subagent-driven-development

name	subagent-driven-development
description	Execute plan by dispatching specialized subagents per task. Ensures isolated context and high precision.
type	skill
version	1.0.0
category	execution
agents	["master-system-orchestrator","python-ai-specialist"]

Subagent-Driven Development

When to Use

Execute an approved plan by dispatching specialized subagents for each task. This ensures isolated context and high precision.

Prerequisites

• Approved implementation_plan.md.
• Specialized agents defined and available.

Process

The process follows the decomposition of the implementation plan into sub-tasks assigned to agents.

Core Process

For each task in the approved implementation_plan.md:

1. Dispatch Implementer: Provide full task description and specific context (files, KIs).
2. Verify RED: Subagent must provide evidence of a failing test before implementation.
3. Execute GREEN: Subagent implements minimal code to pass the test.
4. Verify GREEN: Subagent provides proof of passing tests.
5. Review Loop:
   • Spec Review: Confirm implementation matches requirements exactly.
   • Quality Review: Check for idiomatic code, performance, and best practices.
6. Refactor & Commit: Merge the task changes once approved.

Best Practices

Apply these best practices for efficient subagent coordination.

Model Selection

• Mechanical Tasks: Use fast/cheap models (1-2 files, clear spec).
• Integration Tasks: Use standard models (multi-file, pattern matching).
• Architecture/Design: Use the most capable models (judgment-heavy).

Red Flags

• Skipping RED verification.
• Over-building or under-building relative to the spec.
• Mixing context from multiple tasks in a single subagent invocation.