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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;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 46,301。

总安装 791周安装 32GitHub Stars 141下载 248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/romiluz13/cc10x
仓库路径:skills/brainstorming
安装命令:
npx skills add https://github.com/romiluz13/cc10x --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/romiluz13/cc10x --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。适合在创意或技术讨论中快速定位思路和参考资料。

安装命令:npx skills add https://github.com/romiluz13/cc10x --skill brainstorming 适用于 Codex、Claude、Cursor、Gemini CLI,通过 GitHub 安装,建议确认权限范围。可能涉及网络访问或本地缓存,使用前请核实维护情况。

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/romiluz13/cc10x --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/romiluz13/cc10x --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?

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 791 次,近一周安装 32 次,下载 248 次,GitHub 141 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

791141需要联网未明确通过

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 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. Use the user's language for domain concepts; do not invent new terminology when the repo or prompt already has a stable name for the thing.

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) — skip if commands fail (new/empty project)
Bash(command="git log --oneline -10 2>/dev/null || echo 'No git history'")
Bash(command="ls src/ 2>/dev/null || ls . 2>/dev/null || echo 'Empty project'")

If project is empty/new: Skip project scan, start from user's description.

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

MANDATORY: Cover all 5 dimensions below, but only call AskUserQuestion for dimensions that are still unresolved after reading the user prompt, repo context, and any existing design/spec. Stop as soon as the intent contract is complete.

Skip a question when the answer is already explicit and high-confidence. In that case:

  • write the inferred answer into your working notes
  • mention the assumption in the final design summary
  • continue to the next unresolved dimension

If only 1-2 dimensions remain unclear, ask only those 1-2 questions. Do not force a 5-question interview when the request is already concrete.

Q1 — Call AskUserQuestion NOW:

AskUserQuestion({
  questions: [{
    question: "What problem does this solve for users?",
    header: "Purpose",
    multiSelect: false,
    options: [
      { label: "New feature", description: "Adding new functionality" },
      { label: "Bug fix", description: "Fixing broken behavior" },
      { label: "Refactor", description: "Improving existing code structure" },
      { label: "Something else", description: "I'll describe it" }
    ]
  }]
})

Q2 — Call AskUserQuestion NOW (after Q1 answered):

AskUserQuestion({
  questions: [{
    question: "Who will use this?",
    header: "Users",
    multiSelect: false,
    options: [
      { label: "Developers", description: "Engineering team or API consumers" },
      { label: "End users", description: "People using the product UI" },
      { label: "Admins", description: "Administrative or ops users" },
      { label: "Internal team", description: "Internal tooling only" }
    ]
  }]
})

Q3 — Call AskUserQuestion NOW (after Q2 answered):

AskUserQuestion({
  questions: [{
    question: "How will we know this works well?",
    header: "Success",
    multiSelect: false,
    options: [
      { label: "Tests pass", description: "Automated tests verify behavior" },
      { label: "Performance target met", description: "Specific speed or throughput goal" },
      { label: "User completes task", description: "End-to-end user flow works" },
      { label: "Describe it", description: "I'll type my own success criteria" }
    ]
  }]
})

Q4 — Call AskUserQuestion NOW (after Q3 answered):

AskUserQuestion({
  questions: [{
    question: "What limitations or requirements exist?",
    header: "Constraints",
    multiSelect: true,
    options: [
      { label: "No constraints", description: "No special requirements" },
      { label: "Performance", description: "Speed, memory, or throughput targets" },
      { label: "Security", description: "Auth, permissions, or data protection" },
      { label: "Time / deadline", description: "Must ship by a specific date" }
    ]
  }]
})

Q5 — Call AskUserQuestion NOW (after Q4 answered):

AskUserQuestion({
  questions: [{
    question: "What's the scope of this change?",
    header: "Scope",
    multiSelect: false,
    options: [
      { label: "Single module", description: "One focused area of the codebase (Recommended)" },
      { label: "Single file", description: "Isolated to one file" },
      { label: "Full feature", description: "Multiple files, end-to-end" },
      { label: "Cross-cutting", description: "Touches many parts of the system" }
    ]
  }]
})

Optional Q6 (ask only when the user seems to have unexpressed aspirations): "If there were no constraints, what would the ideal version look like?" This unlocks hidden requirements and aspirational features — capture them, then apply YAGNI to defer what is not essential.

