Token导航 LogoToken导航TokenDH.com
研究检索需要联网github未标认证来源可访问许可证需确认审计通过

brainstorming头脑风暴

Agent Skill

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。

总安装

791

周安装

32

GitHub Stars

141

下载量

248
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills