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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,权限为只读;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 43,584。

总安装 974周安装 41GitHub Stars 538下载 341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/fradser/dotclaude
仓库路径:skills/brainstorming
安装命令:
npx skills add https://github.com/fradser/dotclaude --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/fradser/dotclaude --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。

brainstorming 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限和维护状态。使用前应检查是否会触发联网、命令执行或文件读写操作。

建议结合原始 README 和项目上下文核验具体用法和功能边界。

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/fradser/dotclaude --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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

brainstorming 怎么安装?

在终端执行 npx skills add https://github.com/fradser/dotclaude --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?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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 974 次,近一周安装 41 次,下载 341 次,GitHub 538 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?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 只想先试试效果、不希望它改动本地文件的人。

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。

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

974538只读未明确有提醒

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

Turn rough ideas into implementation-ready designs through structured collaborative dialogue using Superpower Loop for continuous iteration.

CRITICAL: First Action - Start Superpower Loop NOW

THIS MUST BE YOUR FIRST ACTION. Do NOT explore codebase, do NOT ask questions, do NOT do anything else until you have started the Superpower Loop.

  1. Capture $ARGUMENTS as the initial prompt
  2. Immediately run:
"${CLAUDE_PLUGIN_ROOT}/scripts/setup-superpower-loop.sh" "Brainstorm: $ARGUMENTS. Continue progressing through the superpowers:brainstorming skill phases: Phase 1 (Discovery) → Phase 2 (Option Analysis) → Phase 3 (Design Creation) → Phase 4 (Design Reflection) → Phase 5 (Git Commit) → Phase 6 (Transition)." --completion-promise "BRAINSTORMING_COMPLETE" --max-iterations 50
  1. Only after the loop is running, proceed to explore the codebase and continue with Phase 1

The loop enables self-referential iteration throughout the brainstorming process.

Superpower Loop Integration

This skill uses Superpower Loop to enable self-referential iteration throughout the brainstorming process.

CRITICAL: Throughout the process, you MUST output <promise>BRAINSTORMING_COMPLETE</promise> only when:

  • Phase 1-4 (Discovery, Option Analysis, Design Creation, Design Reflection) are all complete
  • Design folder created with all required documents
  • User approval received in Phase 2
  • Git commit completed

Do NOT output the promise until ALL conditions are genuinely TRUE.

ABSOLUTE LAST OUTPUT RULE: The promise tag MUST be the very last text you output. Output any transition messages or instructions to the user BEFORE the promise tag. Nothing may follow <promise>BRAINSTORMING_COMPLETE</promise>.

Initialization

(The Superpower Loop was already started in the critical first action above - do NOT start it again)

  1. Context Check: Ensure you have read CLAUDE.md and README.md to understand project constraints.
  2. Codebase Index: Verify you have access to the codebase and can run searches.

The loop will continue through all phases until <promise>BRAINSTORMING_COMPLETE</promise> is output.

Core Principles

  1. Converge in Order: Clarify → Compare → Choose → Design → Reflect → Commit → Transition
  2. Context First: Explore codebase before asking questions
  3. Incremental Validation: Validate each phase before proceeding
  4. YAGNI Ruthlessly: Only include what's explicitly needed
  5. Test-First Mindset: Always include BDD specifications - load superpowers:behavior-driven-development skill

Phase 1: Discovery

Explore codebase first, then ask focused questions to clarify requirements.

Actions:

  1. Explore codebase - Use Read/Grep/Glob to find relevant files and patterns
  2. Review context - Check docs/, README.md, CLAUDE.md, recent commits
  3. Identify gaps - Determine what's unclear from codebase alone
  4. Ask questions - Use AskUserQuestion with exactly 1 question per call

- Prefer multiple choice (2-4 options) - Ask one at a time, never bundle - Base on exploration gaps

Open-Ended Problem Context:

If the problem appears open-ended, ambiguous, or requires challenging assumptions:

  • Consider applying first-principles thinking to identify the fundamental value proposition
  • Question "why" repeatedly to reach core truths
  • Be prepared to explicitly load superpowers:build-like-iphone-team skill in Phase 2 for radical innovation approaches

Complexity Assessment (determines sub-agent strategy for Phase 3 & 4):

At the end of discovery, classify the scope:

  • Simple (single file/component, clear pattern to follow): Skip sub-agents in Phase 3 & 4 — main agent handles directly
  • Medium (cross-module, some architectural decisions): 2 sub-agents in Phase 3 (Architecture + BDD merged, Context), 2 reflection sub-agents in Phase 4
  • Complex (new system, large refactor, multiple integration points): Full 3+ sub-agents in Phase 3 and Phase 4

State the assessment explicitly before proceeding.

Output: Clear requirements, constraints, success criteria, relevant patterns, and complexity assessment.

See ./references/discovery.md for detailed patterns and question guidelines. See ./references/exit-criteria.md for Phase 1 validation checklist.

Phase 2: Option Analysis

Research existing patterns, propose viable options, and get user approval.

Actions:

  1. Research - Search codebase for similar implementations
  2. Identify options - Propose 2-3 grounded in codebase reality, or explain "No Alternatives"
  3. Present - Write conversationally, lead with recommended option, explain trade-offs
  4. Get approval - Use AskUserQuestion, ask one question at a time until clear

Radical Innovation Context:

If the problem involves:

  • Challenging industry conventions or "how things are usually done"
  • Creating a new product category rather than improving existing
  • Questioning fundamental assumptions
  • Open-ended or ambiguous requirements that need disruptive thinking

Then explicitly load superpowers:build-like-iphone-team skill using the Skill tool to apply iPhone design philosophy (first-principles thinking, breakthrough technology, experience-driven specs, internal competition, Purple Dorm isolation).

Output: User-approved approach with rationale and trade-offs understood.

See ./references/options.md for comparison and presentation patterns. See ./references/exit-criteria.md for Phase 2 validation checklist.

Phase 3: Design Creation

Create design documents. Scale sub-agent usage based on complexity assessment from Phase 1.

Simple: Main agent handles all research and document creation directly. No sub-agents needed — explore codebase, search for best practices, write BDD scenarios, and create design documents in a single pass.

Medium (2 sub-agents):

Sub-agent 1: Architecture & Best Practices Research

  • Focus: Existing patterns, libraries, WebSearch for best practices, security, performance
  • Load superpowers:behavior-driven-development skill
  • Output: Architecture recommendations, BDD scenarios, best practices summary

Sub-agent 2: Context & Requirements Synthesis

  • Focus: Synthesize Phase 1 and Phase 2 results
  • Output: Context summary, requirements list, success criteria

Complex (3+ sub-agents):

Sub-agent 1: Architecture Research

  • Focus: Existing patterns, architecture, libraries in codebase
  • Use WebSearch for latest best practices
  • Output: Architecture recommendations with codebase references

Sub-agent 2: Best Practices Research

  • Focus: Web search for best practices, security, performance patterns
  • Load superpowers:behavior-driven-development skill
  • Output: BDD scenarios, testing strategy, best practices summary

Sub-agent 3: Context & Requirements Synthesis

  • Focus: Synthesize Phase 1 and Phase 2 results
  • Output: Context summary, requirements list, success criteria

Additional sub-agents: Launch for distinct, research-intensive aspects as needed.

Integrate results: Merge all findings, resolve conflicts, create unified design.

Design document structure:

docs/plans/YYYY-MM-DD-<topic>-design/
├── _index.md              # Context, Requirements, Rationale, Detailed Design, Design Documents section (MANDATORY)
├── bdd-specs.md           # BDD specifications (MANDATORY)
├── architecture.md        # Architecture details (MANDATORY)
├── best-practices.md      # Best practices and considerations (MANDATORY)
├── decisions/             # ADRs (optional)
└── diagrams/              # Visual artifacts (optional)

CRITICAL: _index.md MUST include Design Documents section with references:

## Design Documents

- [BDD Specifications](./bdd-specs.md) - Behavior scenarios and testing strategy
- [Architecture](./architecture.md) - System architecture and component details
- [Best Practices](./best-practices.md) - Security, performance, and code quality guidelines

Output: Design folder created with all files saved.

