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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,权限为调用外部服务;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 62,939。

总安装 324周安装 13GitHub Stars 176下载 105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/ed3dai/ed3d-plugins
仓库路径:skills/brainstorming
安装命令:
npx skills add https://github.com/ed3dai/ed3d-plugins --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/ed3dai/ed3d-plugins --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,支持根据关键词或任务场景快速定位技术资料。适合在需要创意发散或设计方案探索时使用。可通过原始 README 和安装命令进一步核验具体用法和功能边界。安装方式:通过 npx skills add 命令从指定 GitHub 仓库安装。

建议确认权限范围、维护状态及是否涉及联网或文件读写操作。

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/ed3dai/ed3d-plugins --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/ed3dai/ed3d-plugins --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 324 次,近一周安装 13 次,下载 105 次,GitHub 176 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。

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。

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

324176调用外部服务未明确有提醒

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

Overview

Transform rough ideas into fully-formed designs through structured questioning and alternative exploration.

Core principle: Ask questions to understand, explore alternatives, present design incrementally for validation.

Announce at start: "I'm using the brainstorming skill to refine your idea into a design."

Quick Reference

PhaseKey ActivitiesTool UsageOutput
1. UnderstandingAsk questions (one at a time)AskUserQuestion for choices, agents for researchPurpose, constraints, criteria
2. ExplorationPropose 2-3 approachesAskUserQuestion for approach selection, agents for patternsArchitecture options with trade-offs
3. Design PresentationPresent in 200-300 word sectionsOpen-ended questionsComplete design with validation

The Process

REQUIRED: Create task tracker at start

Use TaskCreate to create todos for each phase (or TodoWrite in older Claude Code versions):

  • Phase 1: Understanding (purpose, constraints, criteria gathered)
  • Phase 2: Exploration (2-3 approaches proposed and evaluated)
  • Phase 3: Design Presentation (design validated in sections)

Use TaskUpdate to mark each phase as in_progress when working on it, completed when finished (or TodoWrite in older versions).

Research Agents

DO NOT perform deep research yourself. Delegate to specialized agents.

When to Use codebase-investigator

Use codebase-investigator when you need to:

  • Understand how existing features are implemented
  • Find where specific functionality lives in the codebase
  • Identify existing patterns to follow
  • Verify assumptions about codebase structure
  • Check if a feature already exists

Example delegation:

Question: "How is authentication currently implemented?"
Action: Dispatch codebase-investigator with: "Find authentication implementation, including file locations, patterns used, and dependencies"

When to Use internet-researcher

Use @agent-ed3d-research-agents:internet-researcher when available. Otherwise use WebSearch/WebFetch aggressively.

Use internet research when you need to:

  • Find current API documentation for external services
  • Research library capabilities and best practices
  • Compare technology options
  • Understand current community recommendations
  • Find code examples and patterns from documentation
  • Verify "what's the latest version" type questions
  • Look up "how do people solve X" patterns

Example delegation (with agent):

Question: "What's the recommended way to handle file uploads with this framework?"
Action: Dispatch internet-researcher with: "Find current best practices for file uploads in [framework], including official docs and common patterns"

Example without agent (use WebSearch):

Question: "What's the current Stripe API for subscriptions?"
Action: Use WebSearch for: "Stripe subscriptions API latest version 2025"
Then use WebFetch to read the official docs

When to use internet research:

  • External API documentation (always get latest)
  • "How do people solve X?" (community patterns)
  • Library comparison (which one is maintained?)
  • Best practices (what's current recommendation?)
  • Version checking (what's latest?)

Don't overdo it:

  • Don't research things Claude already knows well
  • Don't research project-specific code (use codebase-investigator)
  • Don't research for every small decision

Balance: Use research for external knowledge and current information. Use Claude's existing knowledge for general programming concepts.

Research Protocol

If codebase pattern exists:

  1. Use codebase-investigator to find it
  2. Unless pattern is clearly unwise, assume it's the correct approach
  3. Design should follow existing patterns for consistency

If no codebase pattern exists:

  1. Use internet research to find external patterns
  2. Present 2-3 approaches from research in Phase 2
  3. Let user choose which pattern to adopt

If agent/research can't find answer:

  • Redirect question to user via AskUserQuestion
  • Explain what was searched and not found
  • Present as a design decision for user to make

Be persistent with research:

  • If first query doesn't yield results, refine the question
  • Try alternative search terms or approaches
  • Don't give up after one attempt

Phase 1: Understanding

Before asking questions:

  1. Investigate current state - DON'T do this yourself:

- Dispatch codebase-investigator to verify project structure - Ask investigator to find existing architecture and patterns - Ask investigator to identify constraints from current codebase - Review investigator's findings before proceeding

  1. Then gather requirements:

- Use TaskUpdate to mark Phase 1 as in_progress - Ask ONE question at a time to refine the idea - Use AskUserQuestion tool when you have multiple choice options - Use agents when you need to verify technical information - Gather: Purpose, constraints, success criteria - Mark Phase 1 as completed when understanding is clear

