llm-wiki-ingestion-stack
Installation
SKILL.md
LLM-Wiki Ingestion Stack
Goal
Turn messy source material into preserved raw sources, normalized manifests, evaluated extraction artifacts and reviewable wiki drafts without losing provenance or trusting generated summaries as evidence.
Use references/docs/20-ingestion-pipelines.md as the reference architecture for source taxonomy, pipeline archetypes, tool choices, manifests, chunk schemas, quality gates, sync/dedupe and rollout. Use references/templates/source-manifest.yaml as the canonical source manifest shape; do not recreate a partial manifest schema in prose.
When to use
- A batch of PDFs, Office files, scanned documents, web clips, audio/video, code repos, chats/emails or database tables needs to become source-preserving Markdown for the wiki.
- You need a source manifest, provenance/anchor schema, or chunking scheme before any extraction work starts.
- An existing ingestion path is producing empty extractions, table loss, OCR gibberish, orphaned attachments or missing provenance anchors.
- You are deciding incremental sync/dedupe rules or an automation mode (manual batch, watched inbox, PR-based ingest, queue/worker ETL, connector platform).
- You need a golden corpus and ingestion eval plan before wiring CI gates in
llm-wiki-eval-tooling.