claude

Knowledge Fabric

Ingestion, tagging, chunking, redaction and retrieval quality auditing for the shared RAG knowledge store.

0 on GitHubby Quality Engineering Platform Teamv3.3.0MITupdated 3 months agointelligence
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Plugin qa-knowledge-fabric from marketplace qz-agent-clusters in Qualizeal/skills. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (5)

  • artefact-ingestion

    Canonical front-matter schema and provenance requirements for admitting a document into the shared QA knowledge store. Use when ingesting a spec, runbook, post-mortem, test plan or decision record into the knowledge base.

  • redaction-policy

    What must never enter the knowledge store — credentials, production personal data, customer names, internal-only URLs — and the stop-and-report rule when any is found. Use before writing any artefact into the shared corpus.

  • retrieval-chunking

    How to split documents on semantic boundaries with heading breadcrumbs preserved, so a retrieved fragment still carries its context. Use when preparing a document for indexing or when retrieval returns the right document but the wrong passage.

  • retrieval-quality-audit

    Diagnose degraded retrieval by attributing failures to chunking, tagging, coverage, ranking or staleness, and review which workflows the corpus can actually answer. Use when retrieval quality is the complaint or during a quarterly coverage review.

  • tagging-vocabulary

    The controlled tag vocabulary — domain, component, test-level, lifecycle-stage, sensitivity — and the rule against inventing tags. Use when tagging or classifying an artefact, or when filtered retrieval is failing to find documents that exist.

Subagents (1)

  • knowledge-fabric-curator

    Ingests, structures, tags and enriches artefacts into the shared QA knowledge store that RAG retrieval depends on. Use when adding test docs, runbooks, defect post-mortems or specs to the knowledge base, or when retrieval quality has degraded.

View source on GitHub

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