rohitg00/skillkit Skills

Common testing mistakes to avoid for reliable, maintainable tests

Think before coding - design the solution before implementing

Discover and install skills from multiple marketplaces for AI coding agents

Effectively transfer work context between team members or agents

Scientific approach to debugging with hypothesis formation and testing

Coordinate multiple investigation threads for complex problems

Test-driven development cycle for writing reliable, well-designed code

Systematic approach to finding the true source of bugs, not just symptoms

Guidelines for writing effective AI agent skills

Multi-stage code review process for thorough and constructive feedback

Break down complex tasks into small, manageable, atomic units

Effective patterns for writing maintainable, reliable tests

Techniques for tracing code execution and isolating problematic components

Define checkpoints to validate work before proceeding to next phase