creating-agents-md
Provides a standardized template and guidelines for creating agents.md files to deliver project-specific context to AI coding assistants.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
429 skills found
Provides a standardized template and guidelines for creating agents.md files to deliver project-specific context to AI coding assistants.
Multi-LLM code review pipeline using consensus-based analysis to detect security, architectural, and quality issues.
Conduct automated code reviews for local changes or remote GitHub Pull Requests. It analyzes code for correctness, maintainability, and standards using git and gh CLI integration.
A testing fixture for validating AI agent skill configurations and detecting rule violations.
Automates the integration of Python and TypeScript type hints to enhance IDE intellisense, error detection, and AI code comprehension.
Token-efficient codebase analysis skill for call graphs, semantic search, impact analysis, and data flow. Saves ~95% tokens vs. raw reads.
Update context-mode to the latest version, rebuild assets, reinstall global NPM dependencies, and refresh hook configurations.
Local speech-to-text transcription using the OpenAI Whisper CLI, providing private, high-accuracy audio processing without external API keys.
Build professional, accessible, and responsive user interfaces using React, Next.js, and modern design systems like shadcn/ui. Focuses on developer tools, chat interfaces, and real-time streaming components.
Official evaluation framework for AI agent sessions, implementing Evaluation-Driven Development (EDD) principles to ensure reliability.
A template skill for creating project-specific AI agent guidelines, defining architecture, file structures, and code patterns for deterministic development.
End-to-end GitHub repository maintenance agent. Automates triage, PR review, issue analysis, and maintenance reporting to ensure long-term repository health, stability, and growth.