brainstorming

A structured conversation process for turning a vague creative or software request into an agreed design before implementation. It requires context discovery, one question at a time, alternative approaches, and written approval.

In plain words
What is it for?
Use it before building features, components, or behavior changes when the requirements or design are still unclear.
Why use it?
It reduces premature coding and exposes missing decisions, unnecessary complexity, and trade-offs before work begins.

Skill for Claude CodeCodex

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/itmisx/deepx-code/brainstorming
Any agent
npx skills add itmisx/deepx-code --skill brainstorming
Clone the repo
git clone --depth 1 https://github.com/itmisx/deepx-code

Made for: Claude Code, Codex.

Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 628 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 $0.00064 $0.00628
Opus 5 $0.00032 $0.00314
Sonnet 5 $0.00013 $0.00126
Haiku 4.5 $0.00006 $0.00063

Measured 2d ago against content hash a16f0aafcb54, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 2d 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.

skill/skills/brainstorming/SKILL.md · 42 lines

What it actually says

头脑风暴:先把需求想清楚

移植自 superpowers(MIT)。

硬性闸门

在你拿出一份设计、且用户明确批准之前,不要写任何代码、不要搭脚手架、不要执行任何实现动作。

在 deepx 里可以切到 /plan 模式(Write/Bash 关闭)做只读探索,从机制上挡住"手痒先写"。

流程

按顺序走,别跳:

  1. 探索上下文。用 Read/Grep/Tree/CodeGraph 摸清现有代码与约定,别凭空假设。
  2. 一次只问一个问题。不要一口气抛一堆问题压垮用户。问完一个,听完回答,再问下一个。
  3. 提 2–3 种方案,讲清取舍。不要默默选一个就上。把备选摆出来,说明各自的代价。
  4. 分块呈现设计:目标、模块划分、接口、数据流、边界情况。
  5. 写下设计文档(可放 docs/ 下),不要只停留在对话里。
  6. 自审:设计是否完整?有没有没定的地方?有没有 YAGNI 该砍的?
  7. 拿用户对"写下来的设计"的批准——不是对口头描述的模糊点头。
  8. 批准后再动手实现;先把工作拆成小步、每步想清"怎么算成功",再逐步写。拿到批准前不要写代码。

设计原则

  • 拆成小单元:每个单元一个清晰职责、通过明确接口通信、能被独立理解和测试。
  • 狠心 YAGNI:没要求的功能、没用到的"灵活性"、不可能发生的错误处理——全砍。
  • 先提替代再定方案:一上来就锁定单一方案,往往错过更简单的路。

红旗

  • 还没拿到批准就开始写代码 / 建文件。
  • 一次问用户五个问题。
  • 只给一个方案,不讲取舍。
  • 设计只在脑子里/对话里,没落成文字就开干。
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. 2d ago First seen · 42 lines · 64 tokens per session scan A a16f0aafcb54

Subscribe to this mod's changes

brainstorming is a skill published in the GitHub repository itmisx/deepx-code (383 stars, last pushed 7d ago), licensed MIT. It adds 64 tokens to every session and 628 once invoked, about $0.0003 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 2026-08-30.