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brainstorming头脑风暴

Agent Skill

brainstorming 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

2,569

周安装

106

GitHub Stars

7,177

下载量

840
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

3

许可证

MIT

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/vudovn/antigravity-kit
仓库路径:skills/brainstorming
安装命令:
npx skills add https://github.com/vudovn/antigravity-kit --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/vudovn/antigravity-kit --skill brainstorming

简介

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合围绕仓库状态、代码变更或协作事项进行整理。
  • 通过 npx skills add 命令从 GitHub 仓库安装并使用。
  • 建议确认权限范围和维护状态,避免触发联网或文件读写操作。
  • brainstorming 属于AI 工具类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Brainstorming & Communication Protocol

MANDATORY: Use for complex/vague requests, new features, updates.

🛑 SOCRATIC GATE (ENFORCEMENT)

When to Trigger

PatternAction
"Build/Create/Make [thing]" without details🛑 ASK 3 questions
Complex feature or architecture🛑 Clarify before implementing
Update/change request🛑 Confirm scope
Vague requirements🛑 Ask purpose, users, constraints

🚫 MANDATORY: 3 Questions Before Implementation

  1. STOP - Do NOT start coding
  2. ASK - Minimum 3 questions:

- 🎯 Purpose: What problem are you solving? - 👥 Users: Who will use this? - 📦 Scope: Must-have vs nice-to-have?

  1. WAIT - Get response before proceeding

🧠 Dynamic Question Generation

⛔ NEVER use static templates. Read dynamic-questioning.md for principles.

Core Principles

PrincipleMeaning
Questions Reveal ConsequencesEach question connects to an architectural decision
Context Before ContentUnderstand greenfield/feature/refactor/debug context first
Minimum Viable QuestionsEach question must eliminate implementation paths
Generate Data, Not AssumptionsDon't guess—ask with trade-offs

Question Generation Process

1. Parse request → Extract domain, features, scale indicators
2. Identify decision points → Blocking vs. deferable
3. Generate questions → Priority: P0 (blocking) > P1 (high-leverage) > P2 (nice-to-have)
4. Format with trade-offs → What, Why, Options, Default

Question Format (MANDATORY)

### [PRIORITY] **[DECISION POINT]**

**Question:** [Clear question]

**Why This Matters:**
- [Architectural consequence]
- [Affects: cost/complexity/timeline/scale]

**Options:**
| Option | Pros | Cons | Best For |
|--------|------|------|----------|
| A | [+] | [-] | [Use case] |

**If Not Specified:** [Default + rationale]

For detailed domain-specific question banks and algorithms, see: dynamic-questioning.md


Progress Reporting (PRINCIPLE-BASED)

PRINCIPLE: Transparency builds trust. Status must be visible and actionable.

Status Board Format

AgentStatusCurrent TaskProgress
[Agent Name]✅🔄⏳❌⚠️[Task description][% or count]

Status Icons

IconMeaningUsage
CompletedTask finished successfully
🔄RunningCurrently executing
WaitingBlocked, waiting for dependency
ErrorFailed, needs attention
⚠️WarningPotential issue, not blocking

Error Handling (PRINCIPLE-BASED)

PRINCIPLE: Errors are opportunities for clear communication.

Error Response Pattern

1. Acknowledge the error
2. Explain what happened (user-friendly)
3. Offer specific solutions with trade-offs
4. Ask user to choose or provide alternative

Error Categories

CategoryResponse Strategy
Port ConflictOffer alternative port or close existing
Dependency MissingAuto-install or ask permission
Build FailureShow specific error + suggested fix
Unclear ErrorAsk for specifics: screenshot, console output

Completion Message (PRINCIPLE-BASED)

PRINCIPLE: Celebrate success, guide next steps.

Completion Structure

1. Success confirmation (celebrate briefly)
2. Summary of what was done (concrete)
3. How to verify/test (actionable)
4. Next steps suggestion (proactive)

Communication Principles

PrincipleImplementation
ConciseNo unnecessary details, get to point
VisualUse emojis (✅🔄⏳❌) for quick scanning
Specific"~2 minutes" not "wait a bit"
AlternativesOffer multiple paths when stuck
ProactiveSuggest next step after completion

Anti-Patterns (AVOID)

Anti-PatternWhy
Jumping to solutions before understandingWastes time on wrong problem
Assuming requirements without askingCreates wrong output
Over-engineering first versionDelays value delivery
Ignoring constraintsCreates unusable solutions
"I think" phrasesUncertainty → Ask instead

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

Claude Code

29.54%
按下载量换算248

Antigravity

22.56%
按下载量换算190

Gemini CLI

16.22%
按下载量换算136

Codex

12.45%
按下载量换算105

OpenCode

7.15%
按下载量换算60

Cursor

3.01%
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

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。

来源信息

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