GitHub
report-preparation
Process student report submissions from Google Classroom. Renames files with lastname_firstname prefix, converts DOCX to PDF, cross-references against class roster, removes duplicates, and generates submission...
Résultats pour « PDF »
Skills correspondant au nom, à la description ou à l’auteur GitHub.
Catégories: data ai productivity tools
Explorer
GitHub
document-generation
A powerful skill for generating and processing professional documents (Word, PowerPoint, Excel, PDF).
GitHub
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, ge...
GitHub
working-with-documents
Creates and edits Office documents: Word (.docx), PDF, and PowerPoint (.pptx). Use when working with document creation, PDF manipulation, presentation generation, tracked changes, or converting between formats.
GitHub
ascii-preview-generate
Use AI to create ASCII text-based preview of PDF page layout. Transforms visual and extracted data into structured ASCII representation for HTML generation.
GitHub
Kit de ferramentas abrangente de manipulação de PDF para extrair texto e tabelas, criar novos PDFs, mesclar/dividir documentos e lidar com formulários. Quando o Claude precisar preencher um formulário PDF ou pr...
GitHub
marketing
Sales training and simulation system. Use when user wants to (1) add-product - add products to sell, (2) add-customer - add customer profiles, (3) add-operator - add sales strategies/operators, (4) call - start...
GitHub
marketing
Sales training and practice system. Use when user wants to (1) add-product - add products to sell, (2) add-customer - add customer profiles, (3) add-operator - add sales strategies/operators, (4) list - view av...
GitHub
pdf-forge
Generates beautiful, brand-aware PDFs from markdown using WeasyPrint. Use when "create a PDF", "make a PDF", "PDF forge", "generate PDF from markdown", "branded PDF".
GitHub
browserless
Browserless cloud browser automation service. Run headless Chrome at scale for scraping, screenshots, and PDF generation. Use for cloud browser automation, scalable scraping, or headless Chrome as a service.
GitHub
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, ge...
GitHub
puppeteer
Puppeteer browser automation for web scraping, testing, and screenshots. Control headless Chrome for automated workflows. Use for headless browsers, web scraping, E2E testing, or PDF generation.
GitHub
customer-service
Customer service auto-reply system. Use when user wants to (1) add-product - add products/services to serve, (2) add-customer - add customer profiles, (3) add-operator - add service strategies/operators, (4) ca...
GitHub
gemini-pdf-analyzer
Analyzes PDFs and images using Gemini 2.5 Flash via OpenRouter. Use when asked to extract info, ask questions about, or analyze large PDFs or images agentically.
GitHub
brw-eng-004-browser-engineer-screenshotmedia
Screenshot capture, video recording, PDF generation, and image optimization
GitHub
playwright-mcp
Expert browser automation using Playwright MCP tools. Enables web scraping, form filling, automated testing, screenshot capture, PDF generation, and page interaction. Use when automating browsers, extracting we...
GitHub
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, ge...
GitHub
book-to-visual-companion
Transform any book (PDF/ebook) into an interactive visual learning website with Mermaid diagrams, concept maps, and guided learning paths. Use when user says "create visual companion", "book to website", "visua...
GitHub
mistral-ocr
OCR-based PDF/image to Markdown using Mistral AI. Best for scanned documents and images. Requires MISTRAL_API_KEY.
Catégories populaires
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.