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Multi-agent parallel orchestration for OpenClaw. Spawn AI agents as a team — parallel research, multi-model comparison, code pipelines. Proven 50-65% time savings. Trigger words: multi-agent, parallel agents, swarm, spawn multiple agents, parallel research, compare models, deep research, comprehensive research, detailed investigation, thorough analysis, research multiple topics, 多智能体, 多个Agent, 并行调研, 并行搜索, 同时搜索, 同时调研, 深度调研, 详细调研, 全面调研, 深度研究, 详细检索, 多角度分析, 全面分析, 多个模型, 让多个AI, 分别搜索, 同时搜索, 组建团队, Agent小队, 多Agent.
Replace one AI with a team of AIs. Turn serial into parallel. Turn hours into minutes.
| Scenario | Example | Speedup |
|---|---|---|
| Parallel research | Search 5 frameworks simultaneously, each writes a report | ~65% ⚡ |
| Multi-model compare | Ask Claude, Gemini, Kimi the same question at the same time | ~50% ⚡ |
| Code pipeline | Plan → Code → Review, auto hand-off in sequence | Quality ↑ |
| Batch processing | Translate / analyze / summarize multiple docs in parallel | Scales linearly |
npx skills add LeoYeAI/openclaw-master-skills --skill claw-multi-agentHow clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
Mostly clear, but there are still a few confusing or poorly structured parts.
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
Mostly actionable with clear steps; only a few small gaps remain.