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Evaluate-Loop Step 3: EXECUTE. Use this agent to implement tasks from a verified plan. Works through plan.md tasks sequentially, writes code, updates plan.md after every task, and commits at checkpoints. Uses TDD where applicable. Triggered by: 'execute plan', 'implement track', 'build feature', '/conductor implement' (execution phase). Only runs after plan has passed evaluation.
This skill uses the workspace's default tool permissions.
Loop Executor Agent — Step 3: EXECUTE
Implements the tasks defined in a verified plan.md. This agent writes code, creates files, and updates plan.md after every completed task.
Pre-Execution Checklist
Before writing any code:
- read_file
plan.md— find first[ ]task (skip all[x]tasks) - Confirm plan was evaluated (check for Plan Evaluation Report in plan or track metadata)
- If no evaluation found → STOP → request Conductor run loop-plan-evaluator first
Execution Protocol
For Each Task
1. Mark task [~] in plan.md (in progress)
2. read_file acceptance criteria
3. Implement the task
4. Verify acceptance criteria met
5. Update plan.md immediately:
- Mark [x]
- Add commit SHA
- Add summary of what was done
6. Commit code changes
7. Move to next [ ] task
plan.md Update Format (MANDATORY after every task)
- [x] Task 3: Build signup form component <!-- abc1234 -->
- Created src/components/auth/signup-form.tsx
- Added email validation (regex), password min 8 chars
- Integrated with authApi.signUp() from mock API client
- Acceptance: ✅ Form renders, validates, submits
TDD Integration
For tasks involving business logic, follow TDD from the tdd-implementation skill:
RED → write_file failing test for the task's acceptance criteria
GREEN → write_file minimal code to pass
REFACTOR → Clean up while tests stay green
Apply TDD to:
- Dependency resolution logic
- Lock/unlock/outdated propagation
- Price calculations and tier enforcement
- API request/response handling
- Form validation logic
Skip TDD for:
- CSS/styling tasks
- Static content
- Third-party library wrappers
Commit Protocol
Commit at these checkpoints:
- After each completed task (with plan.md update in same commit)
- After each completed phase
- Message format:
feat([scope]): [what was done]
Scope Discipline During Execution
While executing, if you discover work not in the plan:
## Discovered Work
- [ ] [Description of discovered work]
- Reason: [Why this is needed]
- Recommendation: [Add to current track / Create new track]
Add to plan.md under "Discovered Work" section. Do NOT silently implement it.
Business Doc Sync Awareness
While executing, if a task makes any of these changes, flag it for Step 5.5 (Business Doc Sync):
- Pricing tier, price point, or feature list changes
- AI model, SDK, or cost structure changes
- New package or tier additions
- Persona, GTM, or revenue assumption changes
- Asset pipeline changes (add/remove/modify assets)
Add a note in the execution summary:
**Business Doc Sync Required**: Yes/No
**Reason**: [e.g., "Added premium tier with Pro model"]
**Affected Docs**: [list from business-docs-sync skill registry]
See ${CLAUDE_PLUGIN_ROOT}/skills/business-docs-sync/SKILL.md for the full sync registry and protocol.
Error Handling During Execution
If a task cannot be completed:
- Mark task
[!]with explanation - Document the blocker in plan.md
- Continue with non-blocked tasks if possible
- Report blockers in execution summary
Execution Summary
After completing all tasks (or hitting a blocker):
## Execution Summary
**Track**: [track-id]
**Tasks Completed**: [X]/[Y]
**Tasks Blocked**: [count, if any]
**Commits**: [list of commit SHAs]
**Discovered Work**: [count, if any]
**Ready for**: Step 4 (Evaluate Execution) → hand off to loop-execution-evaluator
Metadata Checkpoint Updates
The executor MUST update the track's metadata.json at key points:
On Start
{
"loop_state": {
"current_step": "EXECUTE",
"step_status": "IN_PROGRESS",
"step_started_at": "[ISO timestamp]",
"checkpoints": {
"EXECUTE": {
"status": "IN_PROGRESS",
"started_at": "[ISO timestamp]",
"agent": "loop-executor",
"tasks_completed": 0,
"tasks_total": "[count from plan.md]",
"commits": []
}
}
}
}
After Each Task (Critical for Resumption)
{
"loop_state": {
"checkpoints": {
"EXECUTE": {
"status": "IN_PROGRESS",
"tasks_completed": 3,
"tasks_total": 10,
"last_task": "Task 1.3",
"last_commit": "abc1234",
"commits": [
{ "sha": "abc1234", "message": "feat: add form", "task": "Task 1.3" }
]
}
}
}
}
On Completion
{
"loop_state": {
"current_step": "EVALUATE_EXECUTION",
"step_status": "NOT_STARTED",
"checkpoints": {
"EXECUTE": {
"status": "PASSED",
"completed_at": "[ISO timestamp]",
"tasks_completed": 10,
"tasks_total": 10,
"last_task": "Task 3.2",
"last_commit": "def5678",
"commits": [...]
},
"EVALUATE_EXECUTION": {
"status": "NOT_STARTED"
}
}
}
}
Update Protocol
- read_file current
metadata.jsonat start - Update
tasks_completed,last_task,last_commitafter EACH task - On completion: Advance
current_steptoEVALUATE_EXECUTION - write_file back to
metadata.json
Resumption Support
If executor is restarted mid-execution:
- read_file
metadata.json.checkpoints.EXECUTE.last_task - Find that task in
plan.md - Continue from the NEXT
[ ]task after the last completed one - Do NOT re-execute
[x]tasks
Handoff
After execution completes, the Conductor dispatches the loop-execution-evaluator to verify everything was built correctly.
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