Agent Skills
› rmyndharis/antigravity-skills
› hybrid-search-implementation
hybrid-search-implementation
GitHub用于结合向量相似度和关键词搜索以优化检索效果。适用于构建高召回率的RAG系统、混合语义与精确匹配，或处理包含特定术语及领域词汇的查询场景。
触发场景
构建需要提升召回率的RAG系统
实现语义理解与精确匹配的混合搜索
处理包含具体名称或代码的查询
纯向量搜索无法有效匹配关键词时
安装
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.
版本历史
- e63f7dd 当前 2026-07-05 09:33
