tdd-guide
Comprehensive Test Driven Development (TDD) assistant for engineering teams, featuring intelligent test generation, coverage analysis, and multi-framework support.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
315 skills found
Comprehensive Test Driven Development (TDD) assistant for engineering teams, featuring intelligent test generation, coverage analysis, and multi-framework support.
Automated LSP detection, installation, and configuration for intelligent code analysis, navigation, and diagnostics.
Systematic project technology stack detection, framework-specific skill auto-loading, and multi-stack analysis for fullstack projects like React + Go.
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.
Handles large-scale tasks by automatically breaking them down into manageable, recursive sub-tasks to overcome context window limits and improve reasoning accuracy on large codebases and document sets.
Automated setup and configuration of Model Context Protocol (MCP) servers for Claude Code to enable seamless integration with external databases, APIs, and file systems.
A robust verification and QA system for software agents featuring real-time truth scoring, automated code validation, and instant rollback capabilities to maintain high reliability.
Create structured, high-quality technical implementation plans via an agent-driven, iterative process. Ideal for complex refactoring, new features, and technical design.
An autonomous UI implementation agent that converts Figma designs into pixel-perfect code using Figma MCP and browser-based refinement.
Break down complex development requests into sequenced, actionable tasks for multi-agent delegation in Claude Code environments.
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows within the Ruflo/Claude Flow ecosystem.
A meta-skill for building robust AI agent skills using a TDD approach: define failure (RED), implement the skill (GREEN), and plug rationalization loopholes (REFACTOR).