mcpbeat

Agentdb Vector Search Optimization

comeonoliver/agentdb-vector-search-optimization

Optimize AgentDB vector search performance using quantization for 4-32x memory reduction, HNSW indexing for 150x faster search, caching, and batch operations for scaling to millions of vectors.

4k tokens
context cost
the whole folder, loaded on every use
5
files
instructions only
1
copies elsewhere
how many repositories repackaged it
59
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository 
npx skills add https://github.com/ComeOnOliver/skillshub --skill agentdb-vector-search-optimization

Repackaged in 1 other repositories

same content, different owner
aiskillstore/marketplace open on GitHub →

How to use it

Copy the folder

Take comeonoliver/agentdb-vector-search-optimization from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.