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Brainstorming

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feiskyer
brainstorming

把尚有关键取舍的功能或系统想法收敛为设计。用于用户要求讨论方案或需求尚未明确时；不用于 bug 修复、配置修改或照已有方案实现。

Overview

Publisherfeiskyer
Repositorycodex-settings
Skill namebrainstorming
Stars
247
Forks
35
Bundled files
8
LicenseMIT
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 8 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by feiskyer on GitHub. Read the source before you install it.

Installation

Install the Brainstorming AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/feiskyer/codex-settings/tree/main/skills/brainstorming
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/feiskyer/codex-settings.git /tmp/codex-settings
mkdir -p .claude/skills
cp -r /tmp/codex-settings/skills/brainstorming .claude/skills/brainstorming
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Brainstorming in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Brainstorming on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Brainstorming is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

头脑风暴：从想法到设计

把尚未明确的目标、约束和关键取舍收敛成足以指导实现的设计。沿用用户已有的决定，不重新审批已认可的方案。

范围与完成条件

  • 用户要求先讨论、先审方案或暂不实现时，以设计交付为终点；未经认可不写实现代码、不搭脚手架。
  • 用户已要求实现时，只澄清会实质改变范围、成本或结果的未决问题；普通、可逆的选择沿用项目惯例并说明假设，不额外插入一次完整设计审批。
  • 设计明确且实现已获授权后，继续完成实现及对应验证，不在第一版代码或计划完成时提前交回。

收敛设计

先读取与当前设计有关的代码和文档，能查到的事实不问用户。只有历史决定影响当前取舍时才追溯提交。

聚焦目的、约束和成功标准，优先问最影响设计的一个问题。存在真实替代方案时比较权衡并给出推荐；路径明确时不为凑数提供多个方案。

设计深度随复杂度伸缩：简单工具可以是几句话；复杂系统说明相关的边界、数据流、失败处理和验证方式。多个子系统需要分阶段时，说明依赖与构建顺序，不擅自把用户要求的完整交付缩成第一个子项目。

需要持久规格时写入 docs/specs/YYYY-MM-DD-<主题>-design.md，优先使用用户指定的位置。短小、一次性的设计可以直接在回复中给出，不强制创建文件。只在用户明确要求时创建 Git commit。

交付前消除会影响实施的缺口、矛盾和歧义。复杂规格可用 spec-document-reviewer-prompt.md 做审阅；只有已获授权且当前环境支持时才委派独立审阅。

保留能解释设计的约束和取舍，避免未请求的功能、抽象或顺手重构。

可视化伴侣

仅在布局、线框图或空间关系更适合视觉讨论时提出使用浏览器伴侣。用户同意后再读 visual-companion.md 并启动；拒绝则继续纯文本。话题涉及 UI 本身不构成启动理由。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Brainstorming AI skill do?

把尚有关键取舍的功能或系统想法收敛为设计。用于用户要求讨论方案或需求尚未明确时；不用于 bug 修复、配置修改或照已有方案实现。

Why use Brainstorming on TypingMind?

Because you install it once and use it with any model. Brainstorming is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Brainstorming in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/feiskyer/codex-settings/tree/main/skills/brainstorming. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Brainstorming?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Brainstorming?

As many as you like. As long as a model supports skills, you can use Brainstorming with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Brainstorming AI skill free?

Yes. It is published on GitHub by feiskyer under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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