Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
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.
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.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
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.
If you hit import errors (PyMuPDF not installed) or Nix libstdc++ issues, read: references/pymupdf-notes.md
# Run from the skill directory ./scripts/pymupdf_parse.py /path/to/file.pdf \ --format md \ --outroot ./pymupdf-output
--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
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)
PyMuPDF is fast but less robust on complex PDFs. For more robust parsing, use a heavy-duty OCR parser (e.g., MinerU) if installed.
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.