@modbender/pymupdf
ARender PDF pages to images, extract embedded images, annotate PDFs, and perform advanced PDF inspection using pymupdf (fitz). Use for tasks such as exporting pages as PNG/JPG, extracting images embedded in a PDF, drawing annotations, redacting content, or when high-fidelity rendering is required. For text extraction, splitting, merging, or rotating PDFs, use the pypdf skill instead.
Install
agr install @modbender/pymupdf --target claudeWrites 1 file into .claude/skills/, pinned to git-dcc0ca46.
- .claude/skills/pymupdf/SKILL.md
Document
name: pymupdf description: Render PDF pages to images, extract embedded images, annotate PDFs, and perform advanced PDF inspection using pymupdf (fitz). Use for tasks such as exporting pages as PNG/JPG, extracting images embedded in a PDF, drawing annotations, redacting content, or when high-fidelity rendering is required. For text extraction, splitting, merging, or rotating PDFs, use the pypdf skill instead. metadata: openclaw: requires: bins: - python3
pymupdf
Use scripts/pymupdf_cli.py for deterministic pymupdf operations instead of ad-hoc fitz snippets.
Workflow
- Confirm the PDF file path is accessible locally.
- Run the desired command (export-images, extract-images, info).
- Inspect the output directory or stdout.
Command Guide
- Export pages as images:
python scripts/pymupdf_cli.py export-images --input <file.pdf> --output-dir <dir/>- Override format:
--format png(default),jpg, orppm. - Override resolution:
--dpi 300(default: 150). - Restrict to specific pages:
--pages 0 1 2.
- Extract images embedded inside a PDF:
python scripts/pymupdf_cli.py extract-images --input <file.pdf> --output-dir <dir/>- Optionally restrict to specific pages:
--pages 0 1 2.
- Inspect page dimensions and basic document info:
python scripts/pymupdf_cli.py info --input <file.pdf>
Operational Rules
- Pages are always 0-indexed in all commands.
export-imagesrenders each page as a raster image at the specified DPI.extract-imagessaves raw image streams embedded in the PDF (e.g. photos, logos); output filenames include page index and image index.- Install dependency if missing:
pip install pymupdf. - For text extraction, splitting, merging, or rotating PDFs, use the pypdf skill instead.
Repository README
Describes modbender/skill-library-mcp as a whole, which may contain artifacts other than this one. Where this artifact had no useful description of its own, its summary was taken from here.
Skill Library MCP
15,000+ ready-to-use skills for AI coding assistants, served on demand via MCP.
An MCP server that provides on-demand skill loading for AI coding assistants. Instead of stuffing your system prompt with every skill you might need, this server indexes 15,000+ skills and serves only the ones relevant to your current task — keeping context windows lean and responses focused.
Documentation
Full documentation is at modbender.in/skill-library-mcp — installation, the tools it exposes, configuration, and examples.
Why?
- 15,000+ skills covering frontend, backend, DevOps, security, testing, databases, AI/ML, automation, and more
- On-demand loading — skills are fetched only when needed, not crammed into every conversation
- IDF-weighted search — finds the right skill even from natural language queries like "help me debug a memory leak"
- Browse by category — 13 categories to discover skills you didn't know existed
- Works with any MCP-compatible tool — Claude Code, Cursor, Windsurf, VS Code, Claude Desktop, and others
- Claude Code plugin — one-command install with
claude plugin install - Zero config — run with
npx, no setup needed
Quick Start
Claude Code Plugin (Recommended)
Add the marketplace source, then install the plugin:
claude plugin marketplace add https://github.com/modbender/skill-library-mcp.git --scope user
claude plugin install skill-library --scope user
The MCP server starts automatically when Claude Code launches. No manual configuration needed.
