Agent-Skills.md

Agent Skills: Hybrid Search Implementation

Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.

UncategorizedID: rmyndharis/antigravity-skills/hybrid-search-implementation

Repository

rmyndharis/antigravity-skills
rmyndharisLicense: MIT
20630

Install this agent skill to your local

pnpm dlx add-skill https://github.com/rmyndharis/antigravity-skills/tree/HEAD/skills/hybrid-search-implementation

Skill Files

Browse the full folder contents for hybrid-search-implementation.

Download Skill

Loading file tree…

skills/hybrid-search-implementation/SKILL.md

Skill Metadata

Name
hybrid-search-implementation
Description
Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.

Hybrid Search Implementation

Patterns for combining vector similarity and keyword-based search.

Use this skill when

  • Building RAG systems with improved recall
  • Combining semantic understanding with exact matching
  • Handling queries with specific terms (names, codes)
  • Improving search for domain-specific vocabulary
  • When pure vector search misses keyword matches

Do not use this skill when

  • The task is unrelated to hybrid search implementation
  • You need a different domain or tool outside this scope

Instructions

  • Clarify goals, constraints, and required inputs.
  • Apply relevant best practices and validate outcomes.
  • Provide actionable steps and verification.
  • If detailed examples are required, open resources/implementation-playbook.md.

Resources

  • resources/implementation-playbook.md for detailed patterns and examples.