Knowledge retrieval pipeline review
Skill jukrap/ai-agent-playbook/skills/data/knowledge-retrieval-pipeline-review
Reusable AI agent skills, project templates, and guardrails for safer software maintenance and delivery.
npx -y skills add jukrap/ai-agent-playbook --skill knowledge-retrieval-pipeline-reviewAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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Use when reviewing document ingestion, parsing, chunking, metadata, deduplication, embeddings, vector stores, retrieval quality, citations, or stale RAG/search indexes.
SKILL.md
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Knowledge Retrieval Pipeline Review
Use this as the primary data skill for document ingestion, retrieval pipelines, RAG/search indexes, and citation handoff.
Workflow
- Identify source documents, access control, parsing, chunking, metadata, deduplication, freshness, embedding/index boundary, and retrieval consumers.
- Check source provenance, private content handling, invalidation, stale chunks, permissions, evaluation set, citation behavior, and fallback states.
- Keep embedding/vector providers optional and disabled by default unless privacy, cost, and invalidation rules are explicit.
- Verify with source inventory, sampled chunks, retrieval tests, citation checks, access-control checks, and stale-index handling when possible.
Reference
Read references/document-ingestion-and-chunking.md for source loading, parsing, chunking, metadata, and dedup checks.
Read references/retrieval-evaluation-and-safety.md for retrieval evaluation, citations, permissions, stale indexes, and provider boundaries.