Claude Cursor Skill

agent-team-orchestration

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 ha

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Part of aaaaqwq/agi-super-team — 46 skills

Install

skills CLI npx skills add https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/agent-team-orchestration
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install aaaaqwq-agi-super-team@llmmart
Git git clone https://github.com/aAAaqwq/AGI-Super-Team.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole aaaaqwq/agi-super-team collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

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 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 when designing task flows or debugging stuck tasks.

Handoffs

When work passes between agents, the handoff message includes:

  1. What was done — summary of changes/output
  2. Where artifacts are — exact file paths
  3. How to verify — test commands or acceptance criteria
  4. Known issues — anything incomplete or risky
  5. What's next — clear next action for the receiving agent

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."

Reviews

Cross-role reviews prevent quality drift:

  • Builders review specs — "Is this feasible? What's missing?"
  • Reviewers check builds — "Does this match the spec? Edge cases?"
  • Orchestrator reviews priorities — "Is this the right work right now?"

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.

Reference Files

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)

Common Pitfalls

Spawning without clear artifact output paths

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.

No review step = quality drift

"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.

Agents not commenting on task progress

Silent agents create coordination blind spots. Require comments at: start, blocker, handoff, completion. If an agent goes silent, assume it's stuck.

Not verifying agent capabilities before assigning

Assigning browser-based testing to an agent without browser access. Assigning image work to a text-only model. Check capabilities before routing.

Orchestrator doing execution work

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.

When NOT to Use This Skill

  • Single-agent setups — Just follow standard AGENTS.md conventions. Team orchestration adds overhead that solo agents don't need.
  • One-off task delegation — Use sessions_spawn directly. This skill is for sustained workflows with multiple handoffs.
  • Simple question routing — If you're just forwarding a question to a specialist, that's a message, not a workflow.

This skill is for sustained team workflows — recurring collaboration patterns where agents depend on each other's output over multiple tasks.

Files (agi-super-team)
  • .clawhub
    • origin.json 156 B
      {
        "version": 1,
        "registry": "https://clawhub.ai",
        "slug": "agent-team-orchestration",
        "installedVersion": "1.0.0",
        "installedAt": 1777595269345
      }
      
  • references
    • communication.md 3.5 KB
      # Communication
      
      How agents coordinate: sync vs async, spawning vs messaging, and artifact sharing.
      
      ## Communication Channels
      
      ### Shared Files (Primary — Async)
      
      The default communication method. Persistent, auditable, no timing dependency.
      
      ```
      /shared/
      ├── specs/          — Requirements, research, analysis
      ├── artifacts/      — Build outputs, deliverables
      ├── reviews/        — Review notes and feedback
      ├── decisions/      — Architecture and product decisions
      ```
      
      **Use for:** Deliverables, specs, reviews, decisions — anything another agent needs to find later.
      
      ### Task Comments (Async)
      
      Attached to specific tasks. Chronological record of progress.
      
      **Use for:** Status updates, blockers, handoff messages, review feedback.
      
      ### sessions_send (Sync — Urgent)
      
      Direct message to a running agent session. Interrupts their current work.
      
      **Use for:**
      - Urgent priority changes ("Drop everything, critical bug")
      - Quick questions that block progress ("Is feature X in scope?")
      - Coordination that can't wait for task comment review
      
      **Don't use for:**
      - Routine updates (use task comments)
      - Delivering artifacts (use shared files)
      - Anything the agent needs to reference later (messages are ephemeral)
      
      ## Spawn vs Send
      
      ### Spawn a new sub-agent when:
      - The task is self-contained with clear inputs and outputs
      - You want isolation — the work shouldn't affect other running sessions
      - The task needs a different model or capability set
      - You're parallelizing — multiple independent tasks at once
      
      ### Send to an existing session when:
      - The agent is already working on related context
      - You need a quick answer, not a full task execution
      - The work is a small addition to something already in progress
      
      **Default to spawn.** It's cleaner. Send is for exceptions.
      
      ## Spawn Prompt Template
      
      Every spawn includes:
      
      ```markdown
      ## Task: [Title]
      **Task ID:** [ID]
      **Role:** [What this agent is]
      **Priority:** [High/Medium/Low]
      
      ### Context
      [What the agent needs to know]
      
      ### Deliverables
      [Exactly what to produce]
      
      ### Output Path
      [Exact directory/file path for artifacts]
      
      ### Handoff
      When complete:
      1. Write artifacts to [output path]
      2. Comment on task with handoff summary
      3. Include: what was done, how to verify, known issues
      ```
      
      **Critical fields:**
      - **Output Path** — Without this, you'll lose the work. Always specify.
      - **Handoff instructions** — Tell the agent exactly how to signal completion.
      
