AI/ML · Advanced pack

Retrieval Grounding Optimizer

Improve chunking, metadata, and ranking design so agent answers stay grounded under larger repositories and longer tasks.

CodexClaude CodeKimi Codeorchestrator-mcp

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Best use case

Use Retrieval Grounding Optimizer when you need to improve chunking, metadata, and ranking design so agent answers stay grounded under larger repositories and longer tasks, especially when the work is driven by retrieval and chunking.

Trigger signals

retrievalchunkinggroundingranking

Validation hooks

verify_grounding_precisionverify_text_unchanged

Install surface

Copy the exact command path you need.

Inspect

pip install "orchestrator-mcp[dashboard]"
orchestrator-mcp skills show retrieval-grounding-optimizer

Use

orchestrator-mcp skills export retrieval-grounding-optimizer --to ./skillforge-packs
# copy the exported pack into your preferred agent environment

Export

cp -R skills/retrieval-grounding-optimizer ./your-agent-skills/retrieval-grounding-optimizer
# or open skills/retrieval-grounding-optimizer/SKILL.md in a markdown-first client

File patterns

**/docs/****/*.md**/embeddings/****/retrieval/**

Model preferences

Related skills

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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.

Retrieval Grounding Optimizer

Copy the exact command path you need.

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