hybrid-search-implementation
๐ฏSkillfrom wshobson/agents
|A production-ready plugin system with 112 AI agents, 146 skills, 16 workflow orchestrators, and 79 development tools organized into 73 focused plugins for Claude Code.
Overview
Hybrid Search Implementation is a specialized agent skill within the wshobson/agents plugin ecosystem for Claude Code. It is part of a comprehensive system of 112 specialized AI agents, 146 agent skills, and 79 development tools organized into 73 focused, single-purpose plugins. The skill provides expertise on hybrid search implementation patterns through progressive disclosure, loading knowledge only when activated to minimize token usage.
Key Features
- Progressive Disclosure - Loads hybrid search knowledge only when activated for efficient token consumption
- Data/AI Domain Expertise - Part of the data and AI category covering combined keyword and semantic search approaches
- Multi-Agent Orchestration - Integrates with 16 workflow orchestrators for complex ML pipeline operations
- Composable Design - Can be combined with similarity search, vector index, and embedding plugins for comprehensive search systems
- Marketplace Installation - Available through the wshobson/agents marketplace for selective plugin loading
Who is this for?
This skill is designed for developers and search engineers building search systems that combine traditional keyword-based search with vector-based semantic search. It is particularly useful for teams implementing retrieval-augmented generation (RAG) systems or enterprise search solutions that need both precision and semantic understanding.
Same repository
wshobson/agents(234 items)
Installation
npx vibeindex add wshobson/agents --skill hybrid-search-implementationnpx skills add wshobson/agents --skill hybrid-search-implementation~/.claude/skills/hybrid-search-implementation/SKILL.mdSKILL.md
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