Generate complete, professional documentation for any project.

Keep documentation in sync with code changes across README, docs sites, API docs, runbooks, and configuration. Use when the user asks to update docs, ensure docs match behavior, or prepare docs for a release/PR.

Automatically regenerate README.md from Betty Framework registries

Automates documentation maintenance. Detects modified files via git diff, creates docs for new files, updates docs for modified files, generates changelog. Use after implementation to keep docs current.

Universal methodology for verifying factual correctness in documentation using WebSearch and WebFetch tools. Covers command syntax verification, version checking, code example validation, API correctness, confidence classification system ([Verified], [Error], [Outdated], [Unverified]), source prioritization, and update frequency rules. Essential for maintaining factual accuracy in technical documentation and educational content

Comprehensive link validation methodology for markdown links including format requirements, path validation, broken link detection, external link verification, and checker implementation patterns

You are a documentation quality expert for the Logseq Template Graph project. Your role is to validate, audit, and ensure high-quality documentation across the project.

Use when writing or editing files in src/content/blog/. Provides blog post structure and conventions.

Use when writing or editing files in src/content/learn/. Provides Learn page structure and tone.

Reference page structure, templates, and writing patterns for src/content/reference/. For components, see /docs-components. For code examples, see /docs-sandpack.

Technical documentation writer for clear, comprehensive docs with incremental generation to prevent crashes. Use when creating API documentation, README files, user guides, or developer onboarding docs. Generates one section at a time (Installation → Usage → API → Configuration).

Automatically applies when writing function docstrings. Uses Google-style format with Args, Returns, Raises, Examples, and Security Note sections for proper documentation.

Write docstrings for PyTorch functions and methods following PyTorch conventions. Use when writing or updating docstrings in PyTorch code.

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Assess organizational doctrine and universally useful patterns

Use when symfony doctrine fixtures foundry

Frappe DocType creation patterns, field types, controller hooks, and data modeling best practices. Use when creating DocTypes, designing data models, adding fields, or setting up document relationships in Frappe/ERPNext.

Create user-friendly documentation for admin staff and business users. Use when documenting admin features, creating user guides, or writing non-technical how-to guides for Humberto and parts counter staff.

Generate Arc42-based architecture documentation with C4 diagrams. Use when documenting system architecture, creating architecture docs, or explaining how the system is structured.

Automatically capture decisions, learnings, and questions when DECISION:, LEARNING:, or QUESTION: markers appear in conversation

Automatically classify and extract information from construction documents using NLP. Categorize RFIs, submittals, change orders, specifications, and contracts.

document-fetcher

Apply standard document formatting, metadata headers, and markdown structure when creating or updating project documents. Use when writing any document in the knowledge base.

Expert in generating, filling, and assembling PDF documents programmatically for legal, HR, and business workflows.

Instructs AI agents on documentation standards for design docs, folder READMEs, source code interfaces, and test cases

Extract structured metadata from documents using AI. Classify content types, extract topics and tools. Supports async batch processing.

Scan and catalog document collections with metadata extraction, categorization, and statistics. Use for auditing document libraries, preparing for knowledge base creation, or understanding large file collections.

Manage Kurt documents - list, query, retrieve content, delete, find duplicates. Use CLI commands, Python API, or direct SQL queries.

Generate comprehensive {node_name}.example.json files that showcase real-world usage of Workscript workflow nodes. Use when asked to document a node, create node documentation, generate node examples, or produce usage examples for workflow nodes. Also use when a subagent needs to create node documentation as part of node development or review.

Parse large documents into structured sections with abstracts and metadata

Multi-format document parsing tools for PDF, DOCX, HTML, and Markdown with support for LlamaParse, Unstructured.io, PyPDF2, PDFPlumber, and python-docx. Use when parsing documents, extracting text from PDFs, processing Word documents, converting HTML to text, extracting tables from documents, building RAG pipelines, chunking documents, or when user mentions document parsing, PDF extraction, DOCX processing, table extraction, OCR, LlamaParse, Unstructured.io, or document ingestion.

Document and PDF patterns for Ballee using @kit/documents for document management and @kit/pdf-core for PDF generation. Use when working with file uploads, document viewers, or generating PDFs.

Extract text/tables from PDFs, create formatted PDFs, merge/split/rotate, handle forms and metadata. Supports pdf-lib/pdfkit (Node.js) and pypdf/pdfplumber/ReportLab (Python).

Use when creating or editing documents (DOCX, PDF, XLSX, PPTX) that need professional output. Adds visual verification, typography hygiene, and formula patterns.

多维度审查 Markdown 文档质量，覆盖结构、内容、格式、引用、元数据五大维度。当需要评审文档质量、统一格式规范、验收交付文档时使用。提供分级检查清单、通过标准、常见问题修复指南，支持从快速检查到深度审计的多层次需求。

Document CI/CD, deployment, and operational procedures. Use when creating runbooks, documenting deployment processes, or writing operational guides.

A robust skill that analyzes your app's actual codebase, tech stack, configuration, and architecture to ensure ALL documentation is current and accurate. It never assumes—always verifies and compares the live system with every documentation file to detect code-doc drift and generate actionable updates.

Create or update documentation for features, APIs, or components

Expert documentation analysis including quality assessment, gap detection, and improvement recommendations

Manages Tallyfy documentation assets on Cloudflare R2. Uploads images, generates AI captions using Claude Code native vision, maintains CSV inventory with build-time integration. Use when managing docs screenshots or media files.

Automatically maintains project documentation including CHANGELOG.md, README files, inline code documentation, and cross-references. Use proactively after implementing features, fixing bugs, making API changes, or completing significant work. Updates CHANGELOG.md with conventional commit format, adds README sections for new features, generates inline documentation for new functions/structs/components, and ensures documentation cross-references are up-to-date. Covers Rust doc comments, TypeScript JSDoc, conventional commits (feat/fix/docs/refactor/test/chore), and multi-level README organization.

Efficient documentation discovery, interpretation, and explanation methodology for technical projects. Use when explaining system architecture, design rationale, implementation patterns, or integrating multiple documentation sources (text docs, code comments, diagrams, test descriptions). Provides strategies for navigating large documentation sets, extracting design intent, cross-referencing multiple sources, and synthesizing comprehensive explanations.

Create comprehensive technical documentation including API docs, component libraries, README files, architecture diagrams, and developer guides using tools like JSDoc, Storybook, or Docusaurus. Use when documenting APIs, creating component documentation, writing README files, generating API references, documenting architecture decisions, creating onboarding guides, maintaining changelogs, documenting configuration options, or building developer documentation sites.

Automatically generate documentation for code, APIs, and projects.

Generate and maintain comprehensive documentation. Use when writing README, API docs, code comments, or technical documentation.

Use when creating bidirectional links between code and documentation. Covers link patterns, documentation references, context preservation across artifacts, and maintaining synchronization between code and docs.

Apply when writing code documentation: JSDoc comments, README files, API documentation, and inline comments.

After implementing a new feature or fixing a bug, make sure to document the changes. Use after finishing the implementation phase for a feature or a bug-fix

slurp-ai scrapes documentation websites and compiles them into a single markdown file optimized for AI agent context. It is lightweight, fast, and deterministic - it does NOT use AI to scrape, it is F

Workflow for capturing browser screenshots and embedding them in documentation.