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Found 3,152 Skills
Craft professional README.md files for GitHub open source projects. Generates hero sections, installation instructions, feature tables, and architecture diagrams. Use when creating or revising a README, documenting a CLI tool, library, or open source project, or when user asks about README structure, badges, or project documentation.
Documentation guidelines for Mastra. This skill should be used when writing or editing documentation for Mastra. Triggers on tasks involving documentation creation or updates.
Validate and optimize CLAUDE.md files using Anthropic's best practices for focused sessions. Detects contradictions, redundancy, excessive length (200+ lines), emphasis overuse (2%+ density), broken links, and orphaned sections. Scores health 0-50 points. Suggests safe automated fixes and extraction opportunities. Use when editing CLAUDE.md, before commits, when document grows past 200 lines, user says "optimize CLAUDE.md", "check contradictions", "validate documentation", or during quarterly reviews. Works with project and global CLAUDE.md files (.md extension). Based on Anthropic 2025 context engineering best practices.
Generate end-user documentation site using Docusaurus 3.x from the current project. Use this skill when the user asks to create documentation, generate docs, build a docs site, or set up Docusaurus for their project. Supports analyzing project structure, generating markdown docs, configuring Docusaurus, and creating user guides.
Best practices for validating Dart documentation comments. Covers using `dart doc` to catch unresolved references and macros.
Semantic search skill for retrieving code and documentation from the ChromaDB vector store. Use when you need concept-based search across the repository (Phase 2 of the 3-phase search protocol). V2 includes L4/L5 retrieval constraints.
This skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent instructions concise. Enforces research-backed best practices for minimal, high-signal agent documentation.
Architectural decision-making framework. Requirements analysis, trade-off evaluation, ADR documentation. Use when making architecture decisions or analyzing system design.
Search PIG official documentation and summarize answers. It is triggered when users ask technical questions, configuration methods, function descriptions related to PIG CLOUD, PIG AI, pigx, or explicitly say "check documentation", "search", "how to configure", "how to implement". When encountering specific problems related to the PIG framework, you should actively search the documentation before answering, and do not rely on potentially outdated information in the training data.
Create and improve README documents for GitHub projects. Use when the user wants to write a new README, improve an existing one, audit README quality, or asks about documentation best practices for their repository.
Answer Font Awesome questions using the official documentation
Generate reference documentation entry by entry for the public surface of libraries (components, functions, commands, etc.), with manifest tracking, supporting both single-entry and batch modes. Fundamental differences from guidedoc: guidedoc teaches you how to use things, while libdoc tells you what each part looks like; guidedoc's information sources are solution docs + user knowledge, while libdoc's information source is the source code itself. Trigger scenarios: When users say "write API documentation", "component documentation", "libdoc", "write documentation for each component", or when new public library interfaces are found after feature-acceptance.