Premium skill
Ingest messy documents with measured fidelity
Gets messy sources into faithful structured text: sampled fidelity audits, parsing strategy per document class, lossless tables, a normalized contract with provenance, and golden-sample fidelity evals.
Install
Install with skills CLIPremium skills install through a short-lived private link.
$ npx skills add … --skill ingest-messy-documentsOpen Premium install
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Filesystem
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File tree for ingest-messy-documents stays visible so you can see the pack before unlocking.
Use this when
- 01A RAG chatbot that was confidently wrong because PDF text layers were empty on scans.
- 02A table-heavy policy corpus where OCR scrambled cell values until a lossless table path shipped.
- 03Feeding Ground so citations still open the source page after messy PDFs are normalized.
- 04Monthly document updates where unchanged files skip re-parse and deletes finally leave the index.
What you get
- Checks fidelity first
- Sample the corpus and compare extracted text to the rendered page.
- Strategy per class
- Text layer, OCR, vision, or hybrid from sample evidence.
- Keeps tables as tables
- Reading order, headings, and cells with provenance. Never flow grids into prose.
- One contract for consumers
- Stable ids, content hashes, and citation provenance for Ground and Extract.
Unlock the files
Available with Premium. The private install link expires; the downloaded skill does not. Generate a fresh link when you want to update it.
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