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PDF reading, creation, and validation with visual rendering and programmatic generation. \n \n Render PDF pages to PNG for visual inspection of layout, spacing, and typography before delivery using Poppler ( pdftoppm ) \n Generate PDFs programmatically with reportlab for reliable formatting; extract text and metadata with pdfplumber or pypdf \n Enforce quality standards: no clipped text, overlapping elements, broken tables, or rendering artifacts; ASCII hyphens only, human-readable citations \n

Standardized templates and guidelines for READMEs, API docs, code comments, and AI-friendly documentation. \n \n Includes structured templates for README files, per-endpoint API documentation, JSDoc/TSDoc comments, and changelog formats \n Provides Architecture Decision Record (ADR) template for documenting design choices and trade-offs \n Covers AI-friendly documentation patterns including llms.txt format and MCP-ready documentation with clear hierarchy, examples, and diagrams \n Emphasizes sca

Create, edit, and analyze Word documents with tracked changes, comments, and formatting preservation. \n \n Three distinct workflows: text extraction via pandoc, creating new documents with docx-js, and editing existing documents with the Python Document library \n Redlining workflow for comprehensive tracked changes with batching strategy, minimal edits principle, and systematic implementation guidance \n Raw XML access for comments, complex formatting, embedded media, and document structure vi

Style guide and content patterns for Nuxt documentation and blog posts. \n \n Enforces active voice, present tense, and grammatically correct prose without sacrificing clarity for brevity \n Provides writing patterns (subject-first, imperative, contextual) and modal verb guidance (can/should/must) for consistent documentation voice \n Includes MDC component patterns for callouts (note, tip, warning, important) and CTAs, with references to nuxt-content and nuxt-ui skills for syntax and props \n O

Create, edit, analyze, and redline Word documents with full format and tracked-change support. \n \n Three distinct workflows: text extraction via pandoc, document creation using docx-js, and editing via the Python Document library with OOXML manipulation \n Redlining workflow for tracked changes with batching strategy, minimal-edit principles, and comprehensive verification to ensure professional document review \n Raw XML access for comments, complex formatting, embedded media, and metadata th

Read, write, and manage comments in Feishu documents with markdown support and block-level operations. \n \n Supports full document lifecycle: read plain text, write/append markdown content, create new documents, and manage individual blocks (get, update, delete) \n Comment operations include listing document and block-level comments, retrieving single comments, and creating global comments with pagination support \n Structured content (tables, images, code blocks) accessible via list_blocks act

Document conversion, extraction, OCR, redaction, signing, and form-filling via the Nutrient DWS API. \n \n Converts between 15+ formats including PDF, DOCX, XLSX, PPTX, HTML, and images (JPG, PNG, TIFF, WebP, SVG, and more) \n Extracts plain text and tables from documents; OCR supports 100+ languages for scanned PDFs and images \n Redacts PII using preset patterns (SSN, email, credit card, phone, date, URL, IP, MAC address, ZIP code, VIN) or custom regex \n Adds watermarks, applies digital CMS s

Automatically regenerates marketplace documentation files from Jinja2 templates and catalog data. \n \n Generates four synchronized documentation files (agents.md, agent-skills.md, plugins.md, usage.md) by reading marketplace.json and plugin metadata \n Provides Python script with command-line options for full generation, selective file output, dry-run mode, and custom path configuration \n Includes pre-built Jinja2 templates with access to comprehensive context: plugins organized by category, i

Share a Google Doc with collaborators and send them notification emails. \n \n Combines three Google Workspace skills (Drive, Docs, Gmail) to locate documents, grant editor access, and notify recipients in sequence \n Automates the workflow of finding docs by name, adding collaborators with write permissions, and emailing them the share link \n Requires gws-drive , gws-docs , and gws-gmail skills to be loaded before execution \n

Automatically capture solved problems as searchable documentation with category-based organization and YAML validation. \n \n Auto-triggers after confirmation phrases like \"that worked\" or \"it's fixed\"; documents non-trivial problems with investigation history, root cause, and prevention guidance \n Enforces strict YAML frontmatter validation against enum-defined problem types and severity levels before file creation \n Organizes solutions into category directories (e.g., docs/solutions/perf