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Generate boilerplate `# implements:` annotation for a function based on the artefact ID, inserting it as the first line of the function body.
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Based on SOC occupation classification
Parallel map-reduce bulk ingest for large source sets. Map phase dispatches read-only knowledge-extractor agents (≤N-wide, default Haiku) emitting per-source JSON extracts; Python routes extracts by target library file (fuzzy-merging new topics, pre-allocating new files, flagging oversized topics); reduce phase dispatches one agent-knowledge-updater per file (parallel, one writer per file); single shelf-index rebuild + one log.md entry. Resumable. Supersedes kb-ingest-batch.
Initialise a project for knowledge base use. Appends the [Knowledge Base] section to the project's CLAUDE.md, creates the library/ directory structure, optionally seeds with three example library files from the Agentic SDLC research, and reports next steps. Run once after installing sdlc-knowledge-base.
Drive agent-knowledge-updater over a batch of staged files in library/raw/. Tracks progress in .batch-progress.json for resume support. Sequential by default; --parallel <N> opt-in (max 5). Single shelf-index rebuild and one consolidated log.md entry at the end.
Health-check the project knowledge base. Looks for contradictions between files, stale claims that newer sources have superseded, orphan files with no inbound cross-references, important concepts mentioned but lacking their own page, missing cross-references, and data gaps. Returns a structured report; does not auto-fix.
Stage source files into library/raw/, converting non-markdown formats via markitdown (PDF/DOCX/PPTX/XLSX/HTML/CSV) or pandoc (TeX/EPUB/RST/ORG). Adds provenance frontmatter. No agent dispatch.
Pure-Python knowledge base statistics dashboard. Reads shelf-index and log.md; emits Inventory, Layer distribution, Domain distribution, Recent Activity, and Staleness sections. No agent dispatch. Read-only.
| name | code-annotate |
| description | Generate boilerplate `# implements:` annotation for a function based on the artefact ID, inserting it as the first line of the function body. |
Use this skill when adding implementation code that satisfies a REQ or DES. Generates the correct # implements: annotation, validates that the cited IDs exist in the registry, and inserts the annotation in a syntactically-correct place.
<artefact-id> — the REQ or DES being implemented (e.g., REQ-auth-001, DES-auth-001, or P1.SP2.M3.REQ-007)Verify the artefact exists. Read library/_ids.md; confirm <artefact-id> is declared.
Detect the language. Python (#), JavaScript/TypeScript (//), Go (//), Rust (//). Default # if unknown.
Determine the comment line. Choose the comment syntax matching the file extension.
Insert the annotation. Place <comment-prefix> implements: <artefact-id> as the first line of the function body, immediately after the opening brace / : / func ... {.
Confirm. Show the diff to the user.
Run annotation_format_integrity on the file to verify the annotation parses correctly.
<!-- implements: <DES-ID> --> and # implements: <DES-ID> annotations ALWAYS go on the implementing artefact:
---, HTML-comment formsatisfies_by_existence: [...] or implements: [...]NEVER place annotations:
The spec layer expresses obligation; the implementing artefact carries evidence. Crossing the layers blurs the audit trail.