Process, extract, and manipulate PDF, Excel, Word, and PowerPoint documents programmatically.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add eyadsibai/ltk --skill document-processingCompatible with
Supported agents
Supports four major office formats (PDF, XLSX, DOCX, PPTX) with format-specific tools: pypdf and pdfplumber for PDFs, openpyxl and pandas for Excel, python-docx for Word, python-pptx for PowerPoint
Core operations include text and table extraction, document merging and splitting, format conversion, and OCR for scanned PDFs
Excel-specific guidance emphasizes writing formulas rather than stati
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondocument-processingExecute the skills CLI command in your project's root directory to begin installation:
epx add eyadsibai/ltk --skill document-processingFetches document-processing from eyadsibai/ltk and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/document-processing
Restart Cursor to activate document-processing. Access via /document-processingin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
document-docx
vasilyu1983/ai-agents-public · Documents · tag: document
game-design-document
ityes22/game-design-document · Frontend · tag: document
find-docs
upstash/context7 · Documents · same category
pdf-ocr
yejinlei/pdf-ocr-skill · Documents · same category
nano-pdf
steipete/clawdis · Documents · same category
tencent-docs
zrong/skills · Documents · same category
I recommend document-processing for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: document-processing is focused, and the summary matches what you get after install.
document-processing fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for document-processing matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: document-processing is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend document-processing for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: document-processing is the kind of skill you can hand to a new teammate without a long onboarding doc.
document-processing has been reliable in day-to-day use. Documentation quality is above average for community skills.
document-processing has been reliable in day-to-day use. Documentation quality is above average for community skills.
document-processing is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
showing 1-10 of 68