vector-index-tuning
Optimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters, selecting quantization strategies, or scaling vector search infrastructure.
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 agentgptsmith-monadframework-vector-index-tuning
Repository
Skill path: .claude/skills/vector-index-tuning
Optimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters, selecting quantization strategies, or scaling vector search infrastructure.
Open repositoryBest for
Primary workflow: Ship Full Stack.
Technical facets: Full Stack.
Target audience: Development teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: agentgptsmith.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install vector-index-tuning into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/agentgptsmith/MonadFramework before adding vector-index-tuning to shared team environments
- Use vector-index-tuning for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.