cleanup-health-inline

name	cleanup-health-inline
description	Inline orchestration workflow for dead code detection and removal. Provides step-by-step phases for dead-code-hunter detection, priority-based cleanup with dead-code-remover, and verification cycles.
version	2.0.0

Cleanup Health Check (Inline Orchestration)

You ARE the orchestrator. Execute this workflow directly without spawning a separate orchestrator agent.

Workflow Overview

Detection → Validate → Remove by Priority → Verify → Repeat if needed

Max iterations: 3 Priorities: critical → high → medium → low

---

Phase 1: Pre-flight

1. Setup directories:

   mkdir -p .tmp/current/{plans,changes,backups}
   

2. Validate environment:

   • Check package.json exists
   • Check type-check and build scripts exist

3. Initialize TodoWrite:

   [
     {
       "content": "Dead code detection",
       "status": "in_progress",
       "activeForm": "Detecting dead code"
     },
     {
       "content": "Remove critical dead code",
       "status": "pending",
       "activeForm": "Removing critical dead code"
     },
     {
       "content": "Remove high priority dead code",
       "status": "pending",
       "activeForm": "Removing high dead code"
     },
     {
       "content": "Remove medium priority dead code",
       "status": "pending",
       "activeForm": "Removing medium dead code"
     },
     {
       "content": "Remove low priority dead code",
       "status": "pending",
       "activeForm": "Removing low dead code"
     },
     { "content": "Verification scan", "status": "pending", "activeForm": "Verifying cleanup" }
   ]
   

---

Phase 2: Detection

Invoke dead-code-hunter via Task tool:

subagent_type: "dead-code-hunter"
description: "Detect all dead code"
prompt: |
  Scan the entire codebase for dead code:
  - Unused imports and exports
  - Commented out code blocks
  - Unreachable code
  - Debug statements (console.log, debugger)
  - Unused variables and functions
  - Unused dependencies
  - Categorize by priority (critical/high/medium/low)

  Generate: dead-code-report.md

  Return summary with dead code counts per priority.

After dead-code-hunter returns:

1. Read dead-code-report.md
2. Parse dead code counts by priority
3. If zero dead code → skip to Final Summary
4. Update TodoWrite: mark detection complete

---

Phase 3: Quality Gate (Detection)

Run inline validation:

pnpm type-check
pnpm build

• If both pass → proceed to removal
• If fail → report to user, exit

---

Phase 4: Removal Loop

For each priority (critical → high → medium → low):

1. Check if dead code exists for this priority

   • If zero → skip to next priority

2. Update TodoWrite: mark current priority in_progress

3. Invoke dead-code-remover via Task tool:

   subagent_type: "dead-code-remover"
   description: "Remove {priority} dead code"
   prompt: |
     Read dead-code-report.md and remove all {priority} priority dead code.
   
     For each item:
     1. Backup file before editing
     2. Remove dead code
     3. Log change to .tmp/current/changes/cleanup-changes.json
   
     Generate/update: dead-code-cleanup-summary.md
   
     Return: count of removed items, count of failed removals.
   

4. Quality Gate (inline):

   pnpm type-check
   pnpm build
   

   • If FAIL → report error, suggest rollback, exit
   • If PASS → continue

5. Update TodoWrite: mark priority complete

6. Repeat for next priority

---

Phase 5: Verification

After all priorities cleaned:

1. Update TodoWrite: mark verification in_progress

2. Invoke dead-code-hunter (verification mode):

   subagent_type: "dead-code-hunter"
   description: "Verification scan"
   prompt: |
     Re-scan codebase after cleanup.
     Compare with previous dead-code-report.md.
   
     Report:
     - Dead code removed (count)
     - Dead code remaining (count)
     - New dead code introduced (count)
   

3. Decision:

   • If dead_code_remaining == 0 → Final Summary
   • If iteration < 3 AND dead_code_remaining > 0 → Go to Phase 2
   • If iteration >= 3 → Final Summary with remaining items

---

Phase 6: Final Summary

Generate summary for user:

## Cleanup Health Check Complete

**Iterations**: {count}/3
**Status**: {SUCCESS/PARTIAL}

### Results

- Found: {total} dead code items
- Removed: {removed} ({percentage}%)
- Remaining: {remaining}

### By Priority

- Critical: {removed}/{total}
- High: {removed}/{total}
- Medium: {removed}/{total}
- Low: {removed}/{total}

### Validation

- Type Check: {status}
- Build: {status}

### Artifacts

- Detection: `dead-code-report.md`
- Cleanup: `dead-code-cleanup-summary.md`

---

Error Handling

If quality gate fails:

Rollback available: .tmp/current/changes/cleanup-changes.json

To rollback:
1. Read changes log
2. Restore files from .tmp/current/backups/
3. Re-run workflow

If worker fails:

• Report error to user
• Suggest manual intervention
• Exit workflow

---

Key Differences from Old Approach

Old (Orchestrator Agent)	New (Inline Skill)
9+ orchestrator calls	0 orchestrator calls
~1400 lines (cmd + agent)	~150 lines
Context reload each call	Single session context
Plan files for each phase	Direct execution
~10,000+ tokens overhead	~500 tokens

---

Worker Prompts

See references/worker-prompts.md for detailed prompts.