →](PINECONE.md) |
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| **[Weaviate](WEAVIATE.md)** | Self-hosted/Cloud | Enterprise, GraphQL | [Setup →](WEAVIATE.md) |
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| **[Chroma](CHROMA.md)** | Local | Development, embeddings included | [Setup →](CHROMA.md) |
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| **[FAISS](FAISS.md)** | Local | High performance, Facebook | [Setup →](FAISS.md) |
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| **[Qdrant](QDRANT.md)** | Self-hosted/Cloud | Rust engine, filtering | [Setup →](QDRANT.md) |
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**Quick Example:**
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```bash
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# Generate Pinecone format
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skill-seekers scrape --config configs/fastapi.json
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skill-seekers package output/fastapi --target pinecone
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# Upsert to Pinecone
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python examples/pinecone-upsert/quickstart.py
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```
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---
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## 💻 AI Coding Assistants
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### IDE-Native AI Tools
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Give AI coding assistants expert knowledge of your frameworks:
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| Tool | Type | IDEs | Format | Setup | Guide |
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|------|------|------|--------|-------|-------|
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| **[Cursor](CURSOR.md)** | IDE (VS Code fork) | Cursor IDE | `.cursorrules` | 5 min | [Setup →](CURSOR.md) |
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| **[Windsurf](WINDSURF.md)** | IDE (Codeium) | Windsurf IDE | `.windsurfrules` | 5 min | [Setup →](WINDSURF.md) |
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| **[Cline](CLINE.md)** | VS Code Extension | VS Code | `.clinerules` + MCP | 10 min | [Setup →](CLINE.md) |
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| **[Continue.dev](CONTINUE_DEV.md)** | Plugin | VS Code, JetBrains, Vim | HTTP context | 5 min | [Setup →](CONTINUE_DEV.md) |
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**Quick Example:**
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```bash
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# For any AI coding assistant (Cursor, Windsurf, Cline, Continue.dev)
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skill-seekers scrape --config configs/django.json
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skill-seekers package output/django --target markdown # or --target claude
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# Copy to your project
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cp output/django-markdown/SKILL.md my-project/.cursorrules # or appropriate config
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```
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**Comparison:**
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| Feature | Cursor | Windsurf | Cline | Continue.dev |
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|---------|--------|----------|-------|--------------|
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| **IDE Type** | Fork (VS Code) | Native IDE | Extension | Plugin (multi-IDE) |
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| **Config File** | `.cursorrules` | `.windsurfrules` | `.clinerules` | HTTP context provider |
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| **Multi-IDE** | ❌ (Cursor only) | ❌ (Windsurf only) | ❌ (VS Code only) | ✅ (All IDEs) |
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| **MCP Support** | ✅ | ✅ | ✅ | ✅ |
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| **Character Limit** | No limit | 12K chars (6K per file) | No limit | No limit |
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| **Setup Complexity** | Easy ⭐ | Easy ⭐ | Medium ⭐⭐ | Easy ⭐ |
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| **Team Sharing** | Git-tracked file | Git-tracked files | Git-tracked file | HTTP server |
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---
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## 🎯 AI Chat Platforms
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Upload documentation as custom skills to AI chat platforms:
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| Platform | Provider | Format | Best For | Guide |
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|----------|----------|--------|----------|-------|
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| **[Claude](CLAUDE.md)** | Anthropic | ZIP + YAML | Claude.ai Projects | [Setup →](CLAUDE.md) |
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| **[Gemini](GEMINI_INTEGRATION.md)** | Google | tar.gz | Gemini AI | [Setup →](GEMINI_INTEGRATION.md) |
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| **[ChatGPT](OPENAI_INTEGRATION.md)** | OpenAI | ZIP + Vector Store | GPT Actions | [Setup →](OPENAI_INTEGRATION.md) |
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**Quick Example:**
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```bash
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# Generate Claude skill
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skill-seekers scrape --config configs/vue.json
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skill-seekers package output/vue --target claude
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# Upload to Claude
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skill-seekers upload output/vue-claude.zip --target claude
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```
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---
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## 🧠 Choosing the Right Integration
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### By Use Case
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| Your Goal | Best Integration | Why? | Setup Time |
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|-----------|-----------------|------|------------|
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| **Build Python RAG pipeline** | LangChain | Most popular, 500K+ users, extensive docs | 5 min |
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| **Query engine from docs** | LlamaIndex | Optimized for Q&A, built-in persistence | 5 min |
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| **Enterprise RAG system** | Haystack | Production-ready, multi-language support | 10 min |
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| **Vector DB only (no framework)** | Pinecone/Weaviate/Chroma | Direct upload, no framework overhead | 3 min |
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| **AI coding (VS Code fork)** | Cursor | Best integration, native `.cursorrules` | 5 min |
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| **AI coding (flow-based)** | Windsurf | Unique flow paradigm, Codeium AI | 5 min |
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| **AI coding (VS Code ext)** | Cline | Claude in VS Code, MCP integration | 10 min |
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| **AI coding (any IDE)** | Continue.dev | Works everywhere, open-source | 5 min |
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| **Chat with documentation** | Claude/Gemini/ChatGPT | Direct upload as custom skill | 3 min |
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### By Technical Requirements
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| Requirement | Compatible Integrations |
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|-------------|-------------------------|
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| **Python required** | LangChain, LlamaIndex, Haystack, all vector DBs |
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| **No dependencies** | Cursor, Windsurf, Cline, Continue.dev (markdown export) |
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| **Cloud-hosted** | Pinecone, Claude, Gemini, ChatGPT |
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| **Self-hosted** | Chroma, FAISS, Qdrant, Continue.dev |
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| **Multi-language** | Haystack, Continue.dev |
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| **VS Code specific** | Cursor, Cline, Continue.dev |
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| **IDE agnostic** | LangChain, LlamaIndex, Continue.dev |
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| **Real-time updates** | Continue.dev (HTTP server), MCP servers |
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### By Team Size
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| Team Size | Recommended Stack | Why? |
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|-----------|------------------|------|
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| **Solo developer** | Cursor + Claude + Chroma (local) | Simple setup, no infrastructure |
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| **Small team (2-5)** | Continue.dev + LangChain + Pinecone | IDE-agnostic, cloud vector DB |
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| **Medium team (5-20)** | Windsurf/Cursor + LlamaIndex + Weaviate | Good balance of features |
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| **Enterprise (20+)** | Continue.dev + Haystack + Qdrant/Weaviate | Production-ready, scalable |
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### By Development Environment
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| Environment | Recommended Tools | Setup |
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|-------------|------------------|-------|
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| **VS Code Only** | Cursor (fork) or Cline (extension) | `.cursorrules` or `.clinerules` |
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| **JetBrains Only** | Continue.dev | HTTP context provider |
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| **Mixed IDEs** | Continue.dev | Same config, all IDEs |
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| **Vim/Neovim** | Continue.dev | Plugin + HTTP server |
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| **Multiple Frameworks** | Continue.dev + RAG pipeline | HTTP server + vector search |
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---
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## 🚀 Quick Decision Tree
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```
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Do you need RAG/search?
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├─ Yes → Use RAG framework (LangChain/LlamaIndex/Haystack)
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│ ├─ Beginner? → LangChain (most docs)
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│ ├─ Q&A focus? → LlamaIndex (optimized for queries)
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│ └─ Enterprise? → Haystack (production-ready)
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│
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└─ No → Use AI coding tool or chat platform
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├─ Need AI coding assistant?
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│ ├─ Use VS Code?