      ## Artifact Conventions
      
      ### Naming
      ```
      /shared/artifacts/[task-id]-[short-name]/
      /shared/specs/[date]-[topic].md
      /shared/decisions/[date]-[title].md
      /shared/reviews/[task-id]-review.md
      ```
      
      ### Rules
      - All deliverables go to `/shared/` — never to personal agent workspaces
      - One directory per task for multi-file outputs
      - Include a brief README or summary at the top of the artifact directory if it contains 3+ files
      - Overwrite previous versions in place — don't create v2, v3 copies
      
      ## Avoiding Communication Failures
      
      **Silent agents:** If an agent doesn't comment within its expected timeframe, assume it's stuck. Check on it or restart the task.
      
      **Lost artifacts:** Always verify the output path exists after a task completes. Agents sometimes write to wrong directories.
      
      **Context gaps:** When spawning, include all context the agent needs. Don't assume it can read other agent sessions or recent conversations. Shared files are the bridge.
      
      **Message timing:** `sessions_send` only works if the target session is active. If unsure, spawn a new session instead.
      
    • patterns.md 4.3 KB
      # Patterns
      
      Proven multi-agent workflows. Copy and adapt.
      
      ## Spec → Review → Build → Test
      
      The full quality loop. Use for any non-trivial feature.
      
      ```
      1. Orchestrator creates task, assigns to Spec Writer
      2. Spec Writer produces spec at /shared/specs/[task]-spec.md
      3. Orchestrator assigns spec review to Builder (feasibility check)
      4. Builder reviews: "feasible" / "change X because Y"
      5. If changes needed → back to Spec Writer → re-review
      6. Orchestrator assigns build to Builder
      7. Builder produces artifacts at /shared/artifacts/[task]/
      8. Orchestrator assigns review to Reviewer
      9. Reviewer approves or returns with feedback
      10. If returned → Builder fixes → re-review
      11. Orchestrator marks Done, reports to stakeholders
      ```
      
      **Key:** The person who writes the spec doesn't review the build. The person who builds doesn't approve their own work. Cross-role verification is the whole point.
      
      ### Minimal version (2 agents):
      ```
      1. Orchestrator writes brief spec
      2. Builder implements
      3. Orchestrator reviews output
      4. Done or return for fixes
      ```
      
      ## Parallel Research
      
      Multiple agents research independently, then merge. Use for broad investigation.
      
      ```
      1. Orchestrator defines research question + splits into angles
      2. Spawn Agent A: "Research [angle 1], write findings to /shared/specs/research-[topic]-a.md"
      3. Spawn Agent B: "Research [angle 2], write findings to /shared/specs/research-[topic]-b.md"
      4. Wait for both to complete
      5. Orchestrator (or designated agent) merges into /shared/specs/research-[topic]-final.md
      6. Use merged research to inform next decision
      ```
      
      **Rules:**
      - Define non-overlapping angles to avoid duplicate work
      - Set a time/scope limit per agent — research expands to fill available time
      - The merge step is mandatory — raw research without synthesis is useless
      
      ## Escalation
      
      Agent hits a blocker it can't resolve. Structured escalation prevents stalling.
      
      ```
      1. Agent comments on task: "Blocked: [specific problem]"
      2. Agent continues with other work if possible (don't idle)
      3. Orchestrator sees blocker, decides:
         a. Resolve directly (answer the question, provide access)
         b. Reassign to a more capable agent
         c. Escalate to human stakeholder
         d. Deprioritize/defer the task
      4. Orchestrator comments decision and unblocks or reassigns
      ```
      
      **Escalation triggers:**
      - Missing access or credentials
      - Ambiguous requirements that need product decisions
      - Technical blocker outside agent's expertise
      - Task exceeds estimated scope by 2x+
      
      **Anti-pattern:** Agent silently struggling for 30 minutes instead of escalating after 10. Set the expectation: escalate early, escalate with context.
      