See ./references/design-creation.md for sub-agent patterns and integration workflow. See ./references/exit-criteria.md for Phase 3 validation checklist.

Phase 4: Design Reflection

Before committing, verify design quality. Scale reflection based on complexity assessment from Phase 1.

Simple: Main agent performs a single review pass — check requirements coverage, BDD completeness, and document consistency sequentially. No sub-agents needed.

Medium (2 reflection sub-agents):

Sub-agent 1: Requirements & BDD Review

  • Focus: Verify requirements traceability AND BDD scenario completeness (happy path, edge cases, errors)
  • Output: Traceability matrix, missing scenarios, coverage gaps

Sub-agent 2: Consistency & Risk Review

  • Focus: Cross-document terminology, references, component names, and key risks
  • Output: Inconsistencies, broken references, unaddressed risks

Complex (3+ reflection sub-agents):

Sub-agent 1: Requirements Traceability Review

  • Focus: Verify every Phase 1 requirement is addressed in design
  • Output: Traceability matrix, orphaned requirements list

Sub-agent 2: BDD Completeness Review

  • Focus: Check BDD scenarios cover happy path, edge cases, and error conditions
  • Output: Missing scenarios list, coverage gaps

Sub-agent 3: Cross-Document Consistency Review

  • Focus: Verify terminology, references, and component names are consistent
  • Output: Inconsistencies list, terminology conflicts

Additional sub-agents (launch as needed): Security Review, Risk Assessment.

Integrate and Update:

  1. Collect all sub-agent findings
  2. Prioritize issues by impact
  3. Update design documents to fix issues
  4. Re-verify updated sections
  5. Confirm with user: Use AskUserQuestion to present the reflection summary and get approval before committing

Output: Updated design documents with issues resolved and user approval received.

See ./references/reflection.md for sub-agent prompts and integration workflow.

Phase 5: Git Commit

Commit the design folder using git-agent (with git fallback).

Actions:

  1. Stage the entire folder: git add docs/plans/YYYY-MM-DD-<topic>-design/
  2. Run: git-agent commit --no-stage --intent "add design for <topic>" --co-author "Claude <Model> <Version> <noreply@anthropic.com>"
  3. On auth error, retry with --free flag
  4. Fallback: If git-agent is unavailable or fails, use git commit -m "docs: add design for <topic>..." with conventional format

See ../../skills/references/git-commit.md for detailed patterns.

Phase 6: Transition to Implementation

Prompt the user to use superpowers:writing-plans, then output the promise as the absolute last line.

Output in this exact order:

  1. Transition message: "Design complete. To create a detailed implementation plan, use /superpowers:writing-plans."
  2. <promise>BRAINSTORMING_COMPLETE</promise> — nothing after this

PROHIBITED: Do NOT offer to start implementation directly. Do NOT output any text after the promise tag.

References

  • ./references/core-principles.md - Core principles guiding the workflow
  • ./references/discovery.md - Exploration patterns and question guidelines
  • ./references/options.md - Option comparison and presentation patterns
  • ./references/design-creation.md - Sub-agent patterns, integration workflow, design structure
  • ./references/reflection.md - Design reflection patterns and gap identification strategies
  • ./references/exit-criteria.md - Validation checklists, success indicators, common pitfalls
  • ../../skills/references/git-commit.md - Git commit patterns and requirements (shared cross-skill resource)
  • ../../skills/references/loop-patterns.md - Completion promise design, prompt patterns, and safety nets

平台分布

Claude

32.83%
按下载量换算112

Codex

32.69%
按下载量换算111

Cursor

19.95%
按下载量换算68

Gemini CLI

10.33%
按下载量换算35

安全审计

Gen Agent Trust Hub

可疑

Socket

可疑

Snyk

可疑

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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