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
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.mdInstalls 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.
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Creator
JJesse Vincent
@obra