      ## Cron-Based Ops
      
      Scheduled tasks for team health. Assign to the cheapest reliable agent.
      
      ### Daily Standup
      ```
      Schedule: Every morning
      Agent: Ops
      
      1. Read all open tasks
      2. Check for stale tasks (no comment in 24h+)
      3. Check for overdue tasks
      4. Produce standup summary:
         - What completed yesterday
         - What's in progress
         - What's blocked
         - What's stale
      5. Post to orchestrator or team channel
      ```
      
      ### Task Dispatch
      ```
      Schedule: Every few hours (or on trigger)
      Agent: Orchestrator
      
      1. Check inbox for new tasks
      2. Prioritize by urgency/importance
      3. Match to available agents (check capabilities)
      4. Assign and spawn
      ```
      
      ### Health Check
      ```
      Schedule: Periodic
      Agent: Ops
      
      1. Verify shared directories exist and are writable
      2. Check for orphaned tasks (assigned but no agent session)
      3. Check for artifact path conflicts
      4. Report anomalies to orchestrator
      ```
      
      ## Batch Processing
      
      Multiple similar tasks that can run in parallel.
      
      ```
      1. Orchestrator creates N tasks from a list
      2. Spawn up to M agents in parallel (M ≤ concurrency limit)
      3. Each agent picks one task, completes it, writes output
      4. Orchestrator collects results as agents finish
      5. Spawn next batch if more tasks remain
      6. Final aggregation once all tasks complete
      ```
      
      **Sizing:** Start with 2-3 parallel agents. More isn't always faster — coordination overhead grows.
      
      ## Review Rotation
      
      Prevent review fatigue and bias by rotating reviewers.
      
      ```
      Task produced by Agent A → Reviewed by Agent B
      Task produced by Agent B → Reviewed by Agent C
      Task produced by Agent C → Reviewed by Agent A
      ```
      
      **Why:** Same reviewer for the same builder creates blind spots. Rotation catches different things.
      
    • task-lifecycle.md 3.5 KB
      # Task Lifecycle
      
      Task states, transitions, comment conventions, and decision logging.
      
      ## States
      
      ```
      Inbox → Assigned → In Progress → Review → Done | Failed
      ```
      
      | State | Meaning | Owner |
      |-------|---------|-------|
      | **Inbox** | New task, unassigned | Orchestrator |
      | **Assigned** | Agent selected, not yet started | Orchestrator |
      | **In Progress** | Agent actively working | Assigned agent |
      | **Review** | Work complete, awaiting verification | Reviewer |
      | **Done** | Verified and shipped | Orchestrator |
      | **Failed** | Abandoned with documented reason | Orchestrator |
      
      ## Transition Rules
      
      **Orchestrator transitions:**
      - Inbox → Assigned (picks the agent)
      - Assigned → In Progress (spawns the agent or sends the task)
      - Review → Done (accepts the deliverable)
      - Any state → Failed (with reason)
      
      **Agents transition:**
      - In Progress → Review (submits deliverable with handoff comment)
      
      **Reviewers transition:**
      - Review → In Progress (returns with feedback — agent must address it)
      - Review → Done (approves — orchestrator confirms)
      
      **Never skip Review.** The orchestrator may override for trivial tasks, but document it.
      
      ## Comment Conventions
      
      Every state change gets a comment. Format:
      
      ```
      [Agent] [Action]: [Details]
      ```
      
      ### Required comments:
      
      **Starting work:**
      ```
      [Builder] Starting: Picking up auth module. Questions: Should rate limiting be per-user or per-IP?
      ```
      
      **Blocker found:**
      ```
      [Builder] Blocked: Need API credentials for the payment gateway. Who has access?
      ```
      
      **Submitting for review:**
      ```
      [Builder] Handoff: Auth module complete at /shared/artifacts/auth/.
      - Added JWT validation middleware
      - Tests at /shared/artifacts/auth/tests/
      - Run `npm test -- --grep auth` to verify
      - Known issue: refresh token rotation not implemented (out of scope per spec)
      - Next: Reviewer checks error handling paths
      ```
      