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│ │ ├─ Want native fork? → Cursor
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│ │ └─ Want extension? → Cline
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│ ├─ Use other IDE? → Continue.dev
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│ ├─ Use Windsurf? → Windsurf
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│ └─ Team uses mixed IDEs? → Continue.dev
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│
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└─ Just chat with docs? → Claude/Gemini/ChatGPT
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```
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---
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## 🎨 Common Patterns
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### Pattern 1: RAG + AI Coding
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**Best for:** Deep documentation search + context-aware coding
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```bash
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# 1. Generate RAG pipeline (LangChain)
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skill-seekers scrape --config configs/django.json
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skill-seekers package output/django --target langchain --chunk-for-rag
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# 2. Generate AI coding context (Cursor)
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skill-seekers package output/django --target claude
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# 3. Use both:
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# - Cursor: Quick context for common patterns
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# - RAG: Deep search for complex questions
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# Copy to project
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cp output/django-claude/SKILL.md my-project/.cursorrules
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# Query RAG when needed
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python rag_search.py "How to implement custom Django middleware?"
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```
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### Pattern 2: Multi-IDE Team Consistency
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**Best for:** Teams using different IDEs
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```bash
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# 1. Generate documentation
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skill-seekers scrape --config configs/react.json
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# 2. Set up Continue.dev HTTP server (team server)
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python context_server.py --host 0.0.0.0 --port 8765
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# 3. Team members configure Continue.dev:
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# ~/.continue/config.json (same for all IDEs)
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{
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"contextProviders": [{
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"name": "http",
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"params": {
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"url": "http://team-server:8765/docs/react",
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"title": "react-docs"
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}
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}]
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}
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# Result: VS Code, IntelliJ, PyCharm all use same context!
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```
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### Pattern 3: Full-Stack Development
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**Best for:** Backend + Frontend with different frameworks
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```bash
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# 1. Generate backend context (FastAPI)
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skill-seekers scrape --config configs/fastapi.json
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skill-seekers package output/fastapi --target markdown
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# 2. Generate frontend context (Vue)
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skill-seekers scrape --config configs/vue.json
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skill-seekers package output/vue --target markdown
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# 3. For Cursor (modular rules):
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cat output/fastapi-markdown/SKILL.md >> .cursorrules
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echo "\n\n# Frontend Framework\n" >> .cursorrules
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cat output/vue-markdown/SKILL.md >> .cursorrules
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# 4. For Continue.dev (multiple providers):
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{
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"contextProviders": [
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{"name": "http", "params": {"url": "http://localhost:8765/docs/fastapi"}},
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{"name": "http", "params": {"url": "http://localhost:8765/docs/vue"}}
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]
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}
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# Now AI knows BOTH backend AND frontend patterns!
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```
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### Pattern 4: Documentation + Codebase Analysis
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**Best for:** Custom internal frameworks
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```bash
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# 1. Scrape public documentation
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skill-seekers scrape --config configs/custom-framework.json
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# 2. Analyze internal codebase
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skill-seekers analyze --directory /path/to/internal/repo --comprehensive
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# 3. Merge both:
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skill-seekers merge-sources \
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--docs output/custom-framework \
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--codebase output/internal-repo \
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--output output/complete-knowledge
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# 4. Package for any platform
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skill-seekers package output/complete-knowledge --target [platform]
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# Result: Documentation + Real-world code patterns!
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```
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---
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## 💡 Best Practices
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### 1. Start Simple, Scale Up
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**Phase 1:** Single framework, single tool
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```bash
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# Week 1: Just Cursor + React
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skill-seekers scrape --config configs/react.json
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skill-seekers package output/react --target claude
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cp output/react-claude/SKILL.md .cursorrules
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```
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**Phase 2:** Add RAG for deep search
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```bash
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# Week 2: Add LangChain for complex queries
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skill-seekers package output/react --target langchain --chunk-for-rag
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# Now you have: Cursor (quick) + RAG (deep)
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```
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**Phase 3:** Scale to team
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```bash
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# Week 3: Continue.dev HTTP server for team
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python context_server.py --host 0.0.0.0
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# Team members configure Continue.dev
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```
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### 2. Layer Your Context
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**Priority order:**
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1. **Project conventions** (highest priority)
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- Custom patterns
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- Team standards
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- Company guidelines
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2. **Framework documentation** (medium priority)
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- Official best practices
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- Common patterns
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- API reference
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3. **RAG search** (lowest priority)
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- Deep documentation search
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- Edge cases
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- Historical context
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**Example (Cursor):**
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```bash
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# Layer 1: Project conventions (loaded first)
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cat > .cursorrules << 'EOF'
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# Project-Specific Patterns (HIGHEST PRIORITY)
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Always use async/await for database operations.
