How does this differ from standard plan execution?

Unlike standard execution, this skill dispatches a fresh subagent for every task within the same session to prevent context pollution and adds mandatory code review steps after every task.

When should I avoid using Subagent-Driven Development?

Avoid this skill if your tasks are tightly coupled and require manual intervention, or if your implementation plan hasn't been fully finalized and reviewed yet.

Does this skill support Test-Driven Development?

Yes, subagents are explicitly instructed to follow TDD principles, writing and verifying tests for each task they implement.

What happens if a subagent fails a task?

If issues are found during the review phase, a fix subagent is dispatched with specific instructions to resolve the problems before the workflow moves to the next task.

Subagent-Driven Development

Name: Subagent-Driven Development
Author: AlabamaMike

byAlabamaMike

Productivity & Workflow

Executes multi-task implementation plans by dispatching specialized subagents for each step with integrated code reviews.

About

Subagent-Driven Development streamlines complex coding projects by breaking implementation plans into independent tasks handled by fresh AI subagents. By isolating context for each task and enforcing mandatory code reviews between steps, it prevents context pollution and ensures high-quality code output without requiring constant human intervention. This skill is ideal for developers staying within a single session who want to iterate rapidly while maintaining rigorous quality gates, TDD standards, and architectural consistency.

Key Features

Seamless integration with Test-Driven Development (TDD) workflows
Automated quality gates with mandatory code reviews between implementation steps
Context isolation through fresh subagent dispatch for every individual task
Final architectural validation and automated branch finalization
Continuous progress tracking using TodoWrite for transparent task management
0 GitHub stars

Use Cases

Enforcing high-quality standards through automated peer review cycles during active development
Rapidly iterating on independent modules without manual context switching
Executing complex multi-file feature implementations from a pre-written plan

About

Key Features

Seamless integration with Test-Driven Development (TDD) workflows
Automated quality gates with mandatory code reviews between implementation steps
Context isolation through fresh subagent dispatch for every individual task
Final architectural validation and automated branch finalization
Continuous progress tracking using TodoWrite for transparent task management
0 GitHub stars

Use Cases

Enforcing high-quality standards through automated peer review cycles during active development
Rapidly iterating on independent modules without manual context switching
Executing complex multi-file feature implementations from a pre-written plan