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Agent Skill · 研究检索

brainstorming(头脑风暴)

brainstorming 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,674 个 Skill 里排第 65,896。

总安装 272周安装 11GitHub Stars 210下载 85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
MIT

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/xenitv1/claude-code-maestro
仓库路径:skills/brainstorming
安装命令:
npx skills add https://github.com/xenitv1/claude-code-maestro --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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/xenitv1/claude-code-maestro --skill brainstorming

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息。适合根据关键词、任务场景或来源线索快速定位候选结果。可结合来源仓库、安装命令和原始 README 继续核验具体用法。

安装命令:npx skills add https://github.com/xenitv1/claude-code-maestro --skill brainstorming。安装前建议确认权限范围和维护状态,避免误操作。

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/xenitv1/claude-code-maestro --skill brainstorm…;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

    它需要需要联网,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/xenitv1/claude-code-maestro --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?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

brainstorming 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

brainstorming 用的人多吗?

公开数据是累计安装 272 次,近一周安装 11 次,下载 85 次,GitHub 210 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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 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

  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
brainstorming

头脑风暴 · 本页

272210需要联网MIT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 rough ideas into fully formed designs through collaborative dialogue. Don't jump to solutions - explore the problem space first.

Core principle: Understand what to build BEFORE designing how to build it.

Violating the letter of this process is violating the spirit of brainstorming.

The Iron Law

NO DESIGN WITHOUT UNDERSTANDING PURPOSE AND CONSTRAINTS

If you can't articulate why the user needs this and what success looks like, you're not ready to design.

When to Use

ALWAYS before:

  • Creating new features
  • Building new components
  • Adding new functionality
  • Modifying existing behavior
  • Making architectural decisions

Signs you need to brainstorm:

  • Requirements feel vague
  • Multiple approaches seem valid
  • Success criteria unclear
  • User intent ambiguous

Spec File Workflow (Optional)

If user references a spec file (SPEC.md, spec.md, plan.md):

  1. Read existing spec - Use as interview foundation
  2. Interview to expand - Fill gaps using Phase 2 questions
  3. Write back - Save expanded design to same file
# Check for existing spec (permission-free)
Read(file_path="SPEC.md")  # or spec.md if that doesn't exist

The Process

Phase 1: Understand Context

Before asking questions:

  1. Check project state (files, docs, recent commits)
  2. Understand what exists
  3. Identify relevant patterns
# Check recent context (permission-free)
Bash(command="git log --oneline -10")
Bash(command="ls -la src/")  # or relevant directory

Phase 2: Explore the Idea (One Question at a Time)

Use AskUserQuestion tool - provides multiple choice options, better UX than text questions.

Ask questions sequentially, not all at once.

Question 1: Purpose

"What problem does this solve for users?"

Options format:

A. [Specific use case 1] B. [Specific use case 2] C. Something else (please describe)

Question 2: Users

"Who will use this feature?"

Question 3: Success Criteria

"How will we know this works well?"

Question 4: Constraints

"What limitations or requirements exist?" (Performance, security, compatibility, timeline)

Question 5: Scope

"What's explicitly OUT of scope for this?"

Phase 3: Explore Approaches

Always present 2-3 options with trade-offs:

## Approaches

### Option A: [Name] (Recommended)
**Approach**: [Brief description]
**Pros**: [Benefits]
**Cons**: [Drawbacks]
**Why recommended**: [Reasoning]

### Option B: [Name]
**Approach**: [Brief description]
**Pros**: [Benefits]
**Cons**: [Drawbacks]

### Option C: [Name]
**Approach**: [Brief description]
**Pros**: [Benefits]
**Cons**: [Drawbacks]

Which direction feels right?

Phase 4: Present Design Incrementally

Once approach chosen, present design in sections (200-300 words each):

  1. Architecture Overview - High-level structure "Does this architecture make sense so far?"
  2. Components - Key pieces "Do these components cover what you need?"
  3. Data Flow - How data moves "Does this data flow work for your use case?"
  4. Error Handling - What can go wrong "Are these error cases covered?"
  5. Testing Strategy - How to verify "Does this testing approach give you confidence?"

After each section, ask if it looks right before continuing.

Key Principles

One Question at a Time

✅ "What problem does this solve?"
   [Wait for answer]
   "Who will use it?"
   [Wait for answer]

❌ "What problem does this solve, who will use it,
    what are the constraints, and what's the success criteria?"

Multiple Choice Preferred

✅ "Which approach fits better?
    A. Simple file-based storage
    B. Database with caching
    C. External service integration"

❌ "How do you want to handle storage?"

YAGNI Ruthlessly

✅ "You mentioned analytics - is that needed for v1
    or can we defer it?"

