Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLIAbout this skill
Optimize accuracy for RAG (Retrieval-Augmented Generation) systems. Covers: DB schema design, chunking strategies, retrieval optimization, accuracy testing, and anti-hallucination safeguards. Use when: (1) designing or improving a RAG pipeline, (2) choosing the right chunking strategy, (3) optimizing retrieval accuracy (hybrid search, reranking, multi-query), (4) evaluating chunk quality or testing accuracy, (5) setting up monitoring & safeguards for RAG production, (6) choosing SQL vs Vector DB, (7) designing metadata schemas for domain-specific data (insurance, finance, healthcare, e-commerce).
Quick start
- Copy the install prompt. Use the green button above this README.
- Send it to your agent. Paste it into your coding agent’s chat and send.
- Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.
Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.
0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1
Content SHA-256: 56023e47b321d364315f6279ec755d167c96e102f73ab6d1ead337ea5615c825
About this listing
- Category
- Engineering
- Reported license
- MIT
- Listing language (estimated)
- English
- Review status
- Not individually reviewed
- Agent compatibility
- Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.