Agent Skills

code-review

✓★ 177,640

by flutter

Performs a comprehensive, multi-step code review of pull requests or local code changes, using iterative refinement (generation, critique, synthesis) to ensure high-quality, actionable feedback. Use when you need to review code changes thoroughly.

natural-writing

✓★ 177,640

by flutter

Contains well-defined rules for creating natural, accurate, and readable writing. Use whenever authoring longer text, like analysis documents, PR or CL descriptions, or documentation.

scaffold-exercises

✓★ 157,694

by mattpocock

Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.

code-reviewer

✓★ 105,779

by google-gemini

Use this skill to review code. It supports both local changes (staged or working tree) and remote Pull Requests (by ID or URL). It focuses on correctness, maintainability, and adherence to project standards.

antigravity-support

✓★ 105,779

by google-gemini

Use when the user asks questions, seeks help, or requests instructions related to installing, setting up, or migrating to Antigravity CLI. This skill provides the latest up to date details, requirements, and commands sourced from the official Antigravity CLI documentation.

review-duplication

✓★ 105,779

by google-gemini

Use this skill during code reviews to proactively investigate the codebase for duplicated functionality, reinvented wheels, or failure to reuse existing project best practices and shared utilities.

string-reviewer

✓★ 105,779

by google-gemini

Use this skill when asked to review text and user-facing strings within the codebase. It ensures that these strings follow rules on clarity, usefulness, brevity and style.

openai-docs

✓★ 95,702

by openai

Use when the user asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, or model upgrade and prompt-upgrade guidance; use OpenAI docs MCP tools for non-Codex docs questions, use the Codex manual helper first for broad Codex self-knowledge, and restrict fallback browsing to official OpenAI domains.

acquire-codebase-knowledge

✓★ 36,202

by github

Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.

add-educational-comments

✓★ 36,202

by github

Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.

architecture-blueprint-generator

✓★ 36,202

by github

Comprehensive project architecture blueprint generator that analyzes codebases to create detailed architectural documentation. Automatically detects technology stacks and architectural patterns, generates visual diagrams, documents implementation patterns, and provides extensible blueprints for maintaining architectural consistency and guiding new development.

code-exemplars-blueprint-generator

✓★ 36,202

by github

Technology-agnostic prompt generator that creates customizable AI prompts for scanning codebases and identifying high-quality code exemplars. Supports multiple programming languages (.NET, Java, JavaScript, TypeScript, React, Angular, Python) with configurable analysis depth, categorization methods, and documentation formats to establish coding standards and maintain consistency across development teams.

code-tour

✓★ 36,202

by github

Use this skill to create CodeTour .tour files — persona-targeted, step-by-step walkthroughs that link to real files and line numbers. Trigger for: "create a tour", "make a code tour", "generate a tour", "onboarding tour", "tour for this PR", "tour for this bug", "RCA tour", "architecture tour", "explain how X works", "vibe check", "PR review tour", "contributor guide", "help someone ramp up", or any request for a structured walkthrough through code. Supports 20 developer personas (new joiner, bug fixer, architect, PR reviewer, vibecoder, security reviewer, and more), all CodeTour step types (file/line, selection, pattern, uri, commands, view), and tour-level fields (ref, isPrimary, nextTour). Works with any repository in any language.

comment-code-generate-a-tutorial

✓★ 36,202

by github

Transform this Python script into a polished, beginner-friendly project by refactoring the code, adding clear instructional comments, and generating a complete markdown tutorial.

create-architectural-decision-record

✓★ 36,202

by github

Create an Architectural Decision Record (ADR) document for AI-optimized decision documentation.

create-llms

✓★ 36,202

by github

Create an llms.txt file from scratch based on repository structure following the llms.txt specification at https://llmstxt.org/

create-readme

✓★ 36,202

by github

Create a README.md file for the project

create-specification

✓★ 36,202

by github

Create a new specification file for the solution, optimized for Generative AI consumption.

create-tldr-page

✓★ 36,202

by github

Create a tldr page from documentation URLs and command examples, requiring both URL and command name.

csharp-docs

✓★ 36,202

by github

Ensure that C# types are documented with XML comments and follow best practices for documentation.

documentation-writer

✓★ 36,202

by github

Diátaxis Documentation Expert. An expert technical writer specializing in creating high-quality software documentation, guided by the principles and structure of the Diátaxis technical documentation authoring framework.

dotnet-best-practices

✓★ 36,202

by github

Ensure .NET/C# code meets best practices for the solution/project.

dotnet-design-pattern-review

✓★ 36,202

by github

Review the C#/.NET code for design pattern implementation and suggest improvements.

folder-structure-blueprint-generator

✓★ 36,202

by github

Comprehensive technology-agnostic prompt for analyzing and documenting project folder structures. Auto-detects project types (.NET, Java, React, Angular, Python, Node.js, Flutter), generates detailed blueprints with visualization options, naming conventions, file placement patterns, and extension templates for maintaining consistent code organization across diverse technology stacks.

java-docs

✓★ 36,202

by github

Ensure that Java types are documented with Javadoc comments and follow best practices for documentation.

java-refactoring-extract-method

✓★ 36,202

by github

Refactoring using Extract Methods in Java Language

java-refactoring-remove-parameter

✓★ 36,202

by github

Refactoring using Remove Parameter in Java Language

oo-component-documentation

✓★ 36,202

by github

Create or update standardized object-oriented component documentation using a shared template plus mode-specific guidance for new and existing docs.

project-workflow-analysis-blueprint-generator

✓★ 36,202

by github

Comprehensive technology-agnostic prompt generator for documenting end-to-end application workflows. Automatically detects project architecture patterns, technology stacks, and data flow patterns to generate detailed implementation blueprints covering entry points, service layers, data access, error handling, and testing approaches across multiple technologies including .NET, Java/Spring, React, and microservices architectures.

readme-blueprint-generator

✓★ 36,202

by github

Intelligent README.md generation prompt that analyzes project documentation structure and creates comprehensive repository documentation. Scans .github/copilot directory files and copilot-instructions.md to extract project information, technology stack, architecture, development workflow, coding standards, and testing approaches while generating well-structured markdown documentation with proper formatting, cross-references, and developer-focused content.