agentdb-vector-search
Provides vector database functionality for semantic search with AgentDB integration. Includes CLI tools for database management, TypeScript API for programmatic use, and MCP server for Claude Code. Supports multiple quantization methods and distance metrics for performance optimization.
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-vector-search
Repository
Skill path: .claude/skills/agentdb-vector-search
Provides vector database functionality for semantic search with AgentDB integration. Includes CLI tools for database management, TypeScript API for programmatic use, and MCP server for Claude Code. Supports multiple quantization methods and distance metrics for performance optimization.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI, Backend, Integration.
Target audience: AI/ML 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-vector-search into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/proffesor-for-testing/agentic-qe before adding agentdb-vector-search to shared team environments
- Use agentdb-vector-search for ai/ml workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.