brainstorming

brainstorming is a skill for Claude Code, Codex from s977043/PlanGate. It costs 123 tokens per session (2,477 once invoked), scanned A, original, MIT.

A conversational design process that turns a rough feature idea or unclear requirement into an approved design document. It asks focused questions and considers several implementation approaches before code is written.

In plain words
What is it for?
Use it to clarify goals, users, scope, constraints, existing code patterns, and technical options before implementation.
Why use it?
It prevents developers from coding against an incomplete understanding of the problem and reduces rework caused by unclear requirements.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); mentions Codex.

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/s977043/plangate/brainstorming
Any agent
npx skills add s977043/PlanGate --skill brainstorming
Clone the repo
git clone --depth 1 https://github.com/s977043/PlanGate

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for brainstorming

README.md
[![agentmods](https://agentmods.dev/badge/skills/s977043/plangate/brainstorming.svg)](https://agentmods.dev/skills/s977043/plangate/brainstorming)
Your own site
<a href="https://agentmods.dev/skills/s977043/plangate/brainstorming"><img src="https://agentmods.dev/badge/skills/s977043/plangate/brainstorming.svg" alt="Measured on agentmods" height="20"></a>
Per session 123 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,477 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00123 $0.02477
Opus 5 $0.00062 $0.01239
Sonnet 5 $0.00025 $0.00495
Haiku 4.5 $0.00012 $0.00248

Measured 6d ago against content hash 8d1bdd0329d4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

brainstorming scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/brainstorming/SKILL.md · 205 lines

How it starts

The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Brainstorming

アイデアや曖昧な要件を、対話的なドリルダウンで設計書(PBI INPUT PACKAGE)に昇華する。

Iron Law

NO CODE WITHOUT APPROVED DESIGN FIRST

設計が承認されるまで、一切のコード実装を禁止する。「シンプルだから」「急いでいるから」は理由にならない。

Common Rationalizations

こう思ったら 現実
「シンプルだから設計不要」 シンプルなタスクほど設計が速い。省略する理由にならない
「前に似たことをやったから分かる」 コードベースは変化する。今の状態を調査しろ
「ユーザーが急いでいるから質問を省略」 曖昧なまま進めると手戻りの方が遅い

核心原則: コードを書く前に、ユーザーが本当に何を求めているかを確認する。

Philosophy

  • 1質問ずつ: 一度に複数の質問をしない。ユーザーの回答を受けてから次の質問を決める
  • YAGNI: 「将来必要になるかも」は削る。今必要な最小構成を設計する
  • 代替案を提示: 最初のアイデアに飛びつかない。2-3のアプローチをトレードオフ付きで提示する
  • 既存パターン優先: コードベースの既存実装を調査し、一般論ではなくプロジェクト固有のパターンに従う
  • インクリメンタル承認: 各ステップでユーザーの承認を得てから次に進む

8ステップ プロセス

Step 1: プロジェクトコンテキスト探索

ユーザーのアイデアを聞いた後、まずコードベースを調査する。

調査対象:
□ 関連する既存コード(Grep/Globで検索)
□ 類似機能の実装パターン
□ アーキテクチャの制約
□ 関連するテストパターン

出力: 関連コードと制約の要約をユーザーに報告する。

Step 2: 明確化質問(1つずつ)

ユーザーの意図を正確に把握するため、1つずつ質問する。

質問の優先順位:

  1. Why: なぜこの機能が必要か?(ユーザーの課題・目的)
  2. Who: 誰が使うか?(エンドユーザー、管理者、API利用者)
  3. What: 具体的に何ができるようになるか?(受入基準)
  4. Scope: 何をやらないか?(明示的な除外範囲)
  5. Constraints: 技術的制約、期限、依存関係は?

ルール:

  • 回答から次の質問を導出する(スクリプト的に全質問を投げない)
  • 3-5問で十分な理解が得られたら次のステップへ進む
  • ユーザーが「もう十分」と言ったら即座に次へ

Step 3: アプローチ提案

2-3のアプローチを提示する。各アプローチには:

### アプローチ A: {名前}

**概要**: 1-2文で説明
**トレードオフ**:
- メリット
- デメリット・リスク
**変更範囲**: {影響するファイル数・領域}
**工数目安**: 小 / 中 / 大

ルール:

  • 最もシンプルなアプローチを最初に提示する
  • 各アプローチの「やらないこと」を明確にする
  • ユーザーが選びやすいよう推奨を示す(ただし押し付けない)

Step 4: ユーザー承認チェックポイント

ユーザーにアプローチを選んでもらう。

「アプローチ A/B/C のどれで進めますか?
また、変更・追加したい点があれば教えてください。」

Step 5: 設計書ドラフト作成

選ばれたアプローチを基に、pbi-input.md形式の設計書を作成する。

# PBI INPUT PACKAGE: {タイトル}

> 生成日: YYYY-MM-DD
> 生成方法: brainstormingスキル

## Context / Why
{なぜやるか。ユーザーの課題・目的}

## What(Scope)

### In scope
{やること。具体的な機能・振る舞い}

### Out of scope
{やらないこと。明示的な除外範囲}

## 受入基準
- [ ] {基準1}
- [ ] {基準2}
- [ ] {基準3}

## Notes from Refinement
{議論で決まったこと。ブレスト中の意思決定を記録}

## Estimation Evidence

### Risks
{リスク}

### Unknowns
{不明点}

### Assumptions
{前提条件}

Read the full file on GitHub · 205 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 205 lines · 123 tokens per session scan A 8d1bdd0329d4

Subscribe to this mod's changes

brainstorming is a skill published in the GitHub repository s977043/PlanGate (2 stars, last pushed 6d ago), licensed MIT. It adds 123 tokens to every session and 2,477 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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