Team Testing

Team Testing

Orchestrate multi-agent test pipeline: strategist -> generator -> executor -> analyst. Progressive layer coverage (L1/L2/L3) with Generator-Critic loops for coverage convergence.

Architecture

Skill(skill="team-testing", 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
                [strat] [gen]  [exec]  [analyst]
                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: TST
• Session path: .workflow/.team/TST-<date>-<slug>/
• Team name: testing
• 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

v4 Agent Coordination

Message Semantics

Parallel Test Generation

Comprehensive pipeline spawns multiple generators (per layer) and executors in parallel:

// Spawn parallel generators for L1 and L2
const genNames = ["TESTGEN-001", "TESTGEN-002"]
for (const name of genNames) {
  spawn_agent({ agent_type: "team_worker", task_name: name, ... })
}
wait_agent({ timeout_ms: 1800000 })  // 30 min — apply timeout cascade if timed_out

GC Loop Coordination

Generator-Critic loops create dynamic TESTGEN-fix and TESTRUN-fix tasks. The coordinator tracks gc_rounds[layer] and creates fix tasks dynamically when coverage is below target.

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: "TESTGEN-001", message: "..." }) -- queue strategy context to running generator
• close_agent({ target: "TESTRUN-001" }) -- cleanup by name after wait_agent returns

Completion Action

When pipeline completes, coordinator presents:

functions.request_user_input({
  questions: [{
    question: "Testing pipeline complete. What would you like to do?",
    header: "Completion",
    multiSelect: false,
    options: [
      { label: "Archive & Clean (Recommended)", description: "Archive session, clean up team" },
      { label: "Keep Active", description: "Keep session for follow-up work" },
      { label: "Deepen Coverage", description: "Add more test layers or increase coverage targets" }
    ]
  }]
})

Session Directory

.workflow/.team/TST-<date>-<slug>/
├── .msg/messages.jsonl     # Team message bus
├── .msg/meta.json          # Session metadata
├── wisdom/                 # Cross-task knowledge
├── strategy/               # Strategist output
├── tests/                  # Generator output (L1-unit/, L2-integration/, L3-e2e/)
├── results/                # Executor output
└── analysis/               # Analyst output

Specs Reference

• specs/pipelines.md — Pipeline definitions and task registry
• specs/team-config.json — Team configuration

Error Handling