rag-skills
✓RAG-specific best practices for LlamaIndex, ChromaDB, and Celery workers. Covers ingestion, retrieval, embeddings, and performance.
Installation
SKILL.md
Framework-specific patterns and code review checklists for the RAG component.
| Python | Python | 3.11+ | | Document Processing | LlamaIndex | 0.13+ | | Vector Storage | ChromaDB | 1.0+ | | Task Queue | Celery | 5.5+ | | Embeddings | Universal/Ollama/OpenAI | Multiple |
| LlamaIndex | llamaindex.md | Document parsing, chunking, node conversion | | ChromaDB | chromadb.md | Collections, embeddings, distance metrics | | Celery | celery.md | Task routing, error handling, worker config | | Performance | performance.md | Batching, caching, deduplication |
RAG-specific best practices for LlamaIndex, ChromaDB, and Celery workers. Covers ingestion, retrieval, embeddings, and performance. Source: llama-farm/llamafarm.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/llama-farm/llamafarm --skill rag-skills- Source
- llama-farm/llamafarm
- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is rag-skills?
RAG-specific best practices for LlamaIndex, ChromaDB, and Celery workers. Covers ingestion, retrieval, embeddings, and performance. Source: llama-farm/llamafarm.
How do I install rag-skills?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/llama-farm/llamafarm --skill rag-skills Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/llama-farm/llamafarm
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-01