Team Brainstorm

What it does

When your agent uses it

• Team brainstorm
• Tasks that involve Brainstorming

Example prompts

• “team brainstorm”
• “/team-brainstorm”

Requirements

• Pre-approved tools (allowed-tools): spawn_agent(*), wait_agent(*), send_message(*), followup_task(*), close_agent(*), list_agents(*), report_agent_job_result(*), request_user_input(*), Read(*), Write(*), Edit(*), Bash(*), Glob(*), Grep(*), mcp__ccw-tools__team_msg(*)

What it can do on your machine

Read from SKILL.md and the folder at commit 07491b0. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves these tools, so the agent can use them without asking each time:

  • spawn_agent(*)
  • wait_agent(*)
  • send_message(*)
  • followup_task(*)
  • close_agent(*)
  • list_agents(*)
  • report_agent_job_result(*)
  • request_user_input(*)
  • Read(*)
  • Write(*)

  …and 5 more on the same allowed-tools line.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md.

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Team Brainstorm loads about 2.3k tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 561 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~58

When it runs · the whole SKILL.md, loaded when a task matches

~2.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

• NotePre-approves every shell command (allowed-tools: Bash)SKILL.md

  allowed-tools: spawn_agent(*), wait_agent(*), send_message(*), followup_task(*), close_agent(*), list_agents(*), re

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from catlog22/Claude-Code-Workflow at commit 07491b0, republished under its MIT licence (© catlog22). 561 words, ~2,330 tokens.

name

team-brainstorm

description

Unified team skill for brainstorming team. Uses team-worker agent architecture with role directories for domain logic. Coordinator orchestrates pipeline, workers are team-worker agents. Triggers on "team brainstorm".

allowed-tools

spawn_agent(*), wait_agent(*), send_message(*), followup_task(*), close_agent(*), list_agents(*), report_agent_job_result(*), request_user_input(*), Read(*), Write(*), Edit(*), Bash(*), Glob(*), Grep(*), mcp__ccw-tools__team_msg(*)

Skill(skill="team-brainstorm", args="topic 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
                 [ideator][challenger][synthesizer][evaluator]

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: <topic-description>
inner_loop: 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: <topic-description>
pipeline_phase: <pipeline-phase>

## Upstream Context
<prev_context>`
})

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

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

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

## Upstream Context
<prev_context>`
})

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

.workflow/.team/BRS-<date>-<slug>/
├── session.json                    # Session metadata + pipeline + gc_round
├── task-analysis.json              # Coordinator analyze output
├── .msg/
│   ├── messages.jsonl              # Message bus log
│   └── meta.json                   # Session state + cross-role state
├── wisdom/                         # Cross-task knowledge
│   ├── learnings.md
│   ├── decisions.md
│   ├── conventions.md
│   └── issues.md
├── ideas/                          # Ideator output
│   ├── idea-001.md
│   └── idea-002.md
├── critiques/                      # Challenger output
│   ├── critique-001.md
│   └── critique-002.md
├── synthesis/                      # Synthesizer output
│   └── synthesis-001.md
└── evaluation/                     # Evaluator output
    └── evaluation-001.md

// Spawn N ideators in parallel, each with a different angle
const ideatorNames = ["IDEA-001", "IDEA-002", "IDEA-003"]
for (const name of ideatorNames) {
  spawn_agent({ agent_type: "team_worker", task_name: name, fork_turns: "none", ... })
}
wait_agent({ timeout_ms: 1800000 })  // 30 min — apply timeout cascade if timed_out
// Collect all idea outputs, feed to challenger as upstream context

// 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

© catlog22, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 10 other files in .codex/skills/team-brainstorm of catlog22/Claude-Code-Workflow.

• SKILL.md
• roles/challenger/role.md
• roles/coordinator/commands/analyze.md
• roles/coordinator/commands/dispatch.md
• roles/coordinator/commands/monitor.md
• roles/coordinator/role.md
• roles/evaluator/role.md
• roles/ideator/role.md
• roles/synthesizer/role.md
• specs/pipelines.md
• specs/team-config.json

Open the folder on GitHubat commit 07491b0