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Never use 'any' type in TypeScript.
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EOF
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# Layer 2: Framework docs (loaded second)
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cat output/react-markdown/SKILL.md >> .cursorrules
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# Layer 3: RAG search (when needed)
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# Query separately for deep questions
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```
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### 3. Update Regularly
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**Monthly:** Framework documentation
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```bash
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# Check for framework updates
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skill-seekers scrape --config configs/react.json
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# If new version, re-package
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skill-seekers package output/react --target [your-platform]
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```
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**Quarterly:** Codebase analysis
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```bash
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# Re-analyze internal codebase for new patterns
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skill-seekers analyze --directory . --comprehensive
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```
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**Yearly:** Architecture review
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```bash
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# Review and update project conventions
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# Check if new integrations are available
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```
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### 4. Measure Effectiveness
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**Track these metrics:**
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- **Context hit rate:** How often AI references your documentation
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- **Code quality:** Fewer pattern violations after adding context
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- **Development speed:** Time saved on common tasks
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- **Team consistency:** Similar code patterns across team members
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**Example monitoring:**
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```python
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# Track Cursor suggestions quality
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# Compare before/after adding .cursorrules
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# Before: 60% generic suggestions, 40% framework-specific
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# After: 20% generic suggestions, 80% framework-specific
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# Improvement: 2x better context awareness
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```
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### 5. Share with Team
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**Git-tracked configs:**
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```bash
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# Add to version control
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git add .cursorrules
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git add .clinerules
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git add .continue/config.json
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git commit -m "Add AI assistant configuration"
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# Team benefits immediately
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git pull # New team member gets context
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```
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|
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**Documentation:**
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```markdown
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# README.md
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|
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## AI Assistant Setup
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|
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This project uses Cursor with custom rules:
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|
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1. Install Cursor: https://cursor.sh/
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2. Open project: `cursor .`
