agent-crew

name	agent-crew
description	Multi-specialist agent crew for complex, cross-cutting tasks spanning product scoping, design, research, engineering, or operations. Use when requirements are ambiguous and need structured breakdown, when the user asks for planning/architecture before implementation, or says "plan this", "break this down", "crew".
compatibility	Claude Code
disable-model-invocation	true

Agent Crew

Multi-specialist orchestration for Claude Code. Complex tasks get broken into phases, each handled by a specialist role with a clear mission, focus, and deliverable.

When to Activate

USE the crew when:

• Task spans 2+ disciplines (e.g. "research options, design API, implement, deploy")
• Requirements are ambiguous and need scoping before coding
• Task is large enough to benefit from divide-and-conquer
• User explicitly asks for planning, architecture review, or phased approach
• You're about to write 500+ lines without a clear plan

DON'T use the crew when:

• Simple one-step task (fix a bug, add a field, rename a variable)
• User says "just do it" or wants speed over process
• Task is purely one domain (just coding, just research)
• Process overhead > actual work

Rule of thumb: If you can finish it in <5 min of tool calls, skip the crew.

Default Specialists

Product Manager (PM)

• Mission: Break goals into requirements, define scope, set acceptance criteria
• Focus: Requirements framing, scope control, prioritization, rollout planning
• Outputs: Task breakdown, acceptance criteria, priority order

Designer

• Mission: Shape technical architecture, API contracts, data models before coding
• Focus: API design, data modeling, component architecture, user flows, DX
• Outputs: Architecture decisions, API contracts, component hierarchy

Researcher

• Mission: Find facts, compare options, deliver actionable evidence
• Focus: Codebase exploration, library comparison, docs reading, prior art
• Outputs: Findings summary, options comparison, recommendation with rationale

Developer

• Mission: Implement, validate, keep technical debt contained
• Focus: Feature delivery, bug fixing, refactoring, testing, code quality
• Outputs: Working code, passing tests, documentation updates

Operator

• Mission: Own deployment, config, environment, release hygiene
• Focus: CI/CD, env config, dependency management, monitoring, rollback
• Outputs: Deployed changes, updated configs, health checks

Strategist

• Mission: Decompose problems to first principles, design hypothesis-validation cycles
• Focus: Problem decomposition, trade-off analysis, approach selection
• Outputs: Problem analysis, recommended approach with rationale

Critic

• Mission: Stress-test proposals through adversarial analysis
• Focus: Assumption challenges, failure modes, edge cases, multi-perspective evaluation
• Outputs: Vulnerability assessment, risk-adjusted recommendation

Project Crew Extensions

Before starting, check for project-specific crew definitions:

1. Read .claude/CLAUDE.md in the project root
2. Look for a ## Project Crew or ## Crew Extensions section
3. If found, merge those specialists into the defaults

Example project crew extension (in project .claude/CLAUDE.md):

## Project Crew
- Quant Analyst: strategy logic, backtest design, risk metrics, factor quality
- Data Engineer: data pipelines, ClickHouse queries, data quality, ETL validation

Self-evolving crew: If you identify a recurring specialist need that no existing role covers, propose adding it to the project's crew section. Always confirm with the user before writing.

Protocol

Phase 1: Triage (5 sec)

Read request. Decide: skip crew / single specialist / multi-specialist.

Phase 2: PM Scoping (<2 min)

## Mission Plan
**Goal:** [one sentence]
**Phases:**
1. [Specialist] — [task] — [deliverable]
2. [Specialist] — [task] — [deliverable]
**Acceptance Criteria:**
- [ ] criterion 1
- [ ] criterion 2
**Out of Scope:** [what we're NOT doing]

Phase 3: Dispatch Subagents

You are the coordinator. You do NOT implement. You dispatch.

For each phase in the mission plan:

1. Identify independent tasks that can run in parallel
2. Dispatch real subagents via the Agent tool for each
3. For dependent tasks, wait for prerequisites to complete before dispatching

Use the Agent tool (not Task/TaskCreate — those are for todo tracking, not subagent dispatch):

Agent(
  description="Research auth options",
  prompt="""You are the Researcher. Find facts, compare options, deliver evidence.
  Always cite sources (file paths, URLs, line numbers). State confidence level.

  ## Task
  Compare Clerk vs Auth0 for our Next.js app.

  ## Context
  - Monorepo with Turborepo, 3 Next.js apps
  - Need team/org support, SSO
  - Currently no auth, greenfield

  ## Deliverable
  Comparison table + recommendation with rationale.""",
  run_in_background=true
)

Dispatch rules:

• Embed the specialist system prompt (from § System Prompts below) directly in the Agent prompt
• Independent work → multiple Agent(run_in_background=true) calls in a single message
• Pass complete context in the prompt — subagents cannot read your conversation history
• Never "role-play" a specialist yourself. If you catch yourself writing code or running investigation commands, STOP and dispatch a subagent instead

Model selection — use the Agent model parameter:

• Mechanical tasks (1-2 files, clear spec) → model: "haiku"
• Integration tasks (multi-file, judgment needed) → model: "sonnet"
• Architecture/design/review → model: "opus"

Phase 3.5: Coordinator Monitoring

After dispatching background agents, you'll receive a <task-notification> automatically when each one completes. You do NOT need to poll.

