doc
Read, create, and edit DOCX files with visual layout validation and professional formatting.
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Install Skill
Run in your terminal
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this week
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stars
What it does
Use python-docx for structured document creation and editing (headings, styles, tables, lists).
Convert DOCX to PDF to PNG for visual inspection of layout, tables, diagrams, and pagination fidelity before delivery.
Includes bundled scripts/render_docx.py helper for rendering; falls back to text extraction if visual tools are unavailable.
Requires python-docx , pdf2image , and system tools
Installation Guide
How to use doc 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 machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
doc
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches doc from openai/skills and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate doc. Access via /doc in your agent's command palette.
Security 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 environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
DOCX Skill
When to use
- Read or review DOCX content where layout matters (tables, diagrams, pagination).
- Create or edit DOCX files with professional formatting.
- Validate visual layout before delivery.
Workflow
- Prefer visual review (layout, tables, diagrams).
- If
sofficeandpdftoppmare available, convert DOCX -> PDF -> PNGs. - Or use
scripts/render_docx.py(requirespdf2imageand Poppler). - If these tools are missing, install them or ask the user to review rendered pages locally.
- If
- Use
python-docxfor edits and structured creation (headings, styles, tables, lists). - After each meaningful change, re-render and inspect the pages.
- If visual review is not possible, extract text with
python-docxas a fallback and call out layout risk. - Keep intermediate outputs organized and clean up after final approval.
Temp and output conventions
- Use
tmp/docs/for intermediate files; delete when done. - Write final artifacts under
output/doc/when working in this repo. - Keep filenames stable and descriptive.
Dependencies (install if missing)
Prefer uv for dependency management.
Python packages:
uv pip install python-docx pdf2image
If uv is unavailable:
python3 -m pip install python-docx pdf2image
System tools (for rendering):
# macOS (Homebrew)
brew install libreoffice poppler
# Ubuntu/Debian
sudo apt-get install -y libreoffice 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 commands
DOCX -> PDF:
soffice -env:UserInstallation=file:///tmp/lo_profile_$$ --headless --convert-to pdf --outdir $OUTDIR $INPUT_DOCX
PDF -> PNGs:
pdftoppm -png $OUTDIR/$BASENAME.pdf $OUTDIR/$BASENAME
Bundled helper:
python3 scripts/render_docx.py /path/to/file.docx --output_dir /tmp/docx_pages
Quality expectations
- Deliver a client-ready document: consistent typography, spacing, margins, and clear hierarchy.
- Avoid formatting defects: clipped/overlapping text, broken tables, unreadable characters, or default-template styling.
- Charts, tables, and visuals must be legible in rendered pages with correct alignment.
- 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
- Re-render and inspect every page at 100% zoom before final delivery.
- Fix any spacing, alignment, or pagination issues and repeat the render loop.
- Confirm there are no leftovers (temp files, duplicate renders) unless the user asks to keep them.
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
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate 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
Related Skills
Reviews
- AAanya Okafor★★★★★Dec 24, 2024
Solid pick for teams standardizing on skills: doc is focused, and the summary matches what you get after install.
- CCharlotte Smith★★★★★Dec 16, 2024
Registry listing for doc matched our evaluation — installs cleanly and behaves as described in the markdown.
- IIshan Anderson★★★★★Dec 16, 2024
doc is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- PPratham Ware★★★★★Dec 8, 2024
doc is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- HHiroshi Khan★★★★★Dec 4, 2024
Solid pick for teams standardizing on skills: doc is focused, and the summary matches what you get after install.
- YYash Thakker★★★★★Nov 27, 2024
doc fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- SSakura Smith★★★★★Nov 23, 2024
doc has been reliable in day-to-day use. Documentation quality is above average for community skills.
- AAanya Sanchez★★★★★Nov 15, 2024
doc has been reliable in day-to-day use. Documentation quality is above average for community skills.
- IIsabella Zhang★★★★★Nov 7, 2024
doc reduced setup friction for our internal harness; good balance of opinion and flexibility.
- KKofi Menon★★★★★Nov 7, 2024
doc fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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