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Agent Skill · 前端设计

brainstorming(头脑风暴)

brainstorming 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

brainstorming 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描已通过,按安装量在前端设计类的 10,216 个 Skill 里排第 8,200。

总安装 306周安装 13GitHub Stars 5下载 107核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:brainstorming(头脑风暴)
来源仓库:https://github.com/ckorhonen/claude-skills
仓库路径:skills/brainstorming
安装命令:
npx skills add https://github.com/ckorhonen/claude-skills --skill brainstorming
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/ckorhonen/claude-skills --skill brainstorming

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

用于将创意转化为具体设计方案和规格说明,提升协作效率。通过自然对话逐步细化需求,输出设计稿前需用户确认。通过命令行安装,建议核验权限范围与维护状态,注意可能触发的联网或文件操作。适用于产品设计初期阶段,避免直接编码导致方向偏差或范围蔓延。

brainstorming 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/brainstorming

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/ckorhonen/claude-skills --skill brainstorming;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

brainstorming 怎么安装?

在终端执行 npx skills add https://github.com/ckorhonen/claude-skills --skill brainstorming。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

brainstorming 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

brainstorming 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

brainstorming 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

brainstorming 用的人多吗?

公开数据是累计安装 306 次,近一周安装 13 次,下载 107 次,GitHub 5 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

brainstorming 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
brainstorming

头脑风暴 · 本页

3065调用外部服务未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Brainstorming Ideas Into Designs

Overview

Help turn ideas into fully formed designs and specs through natural collaborative dialogue.

Start by understanding the current project context, then ask questions one at a time to refine the idea. Once you understand what you're building, present the design and get user approval.

Why Design-First?

Presenting a design before implementation prevents several costly failure modes:

  • Misaligned assumptions — Coding toward the wrong goal is expensive to unwind
  • Scope creep — Design clarifies boundaries; implementation without it invites feature bloat
  • Architecture rework — Early code often creates structural debt that compounds
  • Wasted specialization — Implementation skills are powerful but wasteful without clear direction

This applies to every project, including simple ones. A todo list, single-function utility, or config change can all ship the wrong thing. The design can be concise for simple projects (a few sentences), but it should exist and be approved before implementation begins.

Anti-Pattern: "This Is Too Simple To Need A Design"

See Common Pitfall 1 below for the detailed failure mode and prevention steps.

Workflow

Work through these phases systematically. Each step builds on the previous one:

  1. Explore project context — check files, docs, recent commits to ground the conversation in reality
  2. Ask clarifying questions — one at a time, understand purpose/constraints/success criteria
  3. Propose 2-3 approaches — with trade-offs and your recommendation to show you've considered alternatives
  4. Present design — in sections scaled to their complexity, get user approval after each section
  5. Write design doc — save to docs/plans/YYYY-MM-DD-<topic>-design.md and commit to preserve decisions
  6. Transition to implementation — invoke writing-plans skill to create the detailed implementation plan

Process Flow

digraph brainstorming {
    "Explore project context" [shape=box];
    "Ask clarifying questions" [shape=box];
    "Propose 2-3 approaches" [shape=box];
    "Present design sections" [shape=box];
    "User approves design?" [shape=diamond];
    "Write design doc" [shape=box];
    "Invoke writing-plans skill" [shape=doublecircle];

    "Explore project context" -> "Ask clarifying questions";
    "Ask clarifying questions" -> "Propose 2-3 approaches";
    "Propose 2-3 approaches" -> "Present design sections";
    "Present design sections" -> "User approves design?";
    "User approves design?" -> "Present design sections" [label="no, revise"];
    "User approves design?" -> "Write design doc" [label="yes"];
    "Write design doc" -> "Invoke writing-plans skill";
}

The next step is invoking writing-plans to move from design to detailed planning. Other implementation skills (frontend-design, mcp-builder, etc.) come after the plan is written. This sequencing ensures the implementation plan itself has been validated and can guide the work effectively.

The Process

Understanding the idea:

  • Check out the current project state first (files, docs, recent commits)
  • Ask questions one at a time to refine the idea
  • Prefer multiple choice questions when possible, but open-ended is fine too
  • Only one question per message - if a topic needs more exploration, break it into multiple questions
  • Focus on understanding: purpose, constraints, success criteria

Exploring approaches:

  • Propose 2-3 different approaches with trade-offs
  • Present options conversationally with your recommendation and reasoning
  • Lead with your recommended option and explain why

Presenting the design:

  • Once you believe you understand what you're building, present the design
  • Scale each section to its complexity: a few sentences if straightforward, up to 200-300 words if nuanced
  • Ask after each section whether it looks right so far
  • Cover: architecture, components, data flow, error handling, testing
  • Be ready to go back and clarify if something doesn't make sense

After the Design

Documentation:

  • Write the validated design to docs/plans/YYYY-MM-DD-<topic>-design.md (create the docs/plans/ directory if it doesn't exist: mkdir -p docs/plans)
  • Commit the design document to git

Implementation:

  • Invoke the writing-plans skill to create a detailed implementation plan
  • Do NOT invoke any other skill. writing-plans is the next step.

