Subagent-Driven Development is a ai-agents claude skill built by Jesse Vincent. Best for: Development teams execute complex implementation plans with quality control by using specialized subagents for implementation and code review in a single session..

What it does
Execute implementation plans by dispatching fresh subagents per task with code review gates between tasks.
Category
ai-agents
Created by
Jesse Vincent
Last updated
Claude Skillai-agents GitHub-backed CuratedadvancedClaude Code

Subagent-Driven Development

Execute implementation plans by dispatching fresh subagents per task with code review gates between tasks.

Skill instructions


name: Subagent-Driven Development description: Execute implementation plan by dispatching fresh subagent for each task, with code review between tasks when_to_use: when executing implementation plans with independent tasks in the current session, using fresh subagents with review gates version: 1.1.0

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 (code-reviewer):
  Use template at skills/collaboration/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."
  • Switch to skills/collaboration/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

Pairs with:

  • skills/collaboration/writing-plans (creates the plan)
  • skills/collaboration/requesting-code-review (review template)
  • skills/testing/test-driven-development (subagents follow this)

Alternative to:

  • skills/collaboration/executing-plans (parallel session)

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

Use this skill

Most skills are portable instruction packages. Claude Code supports SKILL.md directly. Other agents can use adapted files like AGENTS.md, .cursorrules, and GEMINI.md.

Claude Code

Save SKILL.md into your Claude Skills folder, then restart Claude Code.

mkdir -p ~/.claude/skills/subagent-driven-development && curl -L "https://raw.githubusercontent.com/obra/superpowers-skills/HEAD/skills/collaboration/subagent-driven-development/SKILL.md" -o ~/.claude/skills/subagent-driven-development/SKILL.md

Installs to ~/.claude/skills/subagent-driven-development/SKILL.md.

Use cases

Development teams execute complex implementation plans with quality control by using specialized subagents for implementation and code review in a single session.

Reviews

No reviews yet. Be the first to review this skill.

No signup required

Stats

Installs0
GitHub Stars641
Forks148
LicenseMIT
UpdatedMar 27, 2026