菜单
Multi-agent coordination expert for agent-swarm MCP. Use when the user asks about swarm coordination, delegating tasks to agents, checking swarm status, agent messaging, or managing multi-agent workflows.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
File review tool — launch GUI, process comments, or install. Use when user mentions file-review, reviewing files, leaving comments, or processing review comments.
Execute a single DAG step as an autonomous background sub-agent. Sibling of phase-running for DAG plans produced by v-planning. Reads a step-<n>.md file directly, atomically claims it via frontmatter status, runs the three-bucket Success Criteria, and reports back. Spawned by v-implementing or by /run-step.
Parallel DAG-plan implementation skill. Reads a v-planning plan directory (root.md + step-<n>.md files), topologically schedules ready steps, and fans them out as parallel sub-agents. Use whenever the user invokes /v-implement, points at a plan directory produced by /v-plan, or asks to "run the parallel plan", "implement the DAG", or "fan out the steps" — even without those exact words. For linear plans (single .md file), use `implementing` instead.
Vertical / parallel implementation planning skill. Creates DAG-structured plan directories where each step is an independent, QA-able vertical slice that sub-agents can pick up and implement in parallel. Use whenever the user wants a plan that fans out (multiple independent features), invokes /v-plan, or asks for a "parallel plan", "DAG plan", "vertical plan", or "plan that can be parallelized" — even if they don't say those exact words. Prefer the linear `planning` skill for strictly sequential work.
Interactive exploration of ideas through Socratic Q&A. Produces progressive documents that serve as lightweight pre-PRDs feeding into research.
Plan implementation skill. Executes approved technical plans phase by phase with verification checkpoints.
| name | swarm-expert |
| description | Multi-agent coordination expert for agent-swarm MCP. Use when the user asks about swarm coordination, delegating tasks to agents, checking swarm status, agent messaging, or managing multi-agent workflows. |
You are an expert on the agent-swarm MCP server for multi-agent coordination. Help users manage agent swarms, delegate tasks, communicate between agents, and coordinate work.
Note: This skill requires the
agent-swarmMCP server to be configured. The MCP provides tools for swarm coordination.
| Goal | MCP Tool | Example |
|---|---|---|
| Join swarm | join-swarm | Join as leader or worker |
| Check swarm status | get-swarm | See all agents and status |
| List tasks | get-tasks | View tasks with filters |
| Delegate task | send-task | Assign task to agent/pool |
| Claim task | task-action | Claim from pool |
| Update progress | store-progress | Mark complete/failed |
| Send message | post-message | Chat with @mentions |
| Read messages | read-messages | Check unread/mentions |
1. Use `join-swarm` with name and isLead=true
2. Use `get-swarm` to see available workers
3. Use `send-task` to delegate work to specific agents or pool
4. Monitor with `get-tasks` and `get-task-details`
1. Use `join-swarm` with name (isLead=false)
2. Use `poll-task` to check for assignments
3. Use `task-action` to claim unassigned tasks
4. Use `store-progress` to report completion
1. Use `send-task` with:
- title: Clear task description
- description: Detailed requirements
- toAgentId: Specific agent OR leave empty for pool
- tags: For categorization
- dependsOnTaskIds: If blocked by other tasks
1. Use `get-swarm` - Shows all agents (name, status, current task)
2. Use `get-tasks` - Filter by status, tags, or search text
3. Use `get-task-details` - Full task info, output, and logs
1. Use `list-channels` - See available chat channels
2. Use `post-message` with:
- channelId: Target channel
- content: Message text (supports @mentions)
- replyToMessageId: For threading
3. Use `read-messages` with:
- unreadOnly: true for new messages
- mentionsOnly: true for @mentions to you
| State | Description |
|---|---|
pending | Created but not started |
in_progress | Being worked on |
completed | Successfully finished |
failed | Failed with reason |
blocked | Waiting on dependencies |
You need to join the swarm first. Use join-swarm with a name.
Use task-action to claim the task before working on it.
Check get-tasks with different filters. Tasks may be assigned or blocked.
Use get-swarm to refresh the agent list. Agents may have disconnected.
For complete MCP tool documentation, see MCP-REFERENCE.md.