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Wire Commands, Agents, and Skills together for complex features. Use when building features that need research, planning, and implementation phases.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
| name | orchestrate |
| description | Wire Commands, Agents, and Skills together for complex features. Use when building features that need research, planning, and implementation phases. |
Build features through structured phases with validation gates.
/develop <feature>
│
├── Phase 1: Research (orchestrator agent)
│ └── Score confidence → GO/HOLD
│
├── Phase 2: Plan (orchestrator agent)
│ └── Present plan → wait for approval
│
├── Phase 3: Implement (orchestrator agent)
│ └── Execute plan → quality gates
│
└── Phase 4: Review (reviewer agent)
└── Code review → commit
When asked to build a feature:
| Phase | Agent | Why |
|---|---|---|
| Research | scout (background, worktree) | Non-blocking exploration |
| Plan | orchestrator (opus, memory) | Deep reasoning, pattern recall |
| Implement | orchestrator (opus, memory) | Full tool access |
| Review | reviewer (read + bash) | Security and quality focus |
| Debug | debugger (opus, memory) | Systematic investigation |
SkillOpt-flavored offline training loop for any SKILL.md. Treats accumulated learn-rule corrections as training trajectories, proposes bounded patches via an optimizer LLM, gates each candidate against a held-out validation set built from the user's own past corrections, and ships only candidates that demonstrably improve the score. Inspired by Microsoft SkillOpt's ReflACT pipeline (rollout → reflect → aggregate → select → update → evaluate) adapted to pro-workflow's SQLite store. Use when a skill has accumulated 8+ learn-rule rows and the user wants the skill itself to get better, not just longer.
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