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.

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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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Use this when

  1. 01A docs chatbot that cites the exact section it used.
  2. 02A support agent that abstains when the knowledge base has no answer.
  3. 03A multi-tenant policy search that cannot leak across companies.
  4. 04An existing RAG stack that answers confidently wrong: diagnose retrieval vs generation with metrics.

What you get

Corpus first
Audit formats and access rules before choosing a chunker, store, or embedding model.
Citations as parts
The server emits source parts. The chat surface renders them. No markdown scraping.
Measured retrieval
Golden-set recall@k and MRR before and after ingest or ranking changes.
ACL in the query
Tenant and role filters run in retrieval code. Cross-tenant leakage fails a test.

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