Example using AskUserQuestion:

Question: "Where should the authentication data be stored?"
Options:
  - "Session storage" (clears on tab close, more secure)
  - "Local storage" (persists across sessions, more convenient)
  - "Cookies" (works with SSR, compatible with older approach)

When to delegate vs ask user:

  • "Where is auth implemented?" -> codebase-investigator
  • "What auth library should we use?" -> internet-researcher (if not in codebase)
  • "Do you want JWT or sessions?" -> AskUserQuestion (design decision)

Ask only useful, coherent, and effective questions: Do not ask a question when only one answer is useful, coherent, and effective. For example, in an auth system with magic links and social logins:

Example (WRONG):
What should happen when a logged-in user requests a magic link for their own email address?

1. Send new magic link (allow re-login)
   User can request magic links even when logged in. Useful for re-authentication or session refresh scenarios.
2. Return error or redirect to home
   Logged-in users can't request magic links. They must log out first. Simpler, prevents confusion.
3. Silent success (no email sent)
   Say 'check your email' but don't send anything. Prevents leaking login state but may confuse legitimate users.

In this case, only #1 is a useful, coherent, and effective option. Option #2 doesn't make any sense (magic links can be used to verify emails after a social login) and #3 is aggressively bad (lies to the user).

Example (WRONG):
How should the magic link token verification be structured?

1. Single-use token with immediate session creation
   Token is consumed on first click, session created immediately. Simple flow. User can't re-click the link. Standard pattern for passwordless auth.
2. Token valid for multiple users within TTL
   Token can be used multiple times within 15 minutes. Allows re-clicking link if session cookie is lost. More complex state management.
3. Token with idempotent verification
   First use creates session, subsequent uses within TTL return same session. Safe re-clicking, prevents double-session creation. Moderate complexity.

No reasonably secure system would do either options #2 or #3. The way this question is written obviously indicates one acceptable answer and the other two answers are trap answers. Do not suggest trap answers for human users.

If you want to ask a question where there is only one useful, coherent, and effective path, state your assumption and continue onward.

Do not ask questions just to ask them. If you have no useful, coherent, and effective questions, cease asking questions.

If starting-a-design-plan already gathered context:

  • Phase 1 may be very short
  • Focus on remaining unknowns
  • Don't re-ask questions already answered in clarification
  • Still complete Phase 1 (don't skip it)

Phase 2: Exploration

Before proposing approaches:

  1. Research existing patterns - DON'T do this yourself:

- Dispatch codebase-investigator: "Find similar features and patterns used" - If similar feature exists, base one approach on that pattern - If no codebase pattern, use internet research: "Find recommended approaches for [problem]" - Review research findings before proposing

  1. Then propose approaches:

- Use TaskUpdate to mark Phase 2 as in_progress - Propose 2-3 different approaches based on research - At least one approach should follow codebase patterns (if they exist) - For each: Core architecture, trade-offs, complexity assessment - Use AskUserQuestion tool to present approaches as structured choices - Mark Phase 2 as completed when approach is selected

Example using AskUserQuestion:

Question: "Which architectural approach should we use?"
Options:
  - "Event-driven with message queue" (matches existing notification system, scalable, complex setup)
  - "Direct API calls with retry logic" (simple, synchronous, easier to debug)
  - "Hybrid with background jobs" (balanced, moderate complexity, best of both)

Research integration:

  • If codebase has pattern -> Present it as primary option (unless unwise)
  • If no codebase pattern -> Present internet research findings
  • If research yields nothing -> Ask user for direction

Phase 3: Design Presentation

  • Use TaskUpdate to mark Phase 3 as in_progress
  • Present in 200-300 word sections
  • Cover: Architecture, components, data flow, error handling, testing
  • Use research agents if you need to verify technical details during presentation
  • Ask after each section: "Does this look right so far?" (open-ended)
  • Use open-ended questions here to allow freeform feedback
  • Mark Phase 3 as completed when all sections validated

Level of detail: Present architecture and components, not implementation code.

  • Contracts/interfaces: OK. If a component exposes an API or interface that other systems depend on, show the shape (types, method signatures, request/response formats).
  • Implementation code: NOT OK. Function bodies, algorithms, and executable logic belong in implementation plans, not design.

The distinction: contracts define boundaries between components. Implementation defines behavior within components. Brainstorming validates the boundaries; implementation planning fills in the behavior.

Output: Validated design held in conversation context, ready for documentation.

