pdf▌
openai/skills · updated Apr 8, 2026
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PDF reading, creation, and validation with visual rendering and programmatic generation.
- ›Render PDF pages to PNG for visual inspection of layout, spacing, and typography before delivery using Poppler ( pdftoppm )
- ›Generate PDFs programmatically with reportlab for reliable formatting; extract text and metadata with pdfplumber or pypdf
- ›Enforce quality standards: no clipped text, overlapping elements, broken tables, or rendering artifacts; ASCII hyphens only, human-readable citations
PDF Skill
When to use
- Read or review PDF content where layout and visuals matter.
- Create PDFs programmatically with reliable formatting.
- Validate final rendering before delivery.
Workflow
- Prefer visual review: render PDF pages to PNGs and inspect them.
- Use
pdftoppmif available. - If unavailable, install Poppler or ask the user to review the output locally.
- Use
- Use
reportlabto generate PDFs when creating new documents. - Use
pdfplumber(orpypdf) for text extraction and quick checks; do not rely on it for layout fidelity. - After each meaningful update, re-render pages and verify alignment, spacing, and legibility.
Temp and output conventions
- Use
tmp/pdfs/for intermediate files; delete when done. - Write final artifacts under
output/pdf/when working in this repo. - Keep filenames stable and descriptive.
Dependencies (install if missing)
Prefer uv for dependency management.
Python packages:
uv pip install reportlab pdfplumber pypdf
If uv is unavailable:
python3 -m pip install reportlab pdfplumber pypdf
System tools (for rendering):
# macOS (Homebrew)
brew install poppler
# Ubuntu/Debian
sudo apt-get install -y poppler-utils
If installation isn't possible in this environment, tell the user which dependency is missing and how to install it locally.
Environment
No required environment variables.
Rendering command
pdftoppm -png $INPUT_PDF $OUTPUT_PREFIX
Quality expectations
- Maintain polished visual design: consistent typography, spacing, margins, and section hierarchy.
- Avoid rendering issues: clipped text, overlapping elements, broken tables, black squares, or unreadable glyphs.
- Charts, tables, and images must be sharp, aligned, and clearly labeled.
- Use ASCII hyphens only. Avoid U+2011 (non-breaking hyphen) and other Unicode dashes.
- Citations and references must be human-readable; never leave tool tokens or placeholder strings.
Final checks
- Do not deliver until the latest PNG inspection shows zero visual or formatting defects.
- Confirm headers/footers, page numbering, and section transitions look polished.
- Keep intermediate files organized or remove them after final approval.
How to use pdf on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add pdf
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches pdf from GitHub repository openai/skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate pdf. Access the skill through slash commands (e.g., /pdf) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★48 reviews- ★★★★★Yusuf Bhatia· Dec 28, 2024
Keeps context tight: pdf is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Ren Sethi· Dec 16, 2024
pdf has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Kofi Sethi· Dec 12, 2024
Solid pick for teams standardizing on skills: pdf is focused, and the summary matches what you get after install.
- ★★★★★Layla Ghosh· Nov 19, 2024
pdf has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Ren Iyer· Nov 7, 2024
Keeps context tight: pdf is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Nia Sharma· Nov 3, 2024
pdf is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Isabella Park· Oct 26, 2024
pdf is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Henry Verma· Oct 22, 2024
Keeps context tight: pdf is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Sakura Jackson· Oct 10, 2024
Solid pick for teams standardizing on skills: pdf is focused, and the summary matches what you get after install.
- ★★★★★Aarav Gonzalez· Sep 17, 2024
Keeps context tight: pdf is the kind of skill you can hand to a new teammate without a long onboarding doc.
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