Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLIAbout this skill
Shrink an embedding/RAG vector store 4–32× via int8 or binary quantization with a float rescore pass, preserving recall and provenance metadata. Use when a vector store is too large to be laptop-resident, query cost/latency is too high, or embeddings need to be quantized for FAISS/Qdrant/usearch. Do NOT use for embed-time ingestion failures (e.g. a provider 'too many tokens' 400 — that is an upstream chunking bug, not a storage-size problem) and do NOT enable the dark TurboQuant 4-bit path without the gate below.
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: 3ea294fdb834fc040ed031fd7f1bbbd142d07e9921cafecabd1c8628107b2ab8
About this listing
- Category
- General
- 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.