skills/agent-team-orchestration/SKILL.md
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.
npx skillsauth add aaaaqwq/claude-code-skills agent-team-orchestrationInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Production playbook for running multi-agent teams with clear roles, structured task flow, and quality gates.
A builder and a reviewer. The simplest useful team.
Orchestrator (you) — Route tasks, track state, report results
Builder agent — Execute work, produce artifacts
1. Create task record (file, DB, or task board)
2. Spawn builder with:
- Task ID and description
- Output path for artifacts
- Handoff instructions (what to produce, where to put it)
3. On completion: review artifacts, mark done, report
Builder produces artifact → Reviewer checks it → Orchestrator ships or returns
That's the core loop. Everything below scales this pattern.
Every agent has one primary role. Overlap causes confusion.
| Role | Purpose | Model guidance | |------|---------|---------------| | Orchestrator | Route work, track state, make priority calls | High-reasoning model (handles judgment) | | Builder | Produce artifacts — code, docs, configs | Can use cost-effective models for mechanical work | | Reviewer | Verify quality, push back on gaps | High-reasoning model (catches what builders miss) | | Ops | Cron jobs, standups, health checks, dispatching | Cheapest model that's reliable |
→ Read references/team-setup.md when defining a new team or adding agents.
Every task moves through a defined lifecycle:
Inbox → Assigned → In Progress → Review → Done | Failed
Rules:
→ Read references/task-lifecycle.md when designing task flows or debugging stuck tasks.
When work passes between agents, the handoff message includes:
Bad handoff: "Done, check the files."
Good handoff: "Built auth module at /shared/artifacts/auth/. Run npm test auth to verify. Known issue: rate limiting not implemented yet. Next: reviewer checks error handling edge cases."
Cross-role reviews prevent quality drift:
Skip the review step and quality degrades within 3-5 tasks. Every time.
→ Read references/communication.md when setting up agent communication channels. → Read references/patterns.md for proven multi-step workflows.
| File | Read when... | |------|-------------| | team-setup.md | Defining agents, roles, models, workspaces | | task-lifecycle.md | Designing task states, transitions, comments | | communication.md | Setting up async/sync communication, artifact paths | | patterns.md | Implementing specific workflows (spec→build→test, parallel research, escalation) |
Agent produces great work, but you can't find it. Always specify the exact output path in the spawn prompt. Use a shared artifacts directory with predictable structure.
"It's a small change, skip review." Do this three times and you have compounding errors. Every artifact gets at least one set of eyes that didn't produce it.
Silent agents create coordination blind spots. Require comments at: start, blocker, handoff, completion. If an agent goes silent, assume it's stuck.
Assigning browser-based testing to an agent without browser access. Assigning image work to a text-only model. Check capabilities before routing.
The orchestrator routes and tracks — it doesn't build. The moment you start "just quickly doing this one thing," you've lost oversight of the rest of the team.
sessions_spawn directly. This skill is for sustained workflows with multiple handoffs.This skill is for sustained team workflows — recurring collaboration patterns where agents depend on each other's output over multiple tasks.
testing
通用自媒体文章自动发布工具。支持百家号、搜狐号、知乎、微信公众号、小红书、抖音号六个平台的自动化发布流程。使用Playwright自动化实现平台导航和发布,支持通过storageState管理Cookie实现账号切换。
development
# SKILL.md - Model Configuration Status (mcstatus) ## 触发条件 - `/mcstatus` 命令 - 用户询问模型配备、模型配置、model status、模型列表等 ## 功能 实时生成 Agent + Cron 的模型配置报告,展示当前所有 agent 的主模型/fallback链和所有 cron 任务的模型分配。 ## 执行步骤 ### Step 1: 收集 Agent 模型配置 读取各 agent 的 models.json 获取主模型和 fallback 链: ```bash for agent in main ops code quant data research content market finance pm law product sales batch; do config=$(cat ~/.openclaw/agents/$agent/agent/models.json 2>/dev/null) if [ -n "$config" ]; then echo "=== $agent
tools
MCP 服务器智能管理助手。自动检测 MCP 可用性、智能开关、功能问答,提供人性化的 MCP 管理体验。
tools
从GitHub搜索并自动安装配置MCP(Model Context Protocol)服务器工具到Claude配置文件。当用户需要安装MCP工具时触发此技能。工作流程:搜索GitHub上的MCP项目 -> 提取npx配置 -> 添加到~/.claude.json -> 处理API密钥(如有)。