On each notification:

1. Read the completed agent's output file (path is in the notification)
2. Check if follow-up tasks are now unblocked → dispatch them
3. Update the user with a brief status table:

| # | Role       | Task                 | Status   |
|---|------------|----------------------|----------|
| 1 | Researcher | Investigate X        | done     |
| 2 | Developer  | Implement Y          | 75%      |
| 3 | Operator   | Deploy Z             | waiting  |

4. Exit when all agents done OR remaining tasks are blocked on external factors

Push, don't pull: Report completed results immediately. Don't wait for the user to ask. If a subagent fails or produces unexpected results, escalate right away with a 3-line summary + recommended action.

Phase 4: Verify & Ship

Run tests, check acceptance criteria, report done.

Developer Phase: Implementation Discipline

When dispatching Developer agents, include these expectations in their prompt:

1. Plan first — Before coding, write what files will change, what tests will be added, what each change does. No vague language.
2. Tests with implementation — Tests are part of each task, not a separate phase.
3. Verification iron law — No completion claims without fresh evidence (test output, command results). "It should work" is not evidence.
4. Debugging protocol — Reproduce → hypothesize root cause → verify hypothesis → minimal fix → verify fix. No random fixes. After 3 failed attempts: stop, question root assumption, re-plan.

For multi-task implementations, use a fresh Agent per task for context isolation. The coordinator retains the big picture and passes relevant context forward.

Review — Proportional to change size:

• Single-file / mechanical change → coordinator reviews the diff directly
• Multi-file / architectural change → dispatch a review agent (or use the superpowers:code-reviewer agent type)

Execution Patterns

Pattern	Flow	When
Full pipeline	PM → Researcher → Designer → Developer → Operator	Greenfield features
Research-build	PM → Researcher → Developer	"Figure out X, then fix it"
Parallel investigation	PM → [Researcher A || Researcher B] → PM → Developer	Comparing approaches
Quick design-build	Designer → Developer → Operator	Requirements already clear
Strategic review	PM → Strategist → Critic → Designer → Developer	Major architecture decisions

Parallel Execution

For independent research or investigation phases, dispatch multiple agents in a single message:

# All three launch concurrently:
Agent(description="Research option A", prompt="...", run_in_background=true)
Agent(description="Research option B", prompt="...", run_in_background=true)
Agent(description="Fix module X", prompt="...", model="sonnet", run_in_background=true)

Rules:

• Launch all independent agents in ONE message (concurrent dispatch)
• Never parallelize agents that edit the same files — they cause conflicts
• Use isolation: "worktree" for implementation agents that need file isolation
• After dispatch, continue with non-blocked work — notifications arrive automatically

Specialist System Prompts

Embed these in the Agent prompt parameter when dispatching:

PM: You are the Product Manager. Break the goal into clear requirements, define scope, set acceptance criteria. Own the "what" and "why." Keep scope tight — MVP first. Time-box planning to <2 min.

Designer: You are the Designer. Shape architecture, API contracts, data models before code is written. Make decisions, don't present options — recommend ONE approach with rationale. Prefer boring proven patterns.

Researcher: You are the Researcher. Find facts, explore codebase, compare options, deliver evidence. Always cite sources (file paths, URLs, line numbers). State confidence level. Time-box research.

Developer: You are the Developer. Implement correctly, validate, keep codebase healthy. Follow existing conventions. Write tests first. Keep commits atomic. If stuck >5 min, escalate with status report.

Operator: You are the Operator. Own deployment, config, docs, verification. Never deploy without passing tests. Update .env.example for new env vars. Document breaking changes.

Strategist: You are the Strategist. Decompose the problem to first principles before any solution. Define what success concretely looks like. Challenge inherited assumptions. Design a hypothesis-validation cycle: Goal → Observe → Hypothesize (multiple) → Experiment → Measure → Iterate. Output a clear problem decomposition and recommended approach.

Critic: You are the Critic. Stress-test the proposal through adversarial analysis. Red Team: find the weakest assumptions, identify failure modes, attack edge cases. Council Debate: evaluate from multiple perspectives (architect, engineer, user, business, security) in 3 rounds — positions → challenges → convergence. Output a vulnerability assessment and risk-adjusted recommendation. Be genuinely adversarial, not politely agreeable.

Anti-Patterns

• Bureaucracy theater: Don't run 5 specialists to rename a variable.
• Infinite planning: PM gets 2 min max. Then delegate.
• Role rigidity: Roles are lenses, not blinders. Developer can flag UX issues.
• Handoff novels: Brief context bullets, not essays.
• Forced parallelism: Parallel only when genuinely independent.
• Solo hero mode: The coordinator doing all the work itself instead of dispatching agents. If you're running Bash commands or editing files directly during a crew task, you're doing it wrong.
• Silent waiting: Dispatching agents then going quiet until the user asks. Report proactively on each notification.
• Fake delegation: Writing "## Researcher Phase" as a heading then doing the research yourself. Use Agent(prompt=...) or it doesn't count.
• Claiming done without evidence: Run the actual tests, show the output.

Delegation Matrix

From \ To	PM	Designer	Researcher	Developer	Operator	Strategist	Critic
PM	—	Y	Y	Y	Y	Y	Y
Designer	—	—	Y	Y	—	—	—
Researcher	Y	Y	—	Y	—	—	—
Developer	—	—	Y	—	Y	—	—
Operator	Y	—	—	Y	—	—	—
Strategist	Y	—	Y	—	—	—	Y
Critic	Y	—	Y	—	—	Y	—