dojo.md
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
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.
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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 b...
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# Agent Team Orchestration Production playbook for running multi-agent teams with clear roles, structured task flow, and quality gates. ## Quick Start: Minimal 2-Agent Team A builder and a reviewer. The simplest useful team. ### 1. Define Roles ``` Orchestrator (you) — Route tasks, track state, report results Builder agent — Execute work, produce artifacts ``` ### 2. Spawn a Task ``` 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 ``` ### 3. Add a Reviewer ``` Builder produces artifact → Reviewer checks it → Orchestrator ships or returns ``` That's the core loop. Everything below scales this pattern. ## Core Concepts ### Roles 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](references/team-setup.md) when defining a new team or adding agents.* ### Task States Every task moves through a defined lifecycle: ``` Inbox → Assigned → In Progress → Review → Done | Failed ``` **Rules:** - Orchestrator owns state transitions — don't rely on agents to update their own status - Every transition gets a comment (who, what, why) - Failed is a valid end state — capture why and move on → *Read [references/task-lifecycle.md](references/task-lifecycle.md) when designing task flows or debugging stuck tasks.* ### Handoffs When work passes b...
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
macOS WPS Office workflow helper skill for safer document preparation, conversion, export, and compatibility guidance
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