agentdb-optimization
Provides concrete optimization techniques for AgentDB vector databases, including quantization methods (binary, scalar, product) for 4-32x memory reduction, HNSW indexing for 150x faster search, caching strategies, and batch operations. Includes specific performance benchmarks and configuration examples.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install proffesor-for-testing-agentic-qe-agentdb-optimization
Repository
Skill path: .claude/skills/agentdb-optimization
Provides concrete optimization techniques for AgentDB vector databases, including quantization methods (binary, scalar, product) for 4-32x memory reduction, HNSW indexing for 150x faster search, caching strategies, and batch operations. Includes specific performance benchmarks and configuration examples.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI, Backend, Full Stack.
Target audience: Data teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: proffesor-for-testing.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install agentdb-optimization into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/proffesor-for-testing/agentic-qe before adding agentdb-optimization to shared team environments
- Use agentdb-optimization for data workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.