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Research Notion content and synthesize into structured briefs, reports, or comparisons with citations. \n \n Search and fetch Notion pages using targeted queries, then organize findings by theme with inline source citations and a references section \n Choose from four output formats (quick brief, research summary, comparison, comprehensive report) based on scope and user goal \n Create and update Notion pages using built-in templates; link sources directly and track changes as new information ar

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

Natural-language PDF editing through command-line instructions on specific pages. \n \n Accepts plain-English edit commands targeting individual PDF pages, such as text changes, corrections, and formatting adjustments \n Requires the nano-pdf CLI tool installed via uv or pip \n Page numbering may vary by version; verify output carefully as results can be off-by-one depending on configuration \n

Fetch current library documentation and code examples instead of relying on training data. \n \n Resolves library names to Context7 documentation IDs, then queries for setup, configuration, and API reference information \n Supports major frameworks and libraries: React, Vue, Svelte, Next.js, Express, Prisma, Supabase, Tailwind, and others \n Activates automatically for setup questions, code generation requests, and framework-specific inquiries \n Returns version-aware documentation and official

Generates and validates technical documentation across docstrings, API specs, and developer guides. \n \n Supports multiple docstring formats (Google, NumPy, Sphinx for Python; JSDoc for TypeScript) and API specification standards (OpenAPI, AsyncAPI, gRPC) \n Includes validation workflows for each format: doctest/pytest for Python, TypeScript compilation checks, and Redocly linting for OpenAPI specs \n Covers inline code documentation, interactive API portals, documentation site generation, and

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