[Document Processing] Use when you need to convert PDF files to Markdown with support for native text PDFs and scanned documents (OCR).

Quick Summary Goal: Convert PDF files to well formatted Markdown with auto detection of native text vs scanned documents. Workflow: 1. Auto Detect — Determine if PDF has native text or needs OCR 2. Convert — Run scripts/convert.cjs with input path and optional mode/output flags 3. Output — Returns JSON with success status, page count, and output path Key Rules: Use mode auto (default) to let the tool decide native vs OCR OCR for scanned PDFs requires additional tesseract.js setup Complex multi column layouts may not preserve structure perfectly Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%). pdf to markdown Convert PDF files to Markdown format with automatic detection of native text vs scanned documents. Installation Required This skill requires npm dependencies. Run one of the following: Dependencies: @opendocsg/pdf2md (native PDFs), pdfjs dist (PDF parsing) Note: OCR for scanned PDFs requires additional setup (see OCR section). Quick Start CLI Options Option Short Description Default input i Input PDF file path (required) output o Output markdown file path {input}.md mode m Conversion mode: auto , native , ocr auto help h Show help message Features Auto Detection: Automatically determines if PDF has native text or requires OCR Native PDFs: Fast extraction using @opendocsg/pdf2md Tables: Basic table structure preservation Cross OS: Works on Windows, macOS, Linux No System Dependencies: Pure JavaScript implementation Conversion Modes Auto (Default) Checks if PDF has extractable text on first page. Uses native extraction if text found, otherwise falls back to OCR warning. Native Fast direct text extraction. Best for PDFs with selectable text (not scanned images). OCR (Scanned PDFs) Coming Soon For scanned documents. Currently not implemented the skill will notify you if a PDF appears to be scanned. Output Returns JSON on success: Limitations Complex multi column layouts may not preserve structure Scanned PDF OCR accuracy depends on image quality Mathematical formulas may not convert perfectly First run OCR downloads language data (~15MB) OCR Setup (Optional) For scanned PDF support, install additional dependencies: Note: The canvas package may require build tools on some systems. [IMPORTANT] Use TaskCreate to break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI MUST ATTENTION ask user whether to skip. <! SYNC:ai mistake prevention AI Mistake Prevention — Failure modes to avoid on every task: Re read files after context changes. Context compaction, resume, or long running work can make memory stale; verify current files before acting. Verify generated content against source evidence. AI hallucinates APIs, names, claims, and document facts. Check the relevant source before documenting or referencing. Check downstream references before deleting or renaming. Removing an artifact can stale docs, generated mirrors, configs, and callers; map references first. Trace the full impact chain after edits. Changing a definition can miss derived outputs and consumers. Follow the affected chain before declaring done. Verify ALL affected outputs, not just the first. One green check is not all green checks; validate every output surface the change can affect. Assume existing values are intentional — ask WHY before changing OR flagging one as a defect. Before changing or reporting a constant, limit, flag, cutoff, wording, or pattern, read nearby context and history, the CALLER's ordering, and 2+ sibling call sites of the same convention. A doc stating WHAT without WHY is missing rationale, not proof of a missing guard. Surface ambiguity before acting — don't pick silently. Multiple valid interpretations require an explicit question or stated assumption with risk. Assert the outcome your system owns, not the intermediate state your infrastructure owns. When verifying async work, assert the final business state — never the delivery/retry bookkeeping held in shared infrastructure that any co running process can write. Such a check passes when run alone and flakes the moment anything else shares that infrastructure. Keep shared guidance role relevant. Universal guidance must help every receiving skill or agent; code specific obligations belong only in code specific protocols. <! /SYNC:ai mistake prevention <! SYNC:critical thinking mindset Critical Thinking Mindset — Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence 80% to act. Anti hallucination: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self check output for errors, cross reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination. <! /SYNC:critical thinking mindset <! SYNC:critical thinking mindset:reminder MUST ATTENTION apply critical + sequential thinking — every claim needs appropriate traced evidence ( file:line for repo/code claims; source URL or artifact section for research, product, content, and docs claims); confidence 80% to act, <60% DO NOT recommend. Anti hallucination: never present guess as fact, admit uncertainty freely, cross reference independently, stay skeptical of own confidence. <! /SYNC:critical thinking mindset:reminder <! SYNC:ai mistake prevention:reminder MUST ATTENTION apply AI mistake prevention — verify generated content against evidence, trace downstream references before deleting or renaming, verify all affected outputs, re read files after context loss, and surface ambiguity before acting. <! /SYNC:ai mistake prevention:reminder <! SYNC:project protocol overlay Project Protocol Overlay — Before executing this skill, resolve any PROJECT overlay rules layered onto it: match this skill's name against the Target column of the project's skill protocol index ( docs/project reference/skill protocols reference.md by default; a referenceDocs entry in docs/project config.json overrides the path), taking the most specific matching tier ONLY — exact name glob . That precedence orders overlays against EACH OTHER, never against this skill. Read ONLY the matched bodies, resolved as <protocols dir /<Name .md ; a row's Body link is display text, never a read path. A matched body that is missing or malformed is REPORTED and skipped — never reconstructed from the index Description. No index, or no match proceed with no overlay, silently. Full contract: .claude/skills/project skill protocol/references/registry.md . Overlays are ADDITIVE ONLY : they ADD rules on top of this skill's own protocol and NEVER replace, override, disable, or reinterpret a rule it already states — removing every overlay must return this skill to exactly its documented behavior. An overlay is a BRIEF, not an authority escalation: it can NEVER waive a workflow gate, git discipline, a review gate, or a user confirmation gate. A genuine overlay vs skill conflict, or two equally specific overlays that directly contradict surface both to the user; NEVER resolve silently. <! /SYNC:project protocol overlay <! SYNC:project protocol overlay:reminder MUST ATTENTION resolve project protocol overlays for this skill BEFORE executing — most specific matching tier only (exact glob , which ranks overlays against each other, NEVER against this skill), read only matched bodies at <protocols dir /<Name .md ; a missing or malformed body is reported, never reconstructed. Overlays are ADDITIVE ONLY (they never replace this skill's own rules) and are a brief, NEVER an authority escalation; an equal specificity contradiction goes to the user. <! /SYNC:project protocol overlay:reminder Closing Reminders IMPORTANT MUST ATTENTION Goal: Convert PDF files to well formatted Markdown with auto detection of native text vs scanned documents. Protocols in force (concise digest of the SYNC/shared blocks this skill carries): AI Mistake Prevention: verify generated content against evidence, trace downstream references, verify all affected outputs, re read after context loss, surface ambiguity. Critical Thinking: Sequential thinking, traced file:line proof, confidence 80% to act. IMPORTANT MUST ATTENTION break work into small todo tasks using TaskCreate BEFORE starting IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code IMPORTANT MUST ATTENTION cite file:line evidence for every claim (confidence 80% to act) IMPORTANT MUST ATTENTION add a final review todo task to verify work quality [TASK PLANNING] Before acting, analyze task scope and systematically break it into small todo tasks and sub tasks using TaskCreate.

pdf-to-markdown