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Use when executing implementation plans with independent tasks in the current session
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Use when managing the Claude CLI Proxy (ban protector) — start, stop, restart, status, logs, backup, test, setup, or register the proxy in OpenClaw. Triggers on: 'proxy status', 'ban protector', 'start proxy', 'stop proxy', 'proxy health', 'antiban', 'cli proxy'.
Run stateful multi-agent graph workflows using LangGraph (linear, supervisor, parallel, conditional). Use when tasks need dynamic routing, branching logic, or a supervisor agent delegating work. All LLM calls use OpenClaw's existing provider config — no API keys needed. Choose over autogen-collab (debate) and crewai-collab (fixed pipelines) when you need conditional edges, a supervisor making routing decisions, or parallel fan-out with synthesis.
Run multi-agent AutoGen-style debates when tasks need consensus across specialists. Uses OpenClaw's existing provider configuration — no API keys or extra setup needed. Use when: architecture decisions, design reviews, root cause analysis, or complex research where multiple expert perspectives improve the answer. Triggered automatically by Cooper for high-complexity tasks or explicitly via [autogen] tag or "debate this" / "get consensus" instructions.
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Run structured multi-agent workflows using CrewAI (sequential, hierarchical, consensus). Each agent has a defined role, goal, and backstory. Tasks have explicit expected outputs. Use when: structured pipelines (research → design → implement), manager-supervised workflows, or consensus-building with clear acceptance criteria. All LLM calls use OpenClaw's existing provider config — no API keys needed.
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
| name | subagent-driven-development |
| description | Use when executing implementation plans with independent tasks in the current session |
| metadata | {"openclaw":{"emoji":"⚙️"}} |
Execute plan by dispatching fresh subagent per 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
vs. Executing Plans (parallel session):
references/implementer-prompt.md)references/spec-reviewer-prompt.md)references/code-quality-reviewer-prompt.md)references/implementer-prompt.md - Dispatch implementer subagentreferences/spec-reviewer-prompt.md - Dispatch spec compliance reviewer subagentreferences/code-quality-reviewer-prompt.md - Dispatch code quality reviewer subagentvs. Manual execution:
Quality gates:
Never:
If subagent asks questions:
If reviewer finds issues:
Required workflow skills:
Subagents should use:
Alternative workflow: