pdf-handling
Extract PDFs to text and images before reading
git clone --depth 1 https://github.com/belumume/claude-skills /tmp/pdf-handling && cp -r /tmp/pdf-handling/plugins/pdf-guard/skills/pdf-handling ~/.claude/skills/pdf-handlingSKILL.md
# PDF Extraction Standard: `python "$CLAUDE_PLUGIN_DIR/scripts/pdf_extract.py" "file.pdf"` Unified: `python "$CLAUDE_PLUGIN_DIR/scripts/pdf_extract_unified.py" "file.pdf"` Read the extracted .txt or _unified.md, not the PDF.
Use when brainstorming a product or feature where multiple valid technology choices exist and the wrong one is costly, when the user asks for 'objectively best' or 'highest quality', or when the domain has tools/frameworks where marketing or popularity biases could mislead research agents. Also use when starting architecture decisions, evaluating tech stacks, or when the user mentions bias, vendor lock-in, hallucinated benchmarks, or wants research-backed decisions rather than default recommendations.
Use when creating or editing documents (DOCX, PDF, XLSX, PPTX) that need professional output. Adds visual verification, typography hygiene, and formula patterns.
Advanced python-docx patterns for nested tables, complex cells, and content extraction beyond .text property. Techniques for forms, checklists, and complex layouts.
Fill DOCX template forms preserving 100% original structure - logos, footers, styles, metadata. Zero-artifact insertion. Output indistinguishable from manual entry.
Use when adding/editing/querying content in an existing Obsidian vault, configuring plugins, integrating Claude Code with Obsidian via Local REST API or CLI, automating ongoing capture/organization/retrieval, designing a personal knowledge management workflow, OR building academic study vaults (course prep, exam-ready, mock-exam content — the durable academic-study patterns from a deprecated companion skill have been folded into this one).
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Activate autonomous Ralph Wiggum loop mode for iterative task completion. Use when you have a well-defined task with clear completion criteria that benefits from persistent, autonomous execution.
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