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skills/software-development/subagent-driven-development/SKILL.md
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skills/software-development/subagent-driven-development/SKILL.md
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---
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name: subagent-driven-development
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description: Use when executing implementation plans with independent tasks. Dispatches fresh delegate_task per task with two-stage review (spec compliance then code quality).
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version: 1.1.0
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author: Hermes Agent (adapted from obra/superpowers)
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license: MIT
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metadata:
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hermes:
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tags: [delegation, subagent, implementation, workflow, parallel]
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related_skills: [writing-plans, requesting-code-review, test-driven-development]
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---
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# Subagent-Driven Development
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## Overview
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Execute implementation plans by dispatching fresh subagents per task with systematic two-stage review.
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**Core principle:** Fresh subagent per task + two-stage review (spec then quality) = high quality, fast iteration.
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## When to Use
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Use this skill when:
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- You have an implementation plan (from writing-plans skill or user requirements)
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- Tasks are mostly independent
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- Quality and spec compliance are important
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- You want automated review between tasks
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**vs. manual execution:**
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- Fresh context per task (no confusion from accumulated state)
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- Automated review process catches issues early
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- Consistent quality checks across all tasks
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- Subagents can ask questions before starting work
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## The Process
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### 1. Read and Parse Plan
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Read the plan file. Extract ALL tasks with their full text and context upfront. Create a todo list:
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```python
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# Read the plan
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read_file("docs/plans/feature-plan.md")
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# Create todo list with all tasks
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todo([
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{"id": "task-1", "content": "Create User model with email field", "status": "pending"},
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{"id": "task-2", "content": "Add password hashing utility", "status": "pending"},
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{"id": "task-3", "content": "Create login endpoint", "status": "pending"},
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])
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```
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**Key:** Read the plan ONCE. Extract everything. Don't make subagents read the plan file — provide the full task text directly in context.
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### 2. Per-Task Workflow
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For EACH task in the plan:
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#### Step 1: Dispatch Implementer Subagent
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Use `delegate_task` with complete context:
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```python
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delegate_task(
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goal="Implement Task 1: Create User model with email and password_hash fields",
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context="""
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TASK FROM PLAN:
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- Create: src/models/user.py
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- Add User class with email (str) and password_hash (str) fields
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- Use bcrypt for password hashing
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- Include __repr__ for debugging
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FOLLOW TDD:
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1. Write failing test in tests/models/test_user.py
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2. Run: pytest tests/models/test_user.py -v (verify FAIL)
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3. Write minimal implementation
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4. Run: pytest tests/models/test_user.py -v (verify PASS)
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5. Run: pytest tests/ -q (verify no regressions)
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6. Commit: git add -A && git commit -m "feat: add User model with password hashing"
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PROJECT CONTEXT:
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- Python 3.11, Flask app in src/app.py
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- Existing models in src/models/
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- Tests use pytest, run from project root
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- bcrypt already in requirements.txt
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""",
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toolsets=['terminal', 'file']
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)
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```
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#### Step 2: Dispatch Spec Compliance Reviewer
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After the implementer completes, verify against the original spec:
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```python
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delegate_task(
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goal="Review if implementation matches the spec from the plan",
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context="""
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ORIGINAL TASK SPEC:
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- Create src/models/user.py with User class
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- Fields: email (str), password_hash (str)
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- Use bcrypt for password hashing
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- Include __repr__
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CHECK:
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- [ ] All requirements from spec implemented?
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- [ ] File paths match spec?
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- [ ] Function signatures match spec?
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- [ ] Behavior matches expected?
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- [ ] Nothing extra added (no scope creep)?
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OUTPUT: PASS or list of specific spec gaps to fix.
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""",
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toolsets=['file']
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)
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```
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**If spec issues found:** Fix gaps, then re-run spec review. Continue only when spec-compliant.
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#### Step 3: Dispatch Code Quality Reviewer
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After spec compliance passes:
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```python
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delegate_task(
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goal="Review code quality for Task 1 implementation",
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context="""
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FILES TO REVIEW:
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- src/models/user.py
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- tests/models/test_user.py
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CHECK:
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- [ ] Follows project conventions and style?
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- [ ] Proper error handling?
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- [ ] Clear variable/function names?
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- [ ] Adequate test coverage?
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- [ ] No obvious bugs or missed edge cases?
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- [ ] No security issues?
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OUTPUT FORMAT:
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- Critical Issues: [must fix before proceeding]
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- Important Issues: [should fix]
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- Minor Issues: [optional]
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- Verdict: APPROVED or REQUEST_CHANGES
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""",
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toolsets=['file']
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)
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```
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**If quality issues found:** Fix issues, re-review. Continue only when approved.
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#### Step 4: Mark Complete
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```python
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todo([{"id": "task-1", "content": "Create User model with email field", "status": "completed"}], merge=True)
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```
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### 3. Final Review
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After ALL tasks are complete, dispatch a final integration reviewer:
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```python
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delegate_task(
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goal="Review the entire implementation for consistency and integration issues",
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context="""
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All tasks from the plan are complete. Review the full implementation:
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- Do all components work together?
