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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

1,152

周安装

48

GitHub Stars

52

下载量

384
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/zenobi-us/dotfiles
仓库路径:skills/brainstorming
安装命令:
npx skills add https://github.com/zenobi-us/dotfiles --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/zenobi-us/dotfiles --skill brainstorming

简介

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。

  • 适用于创意构思阶段的概念探索、方案发散或跨领域灵感整理。
  • 通过 npx skills add 命令从指定仓库安装,调用时传入主题即可返回潜在方向列表。
  • 安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • 建议结合来源仓库和原始 README 核验创意数据库的更新机制与版权归属。

SKILL.md

Brainstorming Ideas Into Designs

Overview

Help turn ideas into fully formed designs and specs through natural collaborative dialogue.

Start by understanding the current project context, then ask questions one at a time to refine the idea. Once you understand what you're building, present the design in small sections (200-300 words), checking after each section whether it looks right so far.

The Process

Understanding the idea:

  • Check out the current project state first (files, docs, recent commits)
  • Ask questions one at a time to refine the idea
  • Prefer multiple choice questions when possible, but open-ended is fine too
  • Only one question per message - if a topic needs more exploration, break it into multiple questions
  • Focus on understanding: purpose, constraints, success criteria

Research with Experts:

  • If the idea involves specialized knowledge, identify relevant experts
  • Delegate reesarch task to subagent using the task(Researcher) tool

Exploring approaches:

  • Propose 2-3 different approaches with trade-offs
  • Present options conversationally with your recommendation and reasoning
  • Lead with your recommended option and explain why

Presenting the design:

  • Once you believe you understand what you're building, present the design
  • Break it into sections of 200-300 words
  • Ask after each section whether it looks right so far
  • Cover: architecture, components, data flow, error handling, testing
  • Be ready to go back and clarify if something doesn't make sense

During Dicsussion

Question Presentation:

  • Present questions and options clearly and concisely
  • Show question as a title, with options or details below
  • use numbered or lettered lists for options. Allowing the user to pick by number/letter
  • After presenting a section of the design, ask: "Does this look right so far?"

Ensure Consistency:

  • Keep track of previous answers and design decisions
  • Refer back to earlier points to ensure alignment
  • Adjust the design based on feedback and new information

Shift in Direction:

  • If the user indicates a significant change in direction, pause and reassess
  • Check if the user is referring to forking a previous question. If so, go back to that question and present alternatives again
  • Ask clarifying questions to understand the new direction
  • Confirm understanding before proceeding with the new direction

After the Design

Documentation:

  • Write the validated design with the proscribed storage backend.
  • Use elements-of-style:writing-clearly-and-concisely skill if available
  • Commit the design document to git

Implementation (if continuing):

  • Ask: "Ready to set up for implementation?" If yes:

- Use superpowers_using_git_worktrees skill to create isolated workspace - Use superpowers_writing_plans to create detailed implementation plan

  • Otherwise, end the session

Key Principles

  • One question at a time - Don't overwhelm with multiple questions
  • Multiple choice preferred - Easier to answer than open-ended when possible
  • YAGNI ruthlessly - Remove unnecessary features from all designs
  • Explore alternatives - Always propose 2-3 approaches before settling
  • Incremental validation - Present design in sections, validate each
  • Be flexible - Go back and clarify when something doesn't make sense

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

OpenCode

30.54%
按下载量换算117

Claude Code

24.65%
按下载量换算95

Antigravity

16.69%
按下载量换算64

Gemini CLI

11.41%
按下载量换算44

moltbot

7.95%
按下载量换算31

windsurf

2.99%
按下载量换算11

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

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安装前确认

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来源信息

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