home / skills / krosebrook / source-of-truth-monorepo / subagent-driven-development

This skill executes plan tasks by spawning fresh subagents and enforcing code review after each step to accelerate iteration with quality.

This is most likely a fork of the subagent-driven-development skill from ntaksh42
npx playbooks add skill krosebrook/source-of-truth-monorepo --skill subagent-driven-development

Review the files below or copy the command above to add this skill to your agents.

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SKILL.md
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---
name: subagent-driven-development
description: Use when executing implementation plans with independent tasks in the current session - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates
---

# Subagent-Driven Development

Execute plan by dispatching fresh subagent per task, with code review after each.

**Core principle:** Fresh subagent per task + review between tasks = high quality, fast iteration

## Overview

**vs. Executing Plans (parallel session):**
- Same session (no context switch)
- Fresh subagent per task (no context pollution)
- Code review after each task (catch issues early)
- Faster iteration (no human-in-loop between tasks)

**When to use:**
- Staying in this session
- Tasks are mostly independent
- Want continuous progress with quality gates

**When NOT to use:**
- Need to review plan first (use executing-plans)
- Tasks are tightly coupled (manual execution better)
- Plan needs revision (brainstorm first)

## The Process

### 1. Load Plan

Read plan file, create TodoWrite with all tasks.

### 2. Execute Task with Subagent

For each task:

**Dispatch fresh subagent:**
```
Task tool (general-purpose):
  description: "Implement Task N: [task name]"
  prompt: |
    You are implementing Task N from [plan-file].

    Read that task carefully. Your job is to:
    1. Implement exactly what the task specifies
    2. Write tests (following TDD if task says to)
    3. Verify implementation works
    4. Commit your work
    5. Report back

    Work from: [directory]

    Report: What you implemented, what you tested, test results, files changed, any issues
```

**Subagent reports back** with summary of work.

### 3. Review Subagent's Work

**Dispatch code-reviewer subagent:**
```
Task tool (superpowers:code-reviewer):
  Use template at requesting-code-review/code-reviewer.md

  WHAT_WAS_IMPLEMENTED: [from subagent's report]
  PLAN_OR_REQUIREMENTS: Task N from [plan-file]
  BASE_SHA: [commit before task]
  HEAD_SHA: [current commit]
  DESCRIPTION: [task summary]
```

**Code reviewer returns:** Strengths, Issues (Critical/Important/Minor), Assessment

### 4. Apply Review Feedback

**If issues found:**
- Fix Critical issues immediately
- Fix Important issues before next task
- Note Minor issues

**Dispatch follow-up subagent if needed:**
```
"Fix issues from code review: [list issues]"
```

### 5. Mark Complete, Next Task

- Mark task as completed in TodoWrite
- Move to next task
- Repeat steps 2-5

### 6. Final Review

After all tasks complete, dispatch final code-reviewer:
- Reviews entire implementation
- Checks all plan requirements met
- Validates overall architecture

### 7. Complete Development

After final review passes:
- Announce: "I'm using the finishing-a-development-branch skill to complete this work."
- **REQUIRED SUB-SKILL:** Use superpowers:finishing-a-development-branch
- Follow that skill to verify tests, present options, execute choice

## Example Workflow

```
You: I'm using Subagent-Driven Development to execute this plan.

[Load plan, create TodoWrite]

Task 1: Hook installation script

[Dispatch implementation subagent]
Subagent: Implemented install-hook with tests, 5/5 passing

[Get git SHAs, dispatch code-reviewer]
Reviewer: Strengths: Good test coverage. Issues: None. Ready.

[Mark Task 1 complete]

Task 2: Recovery modes

[Dispatch implementation subagent]
Subagent: Added verify/repair, 8/8 tests passing

[Dispatch code-reviewer]
Reviewer: Strengths: Solid. Issues (Important): Missing progress reporting

[Dispatch fix subagent]
Fix subagent: Added progress every 100 conversations

[Verify fix, mark Task 2 complete]

...

[After all tasks]
[Dispatch final code-reviewer]
Final reviewer: All requirements met, ready to merge

Done!
```

## Advantages

**vs. Manual execution:**
- Subagents follow TDD naturally
- Fresh context per task (no confusion)
- Parallel-safe (subagents don't interfere)

**vs. Executing Plans:**
- Same session (no handoff)
- Continuous progress (no waiting)
- Review checkpoints automatic

**Cost:**
- More subagent invocations
- But catches issues early (cheaper than debugging later)

## Red Flags

**Never:**
- Skip code review between tasks
- Proceed with unfixed Critical issues
- Dispatch multiple implementation subagents in parallel (conflicts)
- Implement without reading plan task

**If subagent fails task:**
- Dispatch fix subagent with specific instructions
- Don't try to fix manually (context pollution)

## Integration

**Required workflow skills:**
- **writing-plans** - REQUIRED: Creates the plan that this skill executes
- **requesting-code-review** - REQUIRED: Review after each task (see Step 3)
- **finishing-a-development-branch** - REQUIRED: Complete development after all tasks (see Step 7)

**Subagents must use:**
- **test-driven-development** - Subagents follow TDD for each task

**Alternative workflow:**
- **executing-plans** - Use for parallel session instead of same-session execution

See code-reviewer template: requesting-code-review/code-reviewer.md

Overview

This skill executes an implementation plan by dispatching a fresh subagent for each independent task and running a code review between tasks. It preserves a single session context while avoiding context pollution, enabling fast iteration with quality gates. The flow enforces TDD, automated verification, and incremental code review to catch issues early.

How this skill works

Load the plan and represent tasks in a TodoWrite. For each task, dispatch a fresh implementation subagent that implements the task, writes and runs tests, commits changes, and reports results. Then dispatch a code-reviewer subagent to analyze the changes and classify issues (Critical/Important/Minor). Apply fixes immediately for Critical issues and before proceeding for Important issues, optionally dispatching follow-up subagents to implement fixes.

When to use it

  • You are working inside the current session and want continuous progress without context switching.
  • Tasks in the plan are mostly independent and can be implemented separately.
  • You want automated test-driven development with review checkpoints after each task.
  • You need fast iteration while maintaining high code quality.

Best practices

  • Always dispatch a fresh subagent for each task to avoid context pollution.
  • Require tests and verification as part of each implementation subagent's responsibilities.
  • Never proceed with unfixed Critical issues; fix them immediately with a follow-up subagent.
  • Do not run multiple implementation subagents for the same branch in parallel to avoid merge conflicts.
  • Use the code-reviewer template and capture BASE_SHA/HEAD_SHA for each review.

Example use cases

  • Implementing independent features or bug fixes listed in a plan for a monorepo.
  • Iteratively building components where each task has clear acceptance criteria and tests.
  • Scaling development across many small, autonomous changes while enforcing consistent reviews.
  • Finishing a feature branch by running a final holistic code review after all sub-tasks pass.

FAQ

What if a subagent fails to complete a task?

Dispatch a focused fix subagent with explicit instructions to address the failure; avoid manual fixes that could pollute session context.

Can I skip code review between tasks to speed up progress?

No. Skipping reviews removes the quality gate and increases risk; Critical issues must be fixed before continuing.