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- Any inconsistencies between tasks?
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- All tests passing?
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- Ready for merge?
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""",
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toolsets=['terminal', 'file']
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)
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```
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### 4. Verify and Commit
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```bash
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# Run full test suite
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pytest tests/ -q
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# Review all changes
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git diff --stat
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# Final commit if needed
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git add -A && git commit -m "feat: complete [feature name] implementation"
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```
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## Task Granularity
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**Each task = 2-5 minutes of focused work.**
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**Too big:**
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- "Implement user authentication system"
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**Right size:**
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- "Create User model with email and password fields"
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- "Add password hashing function"
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- "Create login endpoint"
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- "Add JWT token generation"
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- "Create registration endpoint"
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## Red Flags — Never Do These
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- Start implementation without a plan
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- Skip reviews (spec compliance OR code quality)
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- Proceed with unfixed critical/important issues
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- Dispatch multiple implementation subagents for tasks that touch the same files
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- Make subagent read the plan file (provide full text in context instead)
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- Skip scene-setting context (subagent needs to understand where the task fits)
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- Ignore subagent questions (answer before letting them proceed)
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- Accept "close enough" on spec compliance
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- Skip review loops (reviewer found issues → implementer fixes → review again)
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- Let implementer self-review replace actual review (both are needed)
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- **Start code quality review before spec compliance is PASS** (wrong order)
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- Move to next task while either review has open issues
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## Handling Issues
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### If Subagent Asks Questions
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- Answer clearly and completely
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- Provide additional context if needed
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- Don't rush them into implementation
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### If Reviewer Finds Issues
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- Implementer subagent (or a new one) fixes them
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- Reviewer reviews again
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- Repeat until approved
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- Don't skip the re-review
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### If Subagent Fails a Task
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- Dispatch a new fix subagent with specific instructions about what went wrong
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- Don't try to fix manually in the controller session (context pollution)
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## Efficiency Notes
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**Why fresh subagent per task:**
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- Prevents context pollution from accumulated state
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- Each subagent gets clean, focused context
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- No confusion from prior tasks' code or reasoning
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**Why two-stage review:**
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- Spec review catches under/over-building early
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- Quality review ensures the implementation is well-built
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- Catches issues before they compound across tasks
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**Cost trade-off:**
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- More subagent invocations (implementer + 2 reviewers per task)
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- But catches issues early (cheaper than debugging compounded problems later)
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## Integration with Other Skills
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### With writing-plans
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This skill EXECUTES plans created by the writing-plans skill:
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1. User requirements → writing-plans → implementation plan
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2. Implementation plan → subagent-driven-development → working code
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### With test-driven-development
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Implementer subagents should follow TDD:
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1. Write failing test first
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2. Implement minimal code
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3. Verify test passes
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4. Commit
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Include TDD instructions in every implementer context.
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### With requesting-code-review
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The two-stage review process IS the code review. For final integration review, use the requesting-code-review skill's review dimensions.
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### With systematic-debugging
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If a subagent encounters bugs during implementation:
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1. Follow systematic-debugging process
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2. Find root cause before fixing
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3. Write regression test
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4. Resume implementation
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## Example Workflow
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```
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[Read plan: docs/plans/auth-feature.md]
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[Create todo list with 5 tasks]
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--- Task 1: Create User model ---
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[Dispatch implementer subagent]
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Implementer: "Should email be unique?"
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You: "Yes, email must be unique"
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Implementer: Implemented, 3/3 tests passing, committed.
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[Dispatch spec reviewer]
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Spec reviewer: ✅ PASS — all requirements met
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[Dispatch quality reviewer]
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Quality reviewer: ✅ APPROVED — clean code, good tests
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[Mark Task 1 complete]
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--- Task 2: Password hashing ---
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[Dispatch implementer subagent]
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Implementer: No questions, implemented, 5/5 tests passing.
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[Dispatch spec reviewer]
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Spec reviewer: ❌ Missing: password strength validation (spec says "min 8 chars")
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[Implementer fixes]
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Implementer: Added validation, 7/7 tests passing.
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[Dispatch spec reviewer again]
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Spec reviewer: ✅ PASS
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[Dispatch quality reviewer]
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Quality reviewer: Important: Magic number 8, extract to constant
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Implementer: Extracted MIN_PASSWORD_LENGTH constant
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Quality reviewer: ✅ APPROVED
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[Mark Task 2 complete]
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... (continue for all tasks)
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[After all tasks: dispatch final integration reviewer]
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[Run full test suite: all passing]
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[Done!]
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```
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## Remember
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```
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Fresh subagent per task
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Two-stage review every time
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Spec compliance FIRST
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Code quality SECOND
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Never skip reviews
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Catch issues early
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```
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**Quality is not an accident. It's the result of systematic process.**
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