/team-assemble

name: team-assemble
description: Analyze tasks and dynamically assemble expert agent teams using Claude Code's TeamCreate API. Scouts your codebase, designs optimal agents, and executes with validation.
allowed-tools: [Agent, Bash, Read, Write, Edit, Glob, Grep, AskUserQuestion, TaskCreate, TaskUpdate, TaskList, TaskGet, TeamCreate, TeamDelete, SendMessage]
version: 1.0.0

Team Assemble

Analyze a task, dynamically design the right expert agents, and orchestrate them as a team using Claude Code's agent teams feature.

Prerequisites

Agent teams must be enabled. See `references/enable-agent-teams.md` for setup instructions.

When to Use

• Complex tasks that decompose into 2+ independent subtasks
• Work where role separation is clear (e.g., research + implementation + validation)
• Tasks that benefit from parallel execution

**Do NOT use for:** single-file edits, simple questions, purely sequential work

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Core Principles

• **Model 3-tier** — choose by role purpose (details: `references/agents.md`)
• `opus` — strategy/judgment (scouts, complex execution)
• `sonnet` — standard execution/validation (worker, qa, support)
• `haiku` — exploration/writing (researcher, editor)
• **No fixed catalog** — agents are designed dynamically per task
• **Example bank** — `references/agents.md` provides reference examples (not mandatory)

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Workflow

Phase 1 → Phase 2 → Phase 3 → Phase 4 → Phase 5 → Phase 6
Task       Codebase   Integrate  Execute   Validate   Complete
Analysis   Scouts     & Confirm                       & Cleanup
                                           ↕ FAIL → support fix (max 3x)

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Phase 1: Task Analysis

Analyze the user's request and identify relevant areas of the codebase:

1. Examine project structure, CLAUDE.md files, and README files 2. Identify which parts of the codebase are relevant to the task 3. Determine if codebase scouting (Phase 2) would help, or if the task is straightforward enough to skip to Phase 3

**Get user approval via AskUserQuestion:**

I've analyzed your task and identified the following areas of interest:

- [x] src/auth/ — Authentication module (needs refactoring)
- [x] tests/auth/ — Corresponding tests
- [ ] src/api/ — Not directly affected

I'll scout these areas to design an optimal team.

Options: "Looks good, proceed" / "I'd like to adjust the scope"

For straightforward tasks that don't need codebase exploration, skip Phase 2 and go directly to Phase 3 — design the team yourself using `references/agents.md` as a guide.

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Phase 2: Codebase Scouts (Parallel)

Launch **scout agents** in parallel to explore relevant areas of the codebase.

Scout Configuration

• **Model**: opus
• **subagent_type**: `general-purpose` (constrained to read-only via prompt)
• **Parallel**: launch multiple scouts simultaneously when exploring different areas

Scout Mission

Each scout reads the relevant codebase area and proposes agents for the task:

1. Read key files (CLAUDE.md, README.md, source code, configs) 2. Analyze the intersection between the task and the codebase area 3. Propose agents needed (name, role, tasks, reference files) 4. Reference `references/agents.md` for examples, but freely design new agents

> Prompt template: `references/prompt-templates.md` § Codebase Scout

Scout Output Format

## Scout Report: {area}

### Current State
- {file structure summary}
- {relevance to the task}

### Proposed Agents
| Agent | Role | Tasks | Reference Files |
|-------|------|-------|-----------------|
| {name} | {role} | {task} | {files} |

### Notes
- {area-specific constraints or patterns to follow}

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Phase 3: Integrate & Confirm Team

Merge scout reports into a final team composition:

1. **Deduplicate** — merge similar agent proposals from different scouts 2. **Gap analysis** — check for missing roles 3. **Add qa + support** — validation/fix agents are always included 4. **Dependency graph** — design execution order between agents 5. **Define acceptance criteria** — measurable criteria for Phase 5 validation

Team Proposal

**Get final approval via AskUserQuestion:**

Proposed team: {team-name}

| # | Agent | Role | Tasks | Dependencies |
|---|-------|------|-------|--------------|
| 1 | architect | System design | Design new auth flow | - |
| 2 | implementer | Code changes | Implement the design | #1 |
| 3 | test-writer | Test coverage | Write tests for changes | #2 |
| 4 | qa | Validation | PASS/FAIL against acceptance criteria | #2, #3 |

Acceptance criteria:
- [ ] AC-1: {measurable criterion}
- [ ] AC-2: {measurable criterion}

Options: "Looks good, execute" / "I'd like to adjust roles"

If the user selects "adjust roles", ask what specifically to change. After 2+ revision requests, switch to free-text input.

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Phase 4: Execution

Create Team & Distribute Tasks

TeamCreate(team_name: "{keyword}-team", description: "Task description")

team_name convention: core keyword + `-team`

Create TaskCreate entries for each agent, then set dependencies with TaskUpdate.

Launch Teammates

• **Model**: apply 3-tier based on role (`references/agents.md`)
• **subagent_type**: `"general-purpose"`
• **mode**: `"bypassPermissions"`
• **Parallel**: launch agents without blockedBy dependencies in a single message
• **Sequential**: inject preceding agent results into the next agent's prompt

Teammate Prompt Requirements

1. **Context** — project background and how this task fits the whole 2. **Specific goal** — exactly what to achieve 3. **Reference files** — file paths identified by scouts 4. **Constraints** — what NOT to do, scope limits 5. **Output format** — expected deliverable format 6. **Team info** — team_name, task ID

> Detailed prompt structure: `references/prompt-templates.md`

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Phase 5: Validation

qa (sonnet) evaluates each **acceptance criterion** from Phase 3.

Validation Process

Agent(name: "qa", model: "sonnet", prompt