Total 53,505 skills, Document Processing has 767 skills
Showing 12 of 767 skills
Manages documents in Paperless-ngx via MCP tools. Searches, uploads, tags, organizes, and bulk-edits documents, correspondents, and document types. Use when working with Paperless-ngx, document management, OCR, or any mcp_paperless_* tool task.
Systematically fix linting issues in markdown files using markdownlint-cli2. This skill should be used when needing to scan, diagnose, and fix markdown formatting issues in projects with one or more .md files, with special attention to ordered list numbering (MD029) errors.
This skill should be used when the user requests to "write documents", "compose articles", "write emails", "edit Chinese text", "check formatting", "correct typography", "mix Chinese and English layout", "format documents", "review document formatting", or "proofread", or when the user is preparing to write or edit Chinese documents, emails, messages, or any formal Chinese text content. This skill provides formatting and typographical corrections based on the Chinese Style Guide, focusing on layout and formatting without altering the author's intended expression.
Template-based Word document generation using Jinja2 syntax. Create reports, contracts, and documents with loops, conditionals, tables, and mail merge capabilities.
Use when the task involves reading, creating, or editing `.docx` documents, especially when formatting or layout fidelity matters; prefer `python-docx` plus the bundled `scripts/render_docx.py` for visual checks.
Parse HWP, HWPX, and PDF Korean documents to Markdown using kordoc — supports CLI, programmatic API, and MCP server integration.
Translate Finnish to Taiwanese Traditional Chinese. 翻譯芬蘭文至台灣正體中文.
Document discovery, inventory building, and metadata extraction for accessibility audits. Use when scanning folders for Office documents (.docx, .xlsx, .pptx) and PDFs, building file inventories, detecting changes via git diff, or extracting document properties like title, author, and language.
Analyzes markdown files for token efficiency. TRIGGERS: optimize markdown, reduce tokens, token count, token bloat, too many tokens, make concise, shrink file, file too large, optimize for AI, token efficiency, verbose markdown, reduce file size
A skill with an orphan reference file. Do NOT use for real work.
Use when the user wants to search, query, extract, transcribe, describe, quote, filter, or aggregate across documents — PDFs, scanned forms / images (`.jpg` `.png` `.tiff`), Office (`.docx` `.pptx`), text (`.html` `.txt`), audio (`.mp3` `.wav` `.m4a`), or video (`.mp4` `.mov`). Prefer this over native Read / Grep for multi-file or non-PDF corpora. Not for: editing files, web browsing, single-file plain-text lookups, fine-tuning.
Polish and rewrite the prose of academic LaTeX (.tex) files to sound professional and domain-appropriate, while leaving commands and structure intact.