Agent Skills
› rmyndharis/antigravity-skills
› hybrid-search-implementation
hybrid-search-implementation
GitHub提供结合向量相似度和关键词搜索的实现模式，用于构建RAG系统或搜索引擎，提升检索召回率。适用于需同时处理语义理解与精确匹配的场景，解决纯向量搜索遗漏特定术语的问题。
Trigger Scenarios
构建RAG系统
实现混合搜索引擎
需要结合语义和关键词匹配
Install
npx skills add rmyndharis/antigravity-skills --skill hybrid-search-implementation -g -y
SKILL.md
Frontmatter
{
"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.mdfor detailed patterns and examples.
Version History
- e63f7dd Current 2026-07-05 09:33
