Team Frontend Development

Unified team skill: frontend development with built-in ui-ux-pro-max design intelligence. Covers requirement analysis, design system generation, frontend implementation, and quality assurance. Built on team-worker agent architecture — all worker roles share a single agent definition with role-specific Phase 2-4 loaded from role.md specs.

Architecture

Skill(skill="team-frontend", args="task description")
                    |
         SKILL.md (this file) = Router
                    |
     +--------------+--------------+
     |                             |
  no --role flag              --role <name>
     |                             |
  Coordinator                  Worker
  roles/coordinator/role.md    roles/<name>/role.md
     |
     +-- analyze -> dispatch -> spawn workers -> STOP
                                    |
                    +-------+-------+-------+
                    v       v       v       v
               [analyst] [architect] [developer] [qa]
              (team-worker agents, each loads roles/<role>/role.md)

Role Registry

Role Router

Parse $ARGUMENTS:

• Has --role <name> → Read roles/<name>/role.md, execute Phase 2-4
• No --role → roles/coordinator/role.md, execute entry router

Delegation Lock

Coordinator is a PURE ORCHESTRATOR. It coordinates, it does NOT do.

Before calling ANY tool, apply this check:

If a tool call is BLOCKED: STOP. Create a task, spawn a worker.

No exceptions for "simple" tasks. Even a single-file read-and-report MUST go through spawn_agent.

Shared Constants

• Session prefix: FE
• Session path: .workflow/.team/FE-<date>-<slug>/
• CLI tools: ccw cli --mode analysis (read-only), ccw cli --mode write (modifications)
• Message bus: mcp__ccw-tools__team_msg(session_id=<session-id>, ...)

Worker Spawn Template

Coordinator spawns workers using this template:

spawn_agent({
  agent_type: "team_worker",
  task_name: "<task-id>",
  fork_turns: "none",
  message: `## Role Assignment
role: <role>
role_spec: <skill_root>/roles/<role>/role.md
session: <session-folder>
session_id: <session-id>
requirement: <task-description>
inner_loop: <true|false>

Read role_spec file (<skill_root>/roles/<role>/role.md) to load Phase 2-4 domain instructions.

## Task Context
task_id: <task-id>
title: <task-title>
description: <task-description>
pipeline_phase: <pipeline-phase>

## Upstream Context
<prev_context>`
})

After spawning, use wait_agent({ timeout_ms: 1800000 }) to collect results. If result.timed_out, send STATUS_CHECK via followup_task (wait 3 min), then FINALIZE with interrupt (wait 3 min), then mark timed_out and close agents. Use close_agent({ target }) each worker.

Model Selection Guide

Override model/reasoning_effort in spawn_agent when cost optimization is needed:

spawn_agent({
  agent_type: "team_worker",
  task_name: "<task-id>",
  fork_turns: "none",
  model: "<model-override>",
  reasoning_effort: "<effort-level>",
  message: "..."
})

User Commands

Session Directory

.workflow/.team/FE-<slug>-<YYYY-MM-DD>/
├── .msg/
│   ├── messages.jsonl          # Message bus log
│   └── meta.json               # Session state + cross-role state
├── task-analysis.json          # Coordinator analyze output
├── wisdom/                     # Cross-task knowledge
├── analysis/                   # Analyst output
│   ├── design-intelligence.json
│   └── requirements.md
├── architecture/               # Architect output
│   ├── design-tokens.json
│   ├── component-specs/
│   └── project-structure.md
├── qa/                         # QA output
│   └── audit-<NNN>.md
└── build/                      # Developer output

Specs Reference

• specs/pipelines.md — Pipeline definitions and task registry

v4 Agent Coordination

Message Semantics

Pipeline Pattern

Sequential pipeline with GC loops: analyst -> architect -> developer -> QA. In system mode, architect revision (ARCH-002) and developer (DEV-001) may run in parallel after QA-001 arch review.

fork_turns Consideration

Developer workers (DEV-*) benefit from fork_turns: "all" when the coordinator has accumulated significant design context (analysis results, architecture specs, design tokens). This avoids the developer needing to re-read all upstream artifacts:

// Consider fork_turns: "all" for developer in feature/system modes
spawn_agent({
  agent_type: "team_worker",
  task_name: "DEV-001",
  fork_turns: "all",  // Developer gets full coordinator context including design decisions
  message: "..."
})

GC Loop (QA Fix Cycle)

QA may flag FIX_REQUIRED, creating DEV-fix + QA-recheck tasks (max 2 rounds). If QA score remains < 6 after 2 rounds, escalate to user.

Agent Health Check

Use list_agents({}) in handleResume and handleComplete:

// Reconcile session state with actual running agents
const running = list_agents({})
// Compare with tasks.json active_agents
// Reset orphaned tasks (in_progress but agent gone) to pending

Named Agent Targeting

Workers are spawned with task_name: "<task-id>" enabling direct addressing:

• send_message({ target: "DEV-001", message: "..." }) -- queue architecture specs to running developer
• close_agent({ target: "ARCH-001" }) -- cleanup by name after completion

Error Handling