SkillCheatSheet
faiss
An AI agent skill from Orchestra-Research/AI-Research-SKILLs, scored 62 out of 100 by code.
Code score by group
It loses the most points in Done criteria (15), the group that checks whether there is a checklist and a step that verifies the work.
What the author says it does
Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata. Best for high-performance applications.
This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.
- Repository
- Orchestra-Research/AI-Research-SKILLs
- Folder
- 15-rag/faiss
- License
- MIT
- GitHub stars
- 14,480
- SKILL.md lines
- 222
- Other files
- 1
Add faiss to your agent
npx skills add Orchestra-Research/AI-Research-SKILLs --skill faissThe command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.
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All skills in Orchestra-Research/AI-Research-SKILLs
Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.