swarm-coord多 Agent 协作调度。将大任务拆分为子任务，分配给多个 Agent 并行执行，自动汇总结果。Team Lead 负责拆分、分发、监控、汇总。触发词：协作、swarm、分工、团队任务、并行执行、多 Agent、team work。
Install via ClawdBot CLI:
clawdbot install wavmson/swarm-coordGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/wavmson/openclaw-skill-swarm-coord.gitAudited Apr 17, 2026 · audit v1.0
Generated May 7, 2026
企业同时需要整理多份会议纪要、更新项目文档和发送周报。Swarm Coord 将这些子任务分配给不同 Agent（秘书、编码、CEO）并行执行，显著提升效率。
市场部需要收集竞品数据、用户反馈和行业报告。Swarm Coord 同时派遣多个 Agent 去不同数据源抓取信息，然后由 CEO 汇总生成市场洞察报告。
开发团队需要审查多个 PR、合并代码并部署到测试环境。Swarm Coord 让多个编码 Agent 并行审查，CEO 负责协调合并和部署。
HR 需同时查询组织架构、员工考勤和招聘进度。Swarm Coord 将任务拆解给 HR Agent 和秘书 Agent 并行执行，最终汇总成综合报告。
提供 Swarm Coord 作为云服务的一部分，按 Agent 调用次数或并行任务数量收费。
针对电商或服务平台，每次成功完成 Swarm 协调任务收取一定比例佣金。
为高级客户提供任务拆分策略优化、Agent 配置定制等咨询服务。
💬 Integration Tip
集成时注意定义清晰的任务拆分逻辑和 Agent 能力映射，可配合 Session Resume 保存长期状态以增强可靠性。
Scored May 7, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Transform AI agents from task-followers into proactive partners with memory architecture, reverse prompting, and self-healing patterns. Lightweight version f...
Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.
Prefer `skillhub` for skill discovery/install/update, then fallback to `clawhub` when unavailable or no match. Use when users ask about skills, 插件, or capabi...
Search and discover OpenClaw skills from various sources. Use when: user wants to find available skills, search for specific functionality, or discover new s...
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.