| name | subagent-driven-development |
| description | Execute implementation plans by dispatching fresh subagents for each independent task, with two-stage review after each (spec compliance first, then code quality). Use when: (1) you have an implementation plan with independent tasks, (2) tasks can be done in sequence within current session, (3) user asks to "use subagent-driven development" or "execute plan with subagents". Triggers on: "subagent driven", "dispatch subagents", "subagent for each task", "fresh subagent per task". Use when this capability is needed. |
Subagent-Driven Development
Execute implementation plans by dispatching a fresh subagent for each task, with two-stage review after each: spec compliance review first, then code quality review.
Core principle: Fresh subagent per task + two-stage review (spec then quality) = high quality, fast iteration.
When to Use This Skill
Use this skill when ALL of these conditions are met:
- You have an implementation plan - A detailed plan with numbered tasks
- Tasks are mostly independent - Can be done sequentially without tight coupling
- Staying in this session - Not spawning parallel sessions
Decision tree:
- No plan yet? → Create plan first or brainstorm
- Tasks tightly coupled? → Manual execution or refactor plan
- Want parallel execution? → Use alternative workflow for parallel sessions
Prerequisites
- Plan file - Contains numbered tasks with clear specifications
- Git worktree - Isolated workspace for this work (REQUIRED before starting)
- Test-driven development skill - Subagents will follow TDD
- Code review skill - For reviewer subagents
The Process
Step 1: Initialize
- Read plan file once to understand full scope
- Extract all tasks with their complete text and context
- Create todo list with all tasks marked as not-started
Step 2: Per Task Loop
For each task in sequence:
A. Dispatch Implementer Subagent
Use ./implementer-prompt.md template:
- Provide FULL task text (don't make subagent read the file)
- Include scene-setting context (where this fits, dependencies, architecture)
- Subagent may ask questions before starting - answer them completely
- Subagent implements, tests, commits, and self-reviews
B. Dispatch Spec Compliance Reviewer
Use ./spec-reviewer-prompt.md template:
- Reviewer verifies implementation matches spec exactly
- Checks for missing requirements
- Checks for extra/unneeded work
- If issues found: Implementer fixes, then spec reviewer reviews again
- Repeat until spec compliance passes ✅
C. Dispatch Code Quality Reviewer
Only after spec compliance passes.
Use ./code-quality-reviewer-prompt.md template:
- Get git SHAs (base and current commit)
- Reviewer checks code quality (clean, tested, maintainable)
- If issues found: Implementer fixes, then code quality reviewer reviews again
- Repeat until quality review passes ✅
D. Mark Task Complete
Once both reviews pass, mark task as completed in todo list.
Step 3: Final Review
After all tasks completed:
- Dispatch final code reviewer for entire implementation
- Use finishing workflow to complete the development branch
Prompt Templates
Example Workflow
You: I'm using Subagent-Driven Development to execute this plan.
[Read plan file once: docs/plans/feature-plan.md]
[Extract all 5 tasks with full text and context]
[Create todo list with all tasks]
Task 1: Add authentication middleware
[Get Task 1 text and context (already extracted)]
[Dispatch implementation subagent with full task text + context]
Implementer: "Before I begin - should I use JWT or session-based auth?"
You: "JWT with 1-hour expiration"
Implementer: "Got it. Implementing now..."
[Later]
Implementer:
- Implemented auth middleware
- Added tests, 8/8 passing
- Self-review: Found edge case handling missing, added it
- Committed
[Dispatch spec compliance reviewer]
Spec reviewer: ✅ Spec compliant - all requirements met
[Get git SHAs, dispatch code quality reviewer]
Code reviewer: Strengths: Good coverage. Issues: Magic number for expiration. Approved after fix.
[Implementer fixes]
Implementer: Extracted AUTH_TOKEN_EXPIRY constant
[Code reviewer reviews again]
Code reviewer: ✅ Approved
[Mark Task 1 complete]
Task 2: Add rate limiting
...
[Continue for remaining tasks]
[After all tasks]
[Dispatch final code reviewer]
Final reviewer: All requirements met, tests pass, ready to merge
Done!
Advantages
vs. Manual execution:
- Subagents follow TDD naturally
- Fresh context per task (no confusion from previous work)
- Parallel-safe (subagents don't interfere with each other)
- Subagent can ask questions before AND during work
vs. Parallel session execution:
- Same session (no context handoff overhead)
- Continuous progress (no waiting for parallel sessions)
- Review checkpoints automatic and immediate
Efficiency gains:
- No file reading overhead (controller provides full text upfront)
- Controller curates exactly what context is needed
- Subagent gets complete information from the start
- Questions surfaced before work begins (not discovered after)
Quality gates:
- Self-review catches issues before handoff to reviewers
- Two-stage review: spec compliance prevents under/over-building, then code quality ensures good implementation
- Review loops ensure fixes actually work
- Spec compliance first prevents wasted effort on poorly built features
- Code quality ensures maintainability
Cost considerations:
- More subagent invocations (implementer + 2 reviewers per task)
- Controller does more prep work (extracting all tasks upfront)
- Review loops add iterations
- BUT catches issues early (cheaper than debugging later)
Red Flags
Never Do These
- ❌ Start implementation on main/master branch without explicit user consent
- ❌ Skip reviews (spec compliance OR code quality)
- ❌ Proceed with unfixed review issues
- ❌ Dispatch multiple implementation subagents in parallel (causes conflicts)
- ❌ Make subagent read plan file (provide full text instead)
- ❌ Skip scene-setting context (subagent needs to understand where task fits)
- ❌ Ignore subagent questions (answer before letting them proceed)
- ❌ Accept "close enough" on spec compliance (spec reviewer found issues = not done)
- ❌ Skip review loops (reviewer found issues = implementer fixes = review again)
- ❌ Let implementer self-review replace actual review (both are needed)
- ❌ Start code quality review before spec compliance passes (wrong order)
- ❌ Move to next task while either review has open issues
If Subagent Asks Questions
- Answer clearly and completely
- Provide additional context if needed
- Don't rush them into implementation
- Better to clarify upfront than fix later
If Reviewer Finds Issues
- Implementer (same subagent) fixes them
- Reviewer reviews again
- Repeat until approved
- Don't skip the re-review
If Subagent Fails Task
- Dispatch fix subagent with specific instructions
- Don't try to fix manually (causes context pollution)
Integration
Required workflow skills:
- test-driven-development - Subagents follow TDD for each task
- systematic-debugging - If issues arise during implementation
Recommended workflow skills:
- Create implementation plan first (with clear, independent tasks)
- Use git worktrees for isolated workspace
- Have code review workflow available for reviewers
When to use alternatives:
- Need parallel execution? → Use parallel session workflow instead
- Tasks tightly coupled? → Consider manual execution or refactor plan
- No plan yet? → Create plan first
Troubleshooting
Subagent asks too many questions:
- Provide more context upfront in task description
- Include architectural context and constraints
- Reference similar existing code
Spec reviewer keeps finding issues:
- Requirements may be unclear or incomplete
- Refine spec before re-dispatching implementer
- Ensure implementer has full understanding
Code quality reviewer keeps finding issues:
- Implementer may need better examples of good code
- Point to existing patterns to follow
- Clarify quality standards upfront
Tasks taking too long:
- Tasks may be too large - consider breaking down
- Subagent may be overbuilding - emphasize YAGNI
- Review cycle may be too strict - balance thoroughness with progress
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