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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,权限为执行命令;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 68,490。

总安装 233周安装 10GitHub Stars 1下载 82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/sipengxie2024/superpower-planning
仓库路径:skills/brainstorming
安装命令:
npx skills add https://github.com/sipengxie2024/superpower-planning --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/sipengxie2024/superpower-planning --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。

用于查找、检索和筛选相关信息,支持关键词和任务场景匹配。适合快速定位候选结果,提升信息获取效率。适用于 Codex、Claude、Cursor、Gemini CLI 等 AI 工具环境。

安装命令:npx skills add https://github.com/sipengxie2024/superpower-planning --skill brainstorming。建议结合原始 README 核验具体用法,注意权限和操作边界。

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/sipengxie2024/superpower-planning --skill brai…;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

    它需要执行命令,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/sipengxie2024/superpower-planning --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?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/sipengxie2024/superpower-planning --skill brainstorming 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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 233 次,近一周安装 10 次,下载 82 次,GitHub 1 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

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 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

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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

2331执行命令未明确通过

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

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

Announce at start: "I'm using the brainstorming skill to explore this design."

Start by understanding the current project context, then ask questions to refine the idea. Once you understand what you're building, present the design and get user approval.

Anti-Pattern: "This Is Too Simple To Need A Design"

Every project goes through this process. A todo list, a single-function utility, a config change — all of them. "Simple" projects are where unexamined assumptions cause the most wasted work. The design can be short (a few sentences for truly simple projects), but you MUST present it and get approval.

Checklist

You MUST create a task for each of these items and complete them in order:

  1. Explore project context (Iterative Retrieval) — don't just scan files once. Use a structured loop to progressively discover relevant context: Cycle 1 — Broad Sweep: Evaluate & Identify Gaps: Cycle 2–3 — Targeted Refinement (only if gaps remain): Stop when: 3+ high-relevance files identified AND no critical context gaps remain, OR 3 cycles completed. Don't over-explore — 3 deeply understood files beats 10 skimmed ones.

- Scan project structure (Glob for key directories and file patterns) - Search for keywords related to the user's request (Grep) - Read project docs, README, CLAUDE.md, recent commits - Check .planning/archive/*.md for relevant historical archives — if found, read related archives and note relevant Key Decisions and Lessons Learned under a ## Historical Context section - Save initial findings to .planning/findings.md - Score each discovered file/component: High (directly implements target functionality), Medium (contains related patterns or types), Low (tangentially related — exclude from further exploration) - Identify missing context: "What do I still not understand about how this will integrate?" - Note terminology the codebase actually uses (it may differ from the user's request wording) - Search using codebase-native terminology discovered in previous cycles - Follow imports, type definitions, and call chains from high-relevance files - Read complete implementations of the most relevant files (not just grep snippets) - Update .planning/findings.md with new discoveries after each cycle (2-Action Rule)

  1. Scope check — before refining details, determine whether the request actually describes multiple independent subsystems. If yes, propose decomposition first.
  2. Ask clarifying questions — ask one question at a time via AskUserQuestion to understand purpose, constraints, success criteria. Record key user answers and decisions to .planning/findings.md.
  3. Propose 2-3 approaches — with trade-offs and your recommendation, presented via AskUserQuestion for user to choose.
  4. Present design — in sections scaled to complexity, get user approval after