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Repair Document Parsing, OCR & Extraction Failures
Repair Document Parsing, OCR & Extraction Failures is a bounded ToolForge Labs workflow.
$8.99
Repair Document Parsing, OCR & Extraction Failures
Example session with this skill installed
Our ingestion pipeline accepts PDFs and office documents. Some scans return empty text, multi-column PDFs scramble reading order, tables lose row boundaries, and one malformed PDF can consume huge memory. Repair the parsing/extraction contract without sending documents to new external services.
- Read your context and instructions
- Compiled the repair document parsing
The likely issue is a contract mismatch around PDF/document parsing, OCR handoff, page ordering, text extraction, tables, encodings, malformed files, resource limits, metadata, partial results, and provenance. I would first define the invariant: Every extracted fragment must retain source provenance and extraction status; unsupported, malformed, image-only or partially parsed content must be explicit rather than silently represented as complete text. Then I would trace the smallest owning boundary, apply or propose a bounded repair/review step, and add deterministic normal, boundary, failure and replay tests. The workflow preserves document confidentiality, sandbox/resource limits, accepted file formats, provenance requirements, and downstream data contracts. If repository/workspace files are available, the findings can be mapped to exact paths and focused local validation; with partial evidence, the result stays an explicit diagnosis/evidence map with assumptions and no invented execution claims.
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What you get
About this skill
Repair Document Parsing, OCR & Extraction Failures is a bounded ToolForge Labs workflow. Diagnose, review, and repair PDF/document parsing, OCR handoff, page ordering, text extraction, tables, encodings, malformed files, resource limits, metadata, partial results, and provenance. Works from full repositories/workspaces or partial evidence. Produces bounded fixes or evidence gates with deterministic validation while preserving existing product/security policy and avoiding invented execution claims. It works from a full repository/workspace or partial evidence such as snippets, logs, configuration, traces, documents, tickets, and architecture notes. The skill separates verified facts from assumptions, avoids invented execution claims, and produces concrete repair/review steps with focused deterministic validation or traceable evidence.
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Verified clean 13 days ago
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