What problem does it solve?
This Skill addresses the challenges of AI agents losing focus across multiple tasks, producing code that drifts from specifications or lacks quality, by enforcing disciplined execution through isolated subagents and mandatory reviews.
Core Features & Use Cases
- Fresh Subagents per Task: Dispatches specialized agents with precise context to prevent pollution and ensure focus.
- Two-Stage Review Process: Automates spec compliance checks followed by code quality reviews, with loops for fixes until approved.
- Automated Hooks: Handles phase tracking, logging, and context injection without manual intervention.
- Use Case: When implementing a multi-task feature like building an authentication system, use this Skill to break it into independent tasks, execute them sequentially in one session with subagents handling TDD and reviews for reliable, maintainable code.
Quick Start
Announce you're using the subagent-driven-development skill and dispatch the first implementer subagent with the task details from your plan.