document-processing▌
eyadsibai/ltk · updated Apr 8, 2026
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Process, extract, and manipulate PDF, Excel, Word, and PowerPoint documents programmatically.
- ›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
Document Processing Guide
Work with office documents: PDF, Excel, Word, and PowerPoint.
Format Overview
| Format | Extension | Structure | Best For |
|---|---|---|---|
| Binary/text | Reports, forms, archives | ||
| Excel | .xlsx | XML in ZIP | Data, calculations, models |
| Word | .docx | XML in ZIP | Text documents, contracts |
| PowerPoint | .pptx | XML in ZIP | Presentations, slides |
Key concept: XLSX, DOCX, and PPTX are all ZIP archives containing XML files. You can unzip them to access raw content.
PDF Processing
PDF Tools
| Task | Best Tool |
|---|---|
| Basic read/write | pypdf |
| Text extraction | pdfplumber |
| Table extraction | pdfplumber |
| Create PDFs | reportlab |
| OCR scanned PDFs | pytesseract + pdf2image |
| Command line | qpdf, pdftotext |
Common Operations
| Operation | Approach |
|---|---|
| Merge | Loop through files, add pages to writer |
| Split | Create new writer per page |
| Extract tables | Use pdfplumber, convert to DataFrame |
| Rotate | Call .rotate(degrees) on page |
| Encrypt | Use writer's .encrypt() method |
| OCR | Convert to images, run pytesseract |
Excel Processing
Excel Tools
| Task | Best Tool |
|---|---|
| Data analysis | pandas |
| Formulas & formatting | openpyxl |
| Simple CSV | pandas |
| Financial models | openpyxl |
Critical Rule: Use Formulas
| Approach | Result |
|---|---|
| Wrong: Calculate in Python, write value | Static number, breaks when data changes |
| Right: Write Excel formula | Dynamic, recalculates automatically |
Financial Model Standards
| Convention | Meaning |
|---|---|
| Blue text | Hardcoded inputs |
| Black text | Formulas |
| Green text | Links to other sheets |
| Yellow fill | Needs attention |
Common Formula Errors
| Error | Cause |
|---|---|
| #REF! | Invalid cell reference |
| #DIV/0! | Division by zero |
| #VALUE! | Wrong data type |
| #NAME? | Unknown function name |
Word Processing
Word Tools
| Task | Best Tool |
|---|---|
| Text extraction | pandoc |
| Create new | python-docx or docx-js |
| Simple edits | python-docx |
| Tracked changes | Direct XML editing |
Document Structure
| File | Contains |
|---|---|
word/document.xml |
Main content |
word/comments.xml |
Comments |
word/media/ |
Images |
Tracked Changes (Redlining)
| Element | XML Tag |
|---|---|
| Deletion | <w:del><w:delText>...</w:delText></w:del> |
| Insertion | <w:ins><w:t>...</w:t></w:ins> |
Key concept: For professional/legal documents, use tracked changes XML rather than replacing text directly.
PowerPoint Processing
PowerPoint Tools
| Task | Best Tool |
|---|---|
| Text extraction | markitdown |
| Create new | pptxgenjs (JS) or python-pptx |
| Edit existing | Direct XML or python-pptx |
Slide Structure
| Path | Contains |
|---|---|
ppt/slides/slide{N}.xml |
Slide content |
ppt/notesSlides/ |
Speaker notes |
ppt/slideMasters/ |
Master templates |
ppt/media/ |
Images |
Design Principles
| Principle | Guideline |
|---|---|
| Fonts | Use web-safe: Arial, Helvetica, Georgia |
| Layout | Two-column preferred, avoid vertical stacking |
| Hierarchy | Size, weight, color for emphasis |
| Consistency | Repeat patterns across slides |
Converting Between Formats
| Conversion | Tool |
|---|---|
| Any → PDF | LibreOffice headless |
| PDF → Images | pdftoppm |
| DOCX → Markdown | pandoc |
| Any → Text | Appropriate extractor |
Best Practices
| Practice | Why |
|---|---|
| Use formulas in Excel | Dynamic calculations |
| Preserve formatting on edit | Don't lose styles |
| Test output opens correctly | Catch corruption early |
| Use tracked changes for contracts | Audit trail |
| Extract to markdown for analysis | Easier to process |
Common Packages
| Language | Packages |
|---|---|
| Python | pypdf, pdfplumber, openpyxl, python-docx, python-pptx |
| JavaScript | docx, pptxgenjs |
| CLI | pandoc, qpdf, pdftotext, libreoffice |
How to use document-processing 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 document-processing
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches document-processing from GitHub repository eyadsibai/ltk 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 document-processing. Access the skill through slash commands (e.g., /document-processing) 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
4.6★★★★★68 reviews- ★★★★★Hana Mensah· Dec 28, 2024
I recommend document-processing for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Anika Haddad· Dec 20, 2024
Solid pick for teams standardizing on skills: document-processing is focused, and the summary matches what you get after install.
- ★★★★★Zara Chawla· Dec 16, 2024
document-processing fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Emma Jain· Dec 12, 2024
Registry listing for document-processing matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Dhruvi Jain· Dec 8, 2024
Keeps context tight: document-processing is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Ren Ramirez· Dec 8, 2024
I recommend document-processing for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Omar Sethi· Dec 8, 2024
Keeps context tight: document-processing is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Oshnikdeep· Nov 27, 2024
document-processing has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Tariq Thomas· Nov 27, 2024
document-processing has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Chinedu Sanchez· Nov 11, 2024
document-processing is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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