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PyMuPDF PDF Parser Clawdbot Skill

Fast local PDF parsing with PyMuPDF (fitz) for Markdown/JSON outputs and optional images/tables. Use when speed matters more than robustness, or as a fallback while heavier parsers are unavailable. Default to single-PDF parsing with per-document output folders.

skill openclawclawhub Free
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High Signal

Fast local PDF parsing with PyMuPDF (fitz) for Markdown/JSON outputs and optional images/tables. Use when speed matters more than robustness, or as a fallback while heavier parsers are unavailable. Default to single-PDF parsing with per-document output folders.

⬇ 0 downloads β˜… 0 stars Unverified but indexed

Install for OpenClaw

Known item issue.

This item's current download entry is known to bounce back to a listing or homepage instead of returning a package file.

Quick setup
  1. Open the source page and confirm the package flow manually.
  2. Review SKILL.md if you can obtain the files.
  3. Treat this source as manual setup until the download is verified.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Manual review
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
README.md, SKILL.md, references/pymupdf-notes.md, scripts/pymupdf_parse.py

Validation

  • Open the source listing and confirm there is a real package or setup artifact available.
  • Review SKILL.md before asking your agent to continue.
  • Treat this source as manual setup until the upstream download flow is fixed.

Install with your agent

Agent handoff

Use the source page and any available docs to guide the install because the item currently does not return a direct package file.

  1. Open the source page via Open source listing.
  2. If you can obtain the package, extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the source page and extracted files.
New install

I tried to install a skill package from Yavira, but the item currently does not return a direct package file. Inspect the source page and any extracted docs, then tell me what you can confirm and any manual steps still required. Then review README.md for any prerequisites, environment setup, or post-install checks.

Upgrade existing

I tried to upgrade a skill package from Yavira, but the item currently does not return a direct package file. Compare the source page and any extracted docs with my current installation, then summarize what changed and what manual follow-up I still need. Then review README.md for any prerequisites, environment setup, or post-install checks.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 6 sections Open source page

Overview

Parse PDFs locally using PyMuPDF for fast, lightweight extraction into Markdown by default, with optional JSON and image/table outputs in a per-document directory.

Prereqs / when to read references

If you hit import errors (PyMuPDF not installed) or Nix libstdc++ issues, read: references/pymupdf-notes.md

Quick start (single PDF)

# Run from the skill directory ./scripts/pymupdf_parse.py /path/to/file.pdf \ --format md \ --outroot ./pymupdf-output

Options

--format md|json|both (default: md) --images to extract images --tables to extract a simple line-based table JSON (quick/rough) --outroot DIR to change output root --lang adds a language hint into JSON output metadata

Output conventions

Create ./pymupdf-output/<pdf-basename>/ by default. Markdown output: output.md JSON output: output.json (includes lang) Images: images/ subdir Tables: tables.json (rough line-based)

Notes

PyMuPDF is fast but less robust on complex PDFs. For more robust parsing, use a heavy-duty OCR parser (e.g., MinerU) if installed.

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
3 Docs1 Scripts
  • SKILL.md Primary doc
  • README.md Docs
  • references/pymupdf-notes.md Docs
  • scripts/pymupdf_parse.py Scripts