Enforces strict adherence to implementation plans by providing an algorithmic decision tree to prevent unauthorized architectural deviations and scope creep.
The Following-Plans skill provides a critical governance layer for AI agents during the execution of software development tasks. By utilizing a standardized decision tree, it forces agents to distinguish between minor syntax corrections and significant architectural shifts. This prevents agents from making silent 'simpler' changes that bypass design decisions, ensuring that all deviations are explicitly reported and approved. It is an essential tool for maintaining technical integrity and preventing unauthorized refactoring during the implementation phase.
주요 기능
01Standardized OK/BLOCKED status reporting framework
02Clear distinction between syntax fixes and approach changes
03Algorithmic decision tree for implementation governance
04Automated identification of unauthorized architectural changes
05Rationalization defense against AI-driven scope creep
064 GitHub stars
사용 사례
01Maintaining architectural integrity during complex feature implementations
02Governing AI agents to prevent silent refactoring or library changes
03Standardizing feedback loops between planning and execution phases