Q7 — Out-of-scope discovery (always ask): "What is explicitly NOT part of this? What should we defer?" Document answers in the Out of Scope section of the design document. This prevents scope creep from assumptions about what "should" be included.

After the unresolved dimensions are answered: Verify the collected intent passes the Intent Completeness Gate before proceeding:

  1. Small enough — intent fits in one paragraph without losing specifics.
  2. Contradiction-free — no answer conflicts with another answer or a stated constraint.
  3. Sufficiently specific — a builder agent could act on it without asking clarifying questions.

If ANY check fails, ask one more targeted question to resolve the gap. Do NOT proceed with ambiguous or contradictory intent. Once all three checks pass, proceed to Phase 3 with collected answers. Do not force the full 7-question sequence when the intent contract is already complete.

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 (establishes shared mental model before details) "Does this architecture make sense so far?"
  2. Components - Key pieces (names the parts referenced in all later discussion) "Do these components cover what you need?"
  3. Data Flow - How data moves (validates components actually connect — catches orphaned pieces) "Does this data flow work for your use case?"
  4. Error Handling - What can go wrong (only meaningful after happy path is agreed) "Are these error cases covered?"
  5. Testing Strategy - How to verify (depends on all prior sections being stable) "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
  • Asking leading questions that steer toward a pre-decided solution ("Should we use React?" instead of "What UI approach fits?")
  • Asking compound questions (more than one decision per question)
  • Accepting vague answers without probing ("It should be fast" → "What response time is acceptable?")

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)

One direct save and one router handoff are required - design file plus machine-readable handoff.

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

# Resolve absolute project directory FIRST (prevents wrong-CWD save — CC10X-006)
Bash(command="pwd")  # Store output as PROJECT_DIR
# Example: if pwd = /workspace/github-horoscope, use that as prefix

# Create directory using absolute path
Bash(command="mkdir -p {PROJECT_DIR}/docs/plans")

# Then save design using Write tool (permission-free)
# IMPORTANT: Use absolute path. Relative paths save to workspace root, not project dir.
Write(file_path="{PROJECT_DIR}/docs/plans/YYYY-MM-DD-<feature>-design.md", content="[full design content from template above]")
# Naming convention: always use -design.md suffix (brainstorming output) vs -plan.md suffix (planner output) — prevents collision in docs/plans/

# Do NOT auto-commit — let the user decide when to commit

Step 2: Emit Router-Owned Handoff (CRITICAL)

Do NOT edit .claude/cc10x/v10/*.md from brainstorming.

Instead, end your response with this machine-readable handoff so the router can carry the design forward and let memory finalization persist it once:

### Brainstorming Handoff (MACHINE-READABLE)
DESIGN_FILE: "{PROJECT_DIR}/docs/plans/YYYY-MM-DD-<feature>-design.md"
DESIGN_SUMMARY: "[one-sentence summary of the chosen design]"

WHY BOTH: The design file is the artifact. The handoff tells the router what to pass to planner and what to persist later. Memory stays single-writer and router-owned.

Pre-Handoff Design Check (Optional)

Before presenting the saved design to the user, consider reviewing it for:

  • Architecture: Does this follow existing codebase patterns? Are dependencies sound? Are integration points clean?
  • Security: Auth/authz at every entry point? Input validation defined? No secrets in design?

If concerns found, revise the design file before presenting. This is a self-review — no agents spawned.

After Brainstorming

Announce to the user:

"Design saved to {DESIGN_FILE}. Router will carry the design reference forward and manage any research or planning transitions automatically."

The router handles workflow transitions — do not prompt the user for next steps. The router will proceed to research and/or planning automatically.

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

Codex

35.93%
按下载量换算89

Claude

27.73%
按下载量换算69

Cursor

19.24%
按下载量换算48

Gemini CLI

9.88%
按下载量换算25

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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。目前只有一个公开来源,建议同时核对源仓库。

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