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.
202 skills found
Provides a standardized template and guidelines for creating agents.md files to deliver project-specific context to AI coding assistants.
Automates production deployment workflows with version management, health checks, release tagging, and post-deployment monitoring.
Evaluate Deca agent prompts and behavioral consistency through automated test runners, manual LLM judgment, and structured reporting.
Captures session learnings into Reusable Intelligence Infrastructure (RII). Converts one-time bug fixes and pattern discoveries into permanent agent-executable knowledge to prevent recurrence and accelerate future development.
A testing utility for the npm-agentskills framework, designed to validate Nuxt module integration and skill discovery patterns.
Evidence-based code review using Sherlock Holmes-style deductive reasoning to verify implementation claims, investigate bugs, and conduct root cause analysis.
Systematic triage and reproduction workflow for investigating flaky CI test failures in Payload CMS repositories.
Review backend pull requests with security enforcement and GitHub CLI integration in a strict read-only environment.
Autonomous QA cycling workflow that runs test-verify-fix loops until your quality goals are met.
Package entire code repositories into single, AI-optimized files. Ideal for providing codebase context to LLMs like Claude, ChatGPT, and Gemini for analysis, security audits, and bug investigations.
Automate pull request reviews with structural code analysis, blast radius assessment, and dependency impact mapping.
Completes development branches by verifying tests, managing merge or PR workflows, and cleaning up worktrees to ensure a consistent repository state.