Premium skill

Ground your AI SDK agent in real data

Measured retrieval for AI SDK agents: corpus-derived chunking, hybrid search, citations in the UI, and golden-set evals. Prove it works before you ship it.

Plan
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Gated
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Authored files
8

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$ npx skills add … --skill ground-ai-sdk-agent
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Filesystem

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SKILL.mdmarkdown

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What you get

Corpus first, chunking second

Audit formats, structure, and access rules before choosing a chunker, store, or embedding model.

Citations as typed parts

Emit source or data parts from the server and wire them into the chat surface. No markdown scraping.

Measured retrieval

Golden-set recall@k and MRR before and after every ingest or ranking change. Live graders stay opt-in.

ACL in the query

Tenant and role filters run in retrieval code. Cross-tenant leakage fails a deterministic eval.

Ship RAG you can defend

The skill pairs with Better Chat UI for citation surfaces and Build AI SDK Agent Evals for dataset and scorer conventions.

  • A docs chatbot that cites the exact section it used.

  • A support agent that abstains when the knowledge base has no answer.

  • A multi-tenant policy search that cannot leak across companies.

  • An existing RAG stack that answers confidently wrong: diagnose retrieval vs generation with metrics.

Stop shipping vibed retrieval

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