README best practices ve proje dokümantasyon şablonları.
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →README best practices ve proje dokümantasyon şablonları.
docs-release-notes
Retrieve documentation context from local ai-docs. Check here first when implementing features, debugging errors, or needing library information. Fall back to web search if topic not found locally.
Use when adding interactive code examples to React docs.
Searches the aem.live documentation for information on AEM Edge Delivery Services features. Use this skill when you need more information about a feature, want guidance on how to implement a feature, and using existing tools you have to search the web isn't turning up relevant results.
Search technical documentation using executable scripts to detect query type, fetch from llms.txt sources (context7.com), and analyze results. Use when user needs: (1) Topic-specific documentation (features/components/concepts), (2) Library/framework documentation, (3) GitHub repository analysis, (4) Documentation discovery with automated agent distribution strategy
Searching internet for technical documentation using llms.txt standard, GitHub repositories via Repomix, and parallel exploration. Use when user needs: (1) Latest documentation for libraries/frameworks, (2) Documentation in llms.txt format, (3) GitHub repository analysis, (4) Documentation without direct llms.txt support, (5) Multiple documentation sources in parallel
Generate complete, professional documentation for any project.
Automatically applies when drafting or revising documentation to enforce repository voice, clarity, and navigation patterns.
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.
Standard procedure for updating documentation
Expert assistant for keeping documentation synchronized with code changes in the KR92 Bible Voice project. Use when updating API docs, maintaining architecture diagrams, syncing README, updating CLAUDE.MD, or generating documentation from code.
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.
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).
Google-style docstring conventions for Python code. Apply when writing functions, classes, or modules that need documentation.
Automatically applies when writing function docstrings. Uses Google-style format with Args, Returns, Raises, Examples, and Security Note sections for proper documentation.
Convert docstrings to NumPy/Sphinx style with proper Parameters, Returns, and Examples sections. This skill should be used when improving documentation quality across Python modules.
Generate language-specific docstrings for C#, Java, Python, and TypeScript following industry standards (PEP 257, Javadoc, JSDoc, XML documentation)
Use when symfony doctrine batch processing
Use when symfony doctrine fetch modes
Use when symfony doctrine fixtures foundry
Use when symfony doctrine migrations
Use when symfony doctrine relations
Use when symfony doctrine transactions
分析用户上传的文档(PDF、TXT、Word等),提取关键信息,生成摘要、大纲或详细分析报告。
Generate comprehensive API documentation in Markdown format for Swift classes and structs. Use this when creating API documentation, documenting public interfaces, or preparing developer documentation for iOS components.
Generate Arc42-based architecture documentation with C4 diagrams. Use when documenting system architecture, creating architecture docs, or explaining how the system is structured.
Automatically classify and extract information from construction documents using NLP. Categorize RFIs, submittals, change orders, specifications, and contracts.
Convert DOC/DOCX/PDF/PPT/PPTX documents to Markdown format. Automatically detect PDF type (electronic/scanned), extract images to separate directory. Use this Skill when administrator onboards non-Markdown documents. Trigger condition: Onboard DOC/DOCX/PDF/PPT/PPTX format files.
Convert between 8 formats (PDF, DOCX, PPTX, XLSX, TXT, CSV, MD, HTML). Best-effort text extraction, batch processing, and document format transformation.
Convert between Markdown, DOCX, and PDF formats bidirectionally. Handles text extraction from PDF/DOCX, markdown to document conversion. Use when converting document formats or extracting structured content from Word or PDF files.
Generate structured documents from conversations, summaries, and content in open formats.
Create, edit, and analyze Microsoft Word .docx files (reports, contracts, proposals) with styles, tables, headers/footers, template filling, content extraction, and conversion to HTML; support review workflows (comments/highlights) and inspect tracked changes via OOXML when needed using Python/Node.js (python-docx, docxtpl, mammoth.js, docx).
Extract requirements from existing documents including PDFs, Word docs, meeting transcripts, specifications, and web content. Identifies requirement candidates, categorizes them, and outputs in pre-canonical format.
Generate technical and user documentation for a feature
Create properly formatted documents for the knowledge base. Use when creating tasks, projects, bookmarks, companies, meetings, people, or research entries. Provides templates, frontmatter schemas, and management guidelines for each document type in the Database system.
Format and style documents with consistent formatting. Use when standardizing document formatting or cleaning up text.
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
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.
Process scanned documents and images containing Chuukese text using OCR with specialized post-processing for accent characters and traditional formatting. Use when working with scanned books, documents, or images that contain Chuukese text that needs to be digitized.
Generate structured markdown documents (PRDs, tasks, investigation plans) from templates based on workflow type. Creates directory structure and manages document lifecycle for feature, bug, and plan workflows.
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.
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).