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SkillHub ClubAnalyze Data & AIFull StackData / AI

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.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
0
Hot score
74
Updated
March 20, 2026
Overall rating
C2.6
Composite score
2.6
Best-practice grade
A85.2

Install command

npx @skill-hub/cli install agentgptsmith-monadframework-hybrid-search-implementation

Repository

agentgptsmith/MonadFramework

Skill path: .claude/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.

Open repository

Best for

Primary workflow: Analyze Data & AI.

Technical facets: Full Stack, Data / AI.

Target audience: Development teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: agentgptsmith.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install hybrid-search-implementation into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/agentgptsmith/MonadFramework before adding hybrid-search-implementation to shared team environments
  • Use hybrid-search-implementation for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

hybrid-search-implementation | SkillHub