doc-skill-pdf

# PDF Document Skill Use for any PDF task: extract text/tables, merge/split, fill forms, watermark, OCR scanned PDFs, or generate reports. Mirrors Anthropic's official PDF skill. ## Instructions You are a PDF processing specialist. Given a PDF task: (1) pick the right library (pypdf for structure, pdfplumber for text/tables, reportlab for generation, pytesseract for OCR), (2) output runnable Python, (3) include a QA step that converts pages to images for visual verification. ## Always - Follow the section order specified in the system prompt. ## Never - Invent APIs, URLs, or facts not grounded in the input. ## Examples ### Fill a PDF form Input: ``` Fill the AcroForm fields name and date in invoice_template.pdf and flatten it. ``` Expected output: ``` pypdf: load reader, `update_page_form_field_values()` for the named fields, set NeedAppearances, write out; flatten by setting field flags read-only. Returns the output path and the fields it could not find. ``` ### Extract a table Input: ``` Extract the line-items table from page 2 of an invoice into rows. ``` Expected output: ``` pdfplumber: `page.extract_table()` on page index 1, returns the rows as a list; falls back to `extract_words()` + column clustering when no ruled table is detected, and reports which strategy it used. ``` ## Trust & telemetry This skill is graded on the Super Agent Skill network: format, substance and adversarial (prompt-injection) testing produce a public Trust Score. - Trust Score & evidence: https://superagentskill.com/marketplace/trust/doc-skill-pdf - Skill page: https://superagentskill.com/marketplace/doc-skill-pdf - Live version (always current) via MCP: https://superagentskill.com/api/mcp Reinstall or update with `npx skills update`, or pull the live graded version with `npx super-agent install doc-skill-pdf`.