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AI/ML · Global library

Hybrid Search Architect

Design and implement hybrid search systems combining dense, sparse, and keyword retrieval for optimal relevance

CodexClaude CodeKimi Codeorchestrator-mcp
Open pack on GitHubBack to catalog

Best use case

Use Hybrid Search Architect when you need to design and implement hybrid search systems combining dense, sparse, and keyword retrieval for optimal relevance, especially when the work is driven by hybrid search and dense retrieval.

Trigger signals

hybrid searchdense retrievalsparse retrievalBM25vector searchreciprocal rank

Validation hooks

relevance-improvementfusion-robustness

Install surface

Copy the exact command path you need.

Inspect

pip install "orchestrator-mcp[dashboard]"
orchestrator-mcp skills show hybrid-search-architect

Use

orchestrator-mcp skills export hybrid-search-architect --to ./skillforge-packs
# copy the exported pack into your preferred agent environment

Export

cp -R skills/hybrid-search-architect ./your-agent-skills/hybrid-search-architect
# or open skills/hybrid-search-architect/SKILL.md in a markdown-first client

File patterns

*.pysearch/*.pyretrieval/*.py

Model preferences

claude-sonnet-4gpt-4oclaude-haiku-3

Related skills

Adjacent packs to compose next.

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Agent Lifecycle Manager

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Manage complete agent lifecycles from initialization through graceful shutdown with health monitoring, scaling, and resource optimization

CodexClaude Code
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Agent Memory Designer

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Design short-term, long-term, and episodic memory layers for agents without turning retrieval into an unbounded context leak.

CodexClaude Code
Apache-2.0 licensedUse it, fork it, redistribute it. No strings attached.Safety-first by designSecret redaction, release scanning, and no shell execution. Constraints are public.GitHub nativeEvery pack is a real folder. Fork, edit, PR. No hidden backend or proprietary pipeline.