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Vector index tuning

Skill sinhoneyy/master-skills/plugins/master-skills-ai-agent-builder/skills/vector-index-tuning

Unified skill library for Claude, Codex, Cursor, Antigravity & AI agents — 2,658 skills across 15 domains

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npx -y skills add sinhoneyy/master-skills --skill vector-index-tuning

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Optimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters, selecting quantization strategies, or scaling vector search infrastructure.

SKILL.md

1.8 KB, 317 tokens by cl100k_base, as published. Nobody here has run it

Vector Index Tuning

Guide to optimizing vector indexes for production performance.

Use this skill when

  • Tuning HNSW parameters
  • Implementing quantization
  • Optimizing memory usage
  • Reducing search latency
  • Balancing recall vs speed
  • Scaling to billions of vectors

Do not use this skill when

  • You only need exact search on small datasets (use a flat index)
  • You lack workload metrics or ground truth to validate recall
  • You need end-to-end retrieval system design beyond index tuning

Instructions

  1. Gather workload targets (latency, recall, QPS), data size, and memory budget.
  2. Choose an index type and establish a baseline with default parameters.
  3. Benchmark parameter sweeps using real queries and track recall, latency, and memory.
  4. Validate changes on a staging dataset before rolling out to production.

Refer to resources/implementation-playbook.md for detailed patterns, checklists, and templates.

Safety

  • Avoid reindexing in production without a rollback plan.
  • Validate changes under realistic load before applying globally.
  • Track recall regressions and revert if quality drops.

Resources

  • resources/implementation-playbook.md for detailed patterns, checklists, and templates.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

What ships with it: 1 file

14.6 KB alongside SKILL.md

resources/

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