      **Review feedback:**
      ```
      [Reviewer] Feedback: Two issues found.
      1. Missing input validation on email field — SQL injection risk
      2. Error messages expose internal paths in production mode
      Returning to builder. Fix both, then resubmit.
      ```
      
      **Completion:**
      ```
      [Reviewer] Approved: All issues addressed. Auth module ready to ship.
      ```
      
      **Failure:**
      ```
      [Orchestrator] Failed: Deprioritized — superseded by new auth provider integration. Preserving spec at /shared/specs/auth-v1.md for reference.
      ```
      
      ## Decision Logging
      
      Architecture or product decisions made during task execution go in a shared decisions directory.
      
      ```markdown
      # Decision: [Title]
      **Date:** YYYY-MM-DD
      **Author:** [Agent]
      **Status:** Proposed | Accepted | Rejected
      **Task:** [Task ID if applicable]
      
      ## Context
      Why this decision came up.
      
      ## Options Considered
      1. Option A — tradeoffs
      2. Option B — tradeoffs
      
      ## Decision
      What was chosen and why.
      
      ## Consequences
      What changes as a result.
      ```
      
      **When to log a decision:**
      - Choosing between two valid architectural approaches
      - Changing a spec during implementation
      - Rejecting a requirement as infeasible
      - Any choice that future agents will wonder "why did we do it this way?"
      
      ## Multi-Step Task Workflows
      
      Complex tasks split into sub-tasks. Track the parent relationship:
      
      ```
      Task #12: Build user dashboard
        ├── #12a: Write spec (Assigned: Spec writer)
        ├── #12b: Review spec (Assigned: Builder — feasibility check)
        ├── #12c: Build frontend (Assigned: Builder)
        ├── #12d: Build API endpoints (Assigned: Builder)
        └── #12e: Integration test (Assigned: Reviewer)
      ```
      
      The orchestrator tracks the parent task and only marks it Done when all sub-tasks complete.
      
    • team-setup.md 3.6 KB
      # Team Setup
      
      How to define agents, assign roles, select models, and isolate workspaces.
      
      ## Define Roles First, Then Agents
      
      Start with the work, not the agents. List the types of work, then create roles to cover them.
      
      **Minimal team (2 agents):**
      ```
      Orchestrator — routes tasks, tracks state
      Builder      — executes work
      ```
      
      **Standard team (3-4 agents):**
      ```
      Orchestrator — routes, prioritizes, reports to stakeholders
      Builder      — produces artifacts (code, docs, configs)
      Reviewer     — verifies quality, catches gaps
      Ops          — scheduled tasks, health checks, mechanical work
      ```
      
      **Rule:** One agent, one primary role. An agent can do secondary work, but its role determines what it's optimized for.
      
      ## Model Selection Per Role
      
      Match model cost to the cognitive demands of the role.
      
      | Role | Needs | Model tier |
      |------|-------|-----------|
      | Orchestrator | Judgment, prioritization, multi-context reasoning | Top tier (e.g., Claude Opus, GPT-4.5) |
      | Builder | Code generation, following specs, producing artifacts | Mid-to-top tier depending on complexity |
      | Reviewer | Critical analysis, catching edge cases, feasibility | Top tier — reviewers catch what builders miss |
      | Ops | Following templates, running scripts, dispatching | Cheapest reliable model (e.g., GPT-4o-mini, Haiku) |
      
      **Don't waste expensive models on mechanical work.** Cron-based standups, file organization, and template-following tasks don't need frontier reasoning.
      
      ## Workspace Isolation
      
      Each agent operates in its own workspace to prevent interference.
      
