refactoring-patterns
Safely refactor code to improve structure and maintainability while preserving behavior through TDD cycles and automated test verification.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
515 skills found
Safely refactor code to improve structure and maintainability while preserving behavior through TDD cycles and automated test verification.
Expert UI/UX design assistant for React & Next.js. Provides visual critiques, design system architecture, and Tailwind CSS/shadcn/ui implementation guidance for production-grade web applications.
A structured API interface for the Swagger Petstore, optimized for AI agents to interact with resources like pets, users, and store orders using on-demand documentation loading.
Interactive debugging workflow for Ruby test suites using the debug gem, featuring step execution, system state inspection, and root cause analysis.
Parses and processes SARIF files from static analysis tools. Enables aggregation, deduplication, filtering, and CI/CD integration of scan results.
Autonomous multi-agent orchestration framework for Claude Code with memory-driven workflows, parallel-first task execution, Aristotle-based deconstruction, and multi-stage quality gates.
Lints, validates, and auto-fixes AI agent configuration files like SKILL.md, CLAUDE.md, and MCP configs.
Standardized testing patterns for WordPress ActivityPub plugin, covering PHPUnit unit tests and Playwright E2E integration tests.
Fetch and analyze current trending programming models from OpenRouter. Ideal for selecting models for reviews, optimizing AI costs, and staying updated on AI coding trends with real-time pricing and context window data.
Fetches expert perspectives from OpenAI Codex and Google Gemini for architecture, code reviews, and debugging, with transparent LLM synthesis.
A specialized skill for building and managing Next.js App Router API routes, handling HTTP methods, request bodies, streaming, and response configuration.
Implements Manus-style persistent markdown planning for complex workflows, project tracking, and research management to optimize agent attention and memory.