SkillCheatSheet
qdrant-vector-search
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
High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.
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/qdrant
- License
- MIT
- GitHub stars
- 14,480
- SKILL.md lines
- 494
- Other files
- 2
Add qdrant-vector-search to your agent
npx skills add Orchestra-Research/AI-Research-SKILLs --skill qdrant-vector-searchThe 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.