Key Principles

  • One question at a time - Don't overwhelm with multiple questions
  • Multiple choice preferred - Easier to answer than open-ended when possible
  • YAGNI ruthlessly - Remove unnecessary features from all designs
  • Explore alternatives - Always propose 2-3 approaches before settling
  • Incremental validation - Present design, get approval before moving on
  • Be flexible - Go back and clarify when something doesn't make sense

Examples

Example 1: New Feature Request

User: "Let's add dark mode to the app"

Brainstorming workflow:

  1. Check current theme implementation
  2. Ask: "Should dark mode be automatic (system preference), manual toggle, or both?"
  3. Propose 3 approaches: CSS variables, Tailwind dark: classes, or theme provider
  4. Present design sections: color palette, component updates, storage strategy
  5. Get approval on each section
  6. Write design doc to docs/plans/YYYY-MM-DD-dark-mode-design.md
  7. Invoke writing-plans skill

Expected output: Validated design document + transition to planning

Example 2: Utility Function

User: "I need a function to format phone numbers"

Brainstorming workflow:

  1. Ask: "What formats should it support? (US only, international, etc.)"
  2. Ask: "Should it validate or just format?"
  3. Propose approaches: regex-based, library (libphonenumber), or simple formatter
  4. Present design: function signature, edge cases, error handling
  5. Get approval
  6. Write brief design doc
  7. Invoke writing-plans

Expected output: Even "simple" utilities get a design first

Example 3: Architectural Change

User: "We should migrate from REST to GraphQL"

Brainstorming workflow:

  1. Review current API structure and client usage
  2. Ask: "What's driving this? Performance, developer experience, or specific features?"
  3. Ask: "Is this a gradual migration or big-bang?"
  4. Propose 3 approaches: parallel APIs, GraphQL wrapper over REST, full rewrite
  5. Present design: schema design, migration strategy, backward compatibility
  6. Iteratively present sections, getting approval
  7. Write comprehensive design doc
  8. Invoke writing-plans

Expected output: Multi-phase design with migration strategy

Troubleshooting

Issue: User Keeps Asking "Just Build It"

Symptoms: User wants to skip brainstorming and go straight to code

Cause: Perceives design phase as overhead for "simple" tasks

Solution:

  1. Acknowledge the urgency: "I understand you want to move fast"
  2. Explain the risk: "Without design, we might build the wrong thing"
  3. Propose time-boxed design: "Let me ask 2 quick questions to confirm the approach"
  4. If user still insists, present a minimal design: "Here's what I'm planning to build..."
  5. Get explicit approval before proceeding

Issue: Design Becomes Implementation Plan

Symptoms: Design document includes code snippets, file structures, or step-by-step instructions

Cause: Confusing design (what/why) with planning (how/when)

Solution:

  1. Keep design focused on: architecture, components, data flow, trade-offs
  2. Defer implementation details to writing-plans skill
  3. If you catch yourself writing "Step 1: Create file X", stop and move to planning phase

Issue: User Changes Mind Mid-Implementation

Symptoms: After starting work, user requests different behavior or approach

Cause: Design wasn't concrete enough or assumptions weren't validated

Solution:

  1. Stop implementation immediately
  2. Return to brainstorming mode
  3. Ask clarifying questions about the new requirements
  4. Present revised design
  5. Get explicit approval before resuming implementation
  6. Update design doc with new decisions

Issue: Stuck in Endless Design Iteration

Symptoms: User keeps asking for more options or isn't satisfied with any design

Cause: Unclear success criteria or user isn't sure what they want

Solution:

  1. Step back and ask: "What would the ideal outcome look like?"
  2. Propose a minimal viable version: "What's the smallest thing we could build that would be useful?"
  3. Suggest prototyping: "Should we build a quick prototype to explore this?"
  4. If still stuck, propose time-boxing: "Let's go with Option A and revisit if it doesn't work"

Common Pitfalls

1. Skipping Brainstorming for "Simple" Tasks

What happens: You recognize a task as straightforward (single component, small utility, config change) and proceed directly to implementation, planning to sort out details while coding.

Why it backfires: "Simple" tasks are where assumptions are most dangerous because they feel obvious. You code one behavior, the user expected another, and by the time you learn this the scaffolding is already in place and needs rework.

How to avoid it: Treat simplicity as a reason to make brainstorming *faster*, not to skip it. A 30-second conversation ("This is a single-file utility that does X, right?") prevents a 30-minute refactor. Even explicit agreement on what seems obvious is valuable.

2. Proceeding to Code Before Explicit User Approval

What happens: You present a design, the user asks a clarifying question, and you interpret that as mild interest and start writing code while "thinking about their feedback."

Why it backfires: The user is still evaluating. Code written before approval is often code that needs rewriting. You've signaled that you're moving forward when the design isn't locked down.

How to avoid it: Wait for explicit approval language ("Looks good," "Let's go with that," "Ship it") before invoking writing-plans. A single clarifying question means the design isn't final — revise and re-present.

3. Invoking Implementation Skills Directly Instead of Writing Plans

What happens: After design approval, you're tempted to jump straight to frontend-design, mcp-builder, or another implementation skill rather than invoke writing-plans first.

Why it backfires: Implementation skills are powerful but unstructured. They work best when given a detailed plan that specifies scope, acceptance criteria, and technical decisions. Skipping the plan means the skill has to reinvent it, leading to inefficient work and potential scope creep.

How to avoid it: Always invoke writing-plans as the bridge between brainstorming and implementation. Let it formalize the decisions from brainstorming into a concrete plan that implementation skills can follow.

4. Designs That Are Too Abstract to Implement

What happens: You present a design that's philosophically sound but lacks concrete details — "We'll have a responsive grid that shows items" without saying how many columns, what breakpoints, or how filtering works.

Why it backfires: Implementation starts with questions because the design doesn't answer them. You end up in a loop where the implementer has to guess at details, implement them wrong, and you have to revise.

How to avoid it: Make designs concrete enough that an implementer can start work without opening the design doc and asking questions. Include examples, specific numbers, edge cases, and trade-off decisions. If a detail feels unclear to you, it'll be unclear during implementation.

平台分布

Codex

37.06%
按下载量换算40

Claude

29.83%
按下载量换算32

Cursor

16.59%
按下载量换算18

Gemini CLI

9.17%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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