rag-skills
RAG-specific best practices for LlamaIndex, ChromaDB, and Celery workers. Covers ingestion, retrieval, embeddings, and performance.
npx skills add majiayu000/claude-skill-registry --skill rag-skills-llama-farm-llamafarm-2 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# RAG Skills for LlamaFarm Framework-specific patterns and code review checklists for the RAG component. **Extends**: [python-skills](../python-skills/SKILL.md) - All Python best practices apply here. ## Component Overview | Aspect | Technology | Version | |--------|------------|---------| | Python | Python | 3.11+ | | Document Processing | LlamaIndex | 0.13+ | | Vector Storage | ChromaDB | 1.0+ | | Task Queue | Celery | 5.5+ | | Embeddings | Universal/Ollama/OpenAI | Multiple | ## Directory Structure ``` rag/ ├── api.py # Search and database APIs ├── celery_app.py # Celery configuration ├── main.py # Entry point ├── core/ │ ├── base.py # Document, Component, Pipeline ABCs │ ├── factories.py # Component factories │ ├── ingest_handler.py # File ingestion with safety checks │ ├── blob_processor.py # Binary file processing │ ├── settings.py # Pydantic settings │ └── logging.py # RAGStructLogger ├── components/ │ ├── embedders/ # Embedding providers │ ├── extractors/ # Metadata extractors │ ├── parsers/ # Document parsers (LlamaIndex) │ ├── retrievers/ # Retrieval strategies │ └── stores/ # Vector stores (ChromaDB, FAISS) ├── tasks/ # Celery tasks │ ├── ingest_tasks.py # File ingestion
- Component Overview
- Directory Structure
- Quick Reference
- Core Patterns
- Document Dataclass
- Component Abstract Base Class
- Retrieval Strategy Pattern
- Embedder with Circuit Breaker
- Review Checklist Summary
What does the rag-skills skill do?
RAG-specific best practices for LlamaIndex, ChromaDB, and Celery workers. Covers ingestion, retrieval, embeddings, and performance.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill rag-skills-llama-farm-llamafarm-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.