      ```
      /workspace/
      ├── agents/
      │   ├── builder/          — Builder's personal workspace
      │   │   └── SOUL.md       — Builder's identity and instructions
      │   ├── reviewer/         — Reviewer's personal workspace
      │   │   └── SOUL.md
      │   └── ops/
      │       └── SOUL.md
      ├── shared/               — Shared across all agents
      │   ├── specs/            — Requirements and specifications
      │   ├── artifacts/        — Build outputs
      │   ├── reviews/          — Review notes and feedback
      │   └── decisions/        — Architecture and product decisions
      ```
      
      **Rules:**
      - Agents read/write their own workspace freely
      - Agents write deliverables to `/shared/` — never to personal workspaces
      - Agents can read any shared directory
      - Orchestrator can read all workspaces for oversight
      
      ## Identity Files (SOUL.md)
      
      Each agent gets a SOUL.md that defines:
      
      1. **Role and scope** — What this agent does and doesn't do
      2. **Communication style** — How it writes comments, reports, asks questions
      3. **Boundaries** — What requires escalation vs. autonomous action
      4. **Team context** — Who else is on the team and how to interact with them
      
      Example SOUL.md for a builder agent:
      
      ```markdown
      # SOUL.md — Builder
      
      I build what the specs say. My job is execution, not product decisions.
      
      ## Scope
      - Implement features per approved specs
      - Write tests for what I build
      - Document non-obvious decisions in code comments
      - Hand off with clear verification steps
      
      ## Boundaries
      - Spec unclear? Ask the orchestrator, don't guess
      - Architecture change needed? Propose it, don't just do it
      - Blocked for >10 minutes? Comment on the task and move on
      
      ## Handoff Format
      Every completed task includes:
      1. What I changed and why
      2. File paths for all artifacts
      3. How to test/verify
      4. Known limitations
      ```
      
      ## Adding a New Agent
      
      1. Create the workspace directory
      2. Write its SOUL.md
      3. Update the team protocol with its role
      4. Verify it has the capabilities it needs (browser, tools, API access)
      5. Start with a small task to validate the setup before loading it into the rotation
      
  • SKILL.md 5.6 KB
    ---
    name: agent-team-orchestration
    description: "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."
    ---
    
    # 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 between agents, the handoff message includes:
    
    1. **What was done** — summary of changes/output
    2. **Where artifacts are** — exact file paths
    3. **How to verify** — test commands or acceptance criteria
    4. **Known issues** — anything incomplete or risky
    5. **What's next** — clear next action for the receiving agent
    
    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."*
    
    ### Reviews
    
    Cross-role reviews prevent quality drift:
    
    - **Builders review specs** — "Is this feasible? What's missing?"
    - **Reviewers check builds** — "Does this match the spec? Edge cases?"
    - **Orchestrator reviews priorities** — "Is this the right work right now?"
    
    Skip the review step and quality degrades within 3-5 tasks. Every time.
    
    → *Read [references/communication.md](references/communication.md) when setting up agent communication channels.*
    → *Read [references/patterns.md](references/patterns.md) for proven multi-step workflows.*
    
    ## Reference Files
    
    | File | Read when... |
    |------|-------------|
    | [team-setup.md](references/team-setup.md) | Defining agents, roles, models, workspaces |
    | [task-lifecycle.md](references/task-lifecycle.md) | Designing task states, transitions, comments |
    | [communication.md](references/communication.md) | Setting up async/sync communication, artifact paths |
    | [patterns.md](references/patterns.md) | Implementing specific workflows (spec→build→test, parallel research, escalation) |
    
    ## Common Pitfalls
    
    ### Spawning without clear artifact output paths
    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.
    
    ### No review step = quality drift
    "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.
    
    ### Agents not commenting on task progress
    Silent agents create coordination blind spots. Require comments at: start, blocker, handoff, completion. If an agent goes silent, assume it's stuck.
    
    ### Not verifying agent capabilities before assigning
    Assigning browser-based testing to an agent without browser access. Assigning image work to a text-only model. Check capabilities before routing.
    
    ### Orchestrator doing execution work
    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.
    
    ## When NOT to Use This Skill
    
    - **Single-agent setups** — Just follow standard AGENTS.md conventions. Team orchestration adds overhead that solo agents don't need.
    - **One-off task delegation** — Use `sessions_spawn` directly. This skill is for sustained workflows with multiple handoffs.
    - **Simple question routing** — If you're just forwarding a question to a specialist, that's a message, not a workflow.
    
    This skill is for **sustained team workflows** — recurring collaboration patterns where agents depend on each other's output over multiple tasks.
    
  • _meta.json 143 B
    {
      "ownerId": "kn77yy30hx6jk3x3j2dwc9tj3d808mp4",
      "slug": "agent-team-orchestration",
      "version": "1.0.0",
      "publishedAt": 1770912001303
    }

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