Claude Code (MCP Server)
claude mcp add skill-library --scope user -- npx -y skill-library-mcp
MCP Server (Other Tools)
Add to your claude_desktop_config.json (location varies by OS):
{
"mcpServers": {
"skill-library": {
"command": "npx",
"args": ["-y", "skill-library-mcp"]
}
}
}
Add to .cursor/mcp.json (project) or ~/.cursor/mcp.json (global):
{
"mcpServers": {
"skill-library": {
"command": "npx",
"args": ["-y", "skill-library-mcp"]
}
}
}
Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"skill-library": {
"command": "npx",
"args": ["-y", "skill-library-mcp"]
}
}
}
Add to .vscode/mcp.json:
{
"servers": {
"skill-library": {
"command": "npx",
"args": ["-y", "skill-library-mcp"]
}
}
}
git clone https://github.com/modbender/skill-library-mcp
cd skill-library-mcp
pnpm install
pnpm build
Then point your MCP config to the built binary:
{
"mcpServers": {
"skill-library": {
"command": "node",
"args": ["/path/to/skill-library-mcp/dist/index.js"]
}
}
}
Tools
search_skill
Search for skills by keyword. Returns a ranked list of matching skill names and descriptions.
search_skill({ query: "react patterns" })
load_skill
Load the full content of a skill by name. Optionally includes resource files.
load_skill({ name: "brainstorming", include_resources: true })
list_categories
Browse all skill categories with counts and examples. Use to discover skills before searching.
list_categories()
Skill Categories
The library includes 15,000+ skills across 13 categories:
| Category | Examples |
|---|---|
| Frontend | React patterns, Angular, Vue, Svelte, Next.js, Tailwind, accessibility |
| Backend | Node.js, FastAPI, Django, NestJS, Express, GraphQL, REST API design |
| AI & LLM | LLM app dev, RAG implementation, agent patterns, prompt engineering, embeddings |
| DevOps & Infra | Terraform, Kubernetes, Docker, AWS, GCP, Azure, CI/CD |
| Data & Databases | PostgreSQL, MongoDB, Redis, SQL optimization, ETL pipelines, analytics |
| Security | Penetration testing, OWASP, threat modeling, vulnerability scanning, encryption |
| Testing | TDD workflows, Playwright, Vitest, Jest, E2E testing patterns |
| Mobile | React Native, Flutter, iOS, Android, Expo |
| Automation | Workflow automation, n8n, Zapier, web scraping, bots |
| Python | Django, Flask, FastAPI, pandas, Python tooling |
| TypeScript & JS | TypeScript, JavaScript, Deno, Bun |
| Architecture | Microservices, system design, design patterns, monorepos |
| Other | Hundreds of specialized and niche skills |
Skill Format
Skills are directories containing a SKILL.md file with YAML frontmatter:
---
name: my-skill
description: What this skill does
---
# My Skill
Skill content here...
Skills can optionally include a resources/ directory with additional .md files that are appended when include_resources: true is set.
Contributing
Contributions are welcome! To add a new skill:
- Create a directory under
data/with your skill name - Add a
SKILL.mdfile with YAML frontmatter (name,description) - Run
pnpm dedupto check for duplicates - Submit a PR
Development
pnpm install # Install dependencies
pnpm test # Run tests
pnpm build # Build to dist/
pnpm dev # Run server locally
pnpm dedup # Check for duplicate skills
pnpm validate-skills # Validate data/ directory structure
pnpm fix-skills # Fix broken skills (dry run by default)
pnpm clean-skills # Remove invalid skill dirs (dry run by default)
make ci # Run test + validate + build
Third-Party Content
This project includes skills from openclaw/skills, licensed under the MIT License. See THIRD_PARTY_NOTICES.md for details.
License
Trustgrade A
- passBody integrity
Whether the stored document is plausibly the kind of file the artifact declares, rather than something fetched by mistake.
- passType matchnot applicable to this artifact type
Whether the artifact is really the kind of thing its metadata claims it is.
- passFreshness
How long since the source repository was last pushed to.
- passPrompt injection
Scans the artifact's own text for instructions aimed at your agent rather than at you.
- passLicense
Whether the source repository declares an SPDX license permissive enough to redistribute.
How the grade is calculated
Each check contributes 0 points when it passes, 1 when it warns, and 2 when it fails. The total maps to a letter:
- Aevery check passed
- Bone warning
- Ctwo warnings
- Dprompt injection or body integrity failed, or three warnings
- Fone of those failed, and something else is wrong
These are automated hygiene checks, not a security audit, and not a dependency or vulnerability scan. A grade of A means nothing was flagged — not that the artifact is safe.
Versions
git-dcc0ca46fbba2026-07-31