Question Patterns

When to Use AskUserQuestion Tool

Use AskUserQuestion for:

  • Phase 1: Clarifying questions with 2-4 clear options
  • Phase 2: Architectural approach selection (2-3 alternatives)
  • Any decision with distinct, mutually exclusive choices
  • When options have clear trade-offs to explain
  • When agent research yields no answer (present as open decision)

Benefits:

  • Structured presentation of options with descriptions
  • Clear trade-off visibility for partner
  • Forces explicit choice (prevents vague "maybe both" responses)

When to Use Open-Ended Questions

Use open-ended questions for:

  • Phase 3: Design validation ("Does this look right so far?")
  • When you need detailed feedback or explanation
  • When partner should describe their own requirements
  • When structured options would limit creative input

Example decision flow:

  • "What authentication method?" -> Use AskUserQuestion (2-4 options)
  • "Does this design handle your use case?" -> Open-ended (validation)

When to Use Research Agents

Use codebase-investigator for:

  • "How is X implemented?" -> Agent finds and reports
  • "Where does Y live?" -> Agent locates files
  • "What pattern exists for Z?" -> Agent identifies pattern

Use internet research for:

  • "What's the current API for X?" -> Research finds docs
  • "How do other projects solve Y?" -> Research finds patterns
  • "What libraries exist for Z?" -> Research compares options

Don't do deep research yourself - you'll consume context and may hallucinate. Delegate to agents or use web tools.

When to Revisit Earlier Phases

digraph revisit_phases {
    rankdir=LR;
    "New constraint revealed?" [shape=diamond];
    "Partner questions approach?" [shape=diamond];
    "Requirements unclear?" [shape=diamond];
    "Return to Phase 1" [shape=box, style=filled, fillcolor="#ffcccc"];
    "Return to Phase 2" [shape=box, style=filled, fillcolor="#ffffcc"];
    "Continue forward" [shape=box, style=filled, fillcolor="#ccffcc"];

    "New constraint revealed?" -> "Return to Phase 1" [label="yes"];
    "New constraint revealed?" -> "Partner questions approach?" [label="no"];
    "Partner questions approach?" -> "Return to Phase 2" [label="yes"];
    "Partner questions approach?" -> "Requirements unclear?" [label="no"];
    "Requirements unclear?" -> "Return to Phase 1" [label="yes"];
    "Requirements unclear?" -> "Continue forward" [label="no"];
}

You can and should go backward when:

  • Partner reveals new constraint during Phase 2 or 3 -> Return to Phase 1
  • Validation shows fundamental gap in requirements -> Return to Phase 1
  • Partner questions approach during Phase 3 -> Return to Phase 2
  • Something doesn't make sense -> Go back and clarify
  • Agent research reveals constraint you didn't know -> Reassess phase

Don't force forward linearly when going backward would give better results.

Common Rationalizations - STOP

These are violations of the skill requirements:

ExcuseReality
"Idea is simple, can skip exploring alternatives"Always propose 2-3 approaches. Comparison reveals issues.
"Partner knows what they want, can skip questions"Questions reveal hidden constraints. Always ask.
"I'll present whole design at once for efficiency"Incremental validation catches problems early.
"Checklist is just a suggestion"Create task todos with TaskCreate. Track progress properly.
"I can research this quickly myself"Use agents or web tools. You'll hallucinate or consume excessive context.
"Agent didn't find it on first try, must not exist"Be persistent. Refine query and try again.
"Partner said yes, done with brainstorming"Design is in conversation. Next step is documentation.
"I know this codebase, don't need investigator"You don't know current state. Always verify.
"Obvious solution, skip research"Codebase may have established pattern. Check first.
"Don't need internet research for this"External knowledge and current docs matter. Research when relevant.
"I'll show the implementation so partner understands"Show contracts/interfaces, not implementation. Implementation planning generates code later.

All of these mean: STOP. Follow the requirements exactly.

Key Principles

PrincipleApplication
One question at a timeYOU MUST ask single questions in Phase 1, use AskUserQuestion for choices
Delegate researchYOU MUST use agents or web tools for codebase and internet research, never do it yourself
Be persistent with researchIf search doesn't find answer, refine query and try again before asking user
Follow existing patternsIf codebase pattern exists and is reasonable, design must follow it
Structured choicesYOU MUST use AskUserQuestion tool for 2-4 options with trade-offs
YAGNI ruthlesslyRemove unnecessary features from all designs
Explore alternativesYOU MUST propose 2-3 approaches before settling
Incremental validationPresent design in sections, validate each - never all at once
Task trackingYOU MUST create task todos at start with TaskCreate, update with TaskUpdate as you progress (or TodoWrite in older versions)
Flexible progressionGo backward when needed - flexibility > rigidity
Internet research mattersUse research agents or web tools for external knowledge and current information

After Brainstorming

When Phase 3 is complete, announce:

"Design is validated and ready for documentation."

Next step: The orchestrating skill (starting-a-design-plan) will invoke writing-design-plans to document this design.

You do NOT:

  • Write design document (that's writing-design-plans)
  • Set up worktrees (that's later in workflow)
  • Create implementation plans (that's writing-plans)

You DO:

  • Hold validated design in conversation context
  • Have clear understanding of architecture, components, and approach
  • Know which existing patterns were followed (from investigation)

平台分布

Codex

36.18%
按下载量换算38

Claude

29.31%
按下载量换算31

Cursor

18.81%
按下载量换算20

Gemini CLI

9.88%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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。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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