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3. Rules auto-load from `.cursorrules`
|
||||
4. Start coding with AI context!
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 📖 Complete Guides
|
||||
|
||||
### RAG & Vector Databases
|
||||
- **[LangChain Integration](LANGCHAIN.md)** - 500K+ users, Document format
|
||||
- **[LlamaIndex Integration](LLAMA_INDEX.md)** - 200K+ users, TextNode format
|
||||
- **[Pinecone Integration](PINECONE.md)** - Cloud-native vector database
|
||||
- **[Weaviate Integration](WEAVIATE.md)** - Enterprise-grade, GraphQL API
|
||||
- **[Chroma Integration](CHROMA.md)** - Local-first, embeddings included
|
||||
- **[RAG Pipelines Guide](RAG_PIPELINES.md)** - End-to-end RAG setup
|
||||
|
||||
### AI Coding Assistants
|
||||
- **[Cursor Integration](CURSOR.md)** - VS Code fork with AI (`.cursorrules`)
|
||||
- **[Windsurf Integration](WINDSURF.md)** - Codeium's IDE with AI flows
|
||||
- **[Cline Integration](CLINE.md)** - Claude in VS Code (MCP integration)
|
||||
- **[Continue.dev Integration](CONTINUE_DEV.md)** - Multi-platform, open-source
|
||||
|
||||
### AI Chat Platforms
|
||||
- **[Claude Integration](CLAUDE.md)** - Anthropic's AI assistant
|
||||
- **[Gemini Integration](GEMINI_INTEGRATION.md)** - Google's AI
|
||||
- **[ChatGPT Integration](OPENAI_INTEGRATION.md)** - OpenAI
|
||||
|
||||
### Advanced Topics
|
||||
- **[Multi-LLM Support](MULTI_LLM_SUPPORT.md)** - Platform comparison
|
||||
- **[MCP Setup Guide](../MCP_SETUP.md)** - Model Context Protocol
|
||||
|
||||
---
|
||||
|
||||
## 🚀 Quick Start Examples
|
||||
|
||||
### For RAG Pipelines:
|
||||
```bash
|
||||
# Generate LangChain documents
|
||||
skill-seekers scrape --config configs/react.json
|
||||
skill-seekers package output/react --target langchain
|
||||
|
||||
# Use in RAG pipeline
|
||||
python examples/langchain-rag-pipeline/quickstart.py
|
||||
```
|
||||
|
||||
### For AI Coding:
|
||||
```bash
|
||||
# Generate Cursor rules
|
||||
skill-seekers scrape --config configs/django.json
|
||||
skill-seekers package output/django --target claude
|
||||
|
||||
# Copy to project
|
||||
cp output/django-claude/SKILL.md my-project/.cursorrules
|
||||
```
|
||||
|
||||
### For Vector Databases:
|
||||
```bash
|
||||
# Generate Pinecone format
|
||||
skill-seekers scrape --config configs/fastapi.json
|
||||
skill-seekers package output/fastapi --target pinecone
|
||||
|
||||
# Upsert to Pinecone
|
||||
python examples/pinecone-upsert/quickstart.py
|
||||
```
|
||||
|
||||
### For Multi-IDE Teams:
|
||||
```bash
|
||||
# Generate documentation
|
||||
skill-seekers scrape --config configs/vue.json
|
||||
|
||||
# Start HTTP context server
|
||||
python examples/continue-dev-universal/context_server.py
|
||||
|
||||
# Configure Continue.dev (same config, all IDEs)
|
||||
# ~/.continue/config.json
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🎯 Platform Comparison Matrix
|
||||
|
||||
| Feature | LangChain | LlamaIndex | Cursor | Windsurf | Cline | Continue.dev | Claude Chat |
|
||||
|---------|-----------|------------|--------|----------|-------|--------------|-------------|
|
||||
| **Setup Time** | 5 min | 5 min | 5 min | 5 min | 10 min | 5 min | 3 min |
|
||||
| **Python Required** | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ |
|
||||
| **Works Offline** | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ |
|
||||
| **Multi-IDE** | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ |
|
||||
| **Real-time Updates** | ✅ | ✅ | ❌ | ❌ | ✅ (MCP) | ✅ | ❌ |
|
||||
| **Team Sharing** | Git | Git | Git | Git | Git | HTTP server | Cloud |
|
||||
| **Context Limit** | No limit | No limit | No limit | 12K chars | No limit | No limit | 200K tokens |
|
||||
| **Custom Search** | ✅ | ✅ | ❌ | ❌ | ❌ | ✅ | ❌ |
|
||||
| **Best For** | RAG pipelines | Q&A engines | VS Code users | Windsurf users | Claude in VS Code | Multi-IDE teams | Quick chat |
|
||||
|
||||
---
|
||||
|
||||
## 🤝 Community & Support
|
||||
|
||||
- **Questions:** [GitHub Discussions](https://github.com/yusufkaraaslan/Skill_Seekers/discussions)
|
||||
- **Issues:** [GitHub Issues](https://github.com/yusufkaraaslan/Skill_Seekers/issues)
|
||||
- **Website:** [skillseekersweb.com](https://skillseekersweb.com/)
|
||||
- **Examples:** [GitHub Examples](https://github.com/yusufkaraaslan/Skill_Seekers/tree/main/examples)
|
||||
|
||||
---
|
||||
|
||||
## 📖 What's Next?
|
||||
|
||||
1. **Choose your integration** from the table above
|
||||
2. **Follow the setup guide** (5-10 minutes)
|
||||
3. **Test with your framework** using provided examples
|
||||
4. **Customize for your project** with project-specific patterns
|
||||
5. **Share with your team** via Git or HTTP server
|
||||
|
||||
**Need help deciding?** Ask in [GitHub Discussions](https://github.com/yusufkaraaslan/Skill_Seekers/discussions)
|
||||
|
||||
---
|
||||
|
||||
**Last Updated:** February 7, 2026
|
||||
**Skill Seekers Version:** v2.10.0+
|
||||
Reference in New Issue
Block a user