❌ Adding analytics, caching, and multi-tenancy
   because "we might need them later"

Explore Alternatives

✅ Presenting 3 approaches with trade-offs
   before asking which to pursue

❌ Jumping straight to your preferred solution

Incremental Validation

✅ "Here's the data model [200 words].
    Does this match your mental model?"

❌ Presenting the entire design in one 2000-word block

Red Flags - STOP and Ask More Questions

If you find yourself:

  • Designing without knowing the purpose
  • Jumping to implementation details
  • Presenting one approach without alternatives
  • Asking multiple questions at once
  • Assuming you know what the user wants
  • Not validating incrementally

STOP. Go back to Phase 2.

Rationalization Prevention

ExcuseReality
"I know what they need"Ask. You might be wrong.
"Multiple questions is faster"Overwhelms. One at a time.
"One approach is obviously best"Present options. Let them choose.
"They'll say if it's wrong"Validate incrementally. Don't assume.
"Details can wait"Get details now. Assumptions cause rework.

Output: Design Document

After brainstorming, save the validated design:

# [Feature Name] Design

## Purpose
[What problem this solves]

## Users
[Who will use this]

## Success Criteria
- [ ] [Criterion 1]
- [ ] [Criterion 2]

## Constraints
- [Constraint 1]
- [Constraint 2]

## Out of Scope
- [Explicitly excluded 1]
- [Explicitly excluded 2]

## Approach Chosen
[Which option and why]

## Architecture
[High-level structure]

## Components
[Key pieces]

## Data Flow
[How data moves]

## Error Handling
[What can go wrong and how handled]

## Testing Strategy
[How to verify]

## Observability (if applicable)
- Logging: [what to log]
- Metrics: [what to track]
- Alerts: [when to alert]

## UI Mockup (if applicable)
[ASCII mockup for UI features]

## Questions Resolved
- Q: [Question asked]
  A: [Answer given]

UI Mockup (For UI Features Only)

For UI features, include ASCII mockup in the design:

┌─────────────────────────────────────────┐
│  [Component Name]                       │
├─────────────────────────────────────────┤
│  [Header/Navigation]                    │
├─────────────────────────────────────────┤
│                                         │
│  [Main content area]                    │
│                                         │
│  [Input fields, buttons, etc.]          │
│                                         │
├─────────────────────────────────────────┤
│  [Footer/Actions]                       │
└─────────────────────────────────────────┘

Skip this for API-only or backend features.

Saving the Design (MANDATORY)

Two saves are required - design file AND memory update:

Step 1: Save Design File (Use Write tool - NO PERMISSION NEEDED)

# First create directory
Bash(command="mkdir -p docs/plans")

# Then save design using Write tool (permission-free)
Write(file_path="docs/plans/YYYY-MM-DD-<feature>-design.md", content="[full design content from template above]")

# Then commit (separate commands to avoid permission prompt)
Bash(command="git add docs/plans/*.md")
Bash(command="git commit -m 'docs: add <feature> design'")

Step 2: Update Memory (CRITICAL - Links Design to Memory)

Use Edit tool (NO permission prompt):

# First read existing content
Read(file_path=".claude/cc10x/activeContext.md")

# Then use Edit to replace (matches first line, replaces entire content)
Edit(file_path=".claude/cc10x/activeContext.md",
     old_string="# Active Context",
     new_string="# Active Context

## Current Focus
Design created for [feature]. Ready for planning or building.

## Recent Changes
- Design saved to docs/plans/YYYY-MM-DD-<feature>-design.md

## Next Steps
1. Create implementation plan (if complex)
2. Or start building directly (if simple)
3. Reference design at docs/plans/YYYY-MM-DD-<feature>-design.md

## Active Decisions
| Decision | Choice | Why |
|----------|--------|-----|
| [Key decisions from design] | [Choice] | [Reason] |

## Design Reference
**Design:** `docs/plans/YYYY-MM-DD-<feature>-design.md`

## Last Updated
[current date/time]")

WHY BOTH: Design files are artifacts. Memory is the index. Without memory update, next session won't know the design exists.

This is non-negotiable. Memory is the single source of truth.

After Brainstorming

Ask the user:

"Design captured. What's next?" A. Create implementation plan (use planning-patterns skill) B. Start building (use build workflow) C. Review and refine further

Final Check

Before completing brainstorming:

  • Purpose clearly articulated
  • Users identified
  • Success criteria defined
  • Constraints documented
  • Out of scope explicit
  • Multiple approaches explored
  • Design validated incrementally
  • Document saved

平台分布

Claude Code

28.95%
按下载量换算25

Antigravity

21.29%
按下载量换算18

OpenCode

19.82%
按下载量换算17

Cursor

11.47%
按下载量换算10

github-copilot

7.99%
按下载量换算7

Gemini CLI

3.14%
按下载量换算3

安全审计

Gen Agent Trust Hub

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。

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