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    Repair Document Parsing, OCR & Extraction Failures

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    Repair Document Parsing, OCR & Extraction Failures is a bounded ToolForge Labs workflow.

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    Repair Document Parsing, OCR & Extraction Failures

    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.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Repair broken multi-column text extraction logicFix OCR handoff gates for scanned document imagesDebug Unicode and encoding errors in malformed PDFsImplement deterministic validation for document provenance

    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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    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
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    Verified clean 13 days ago

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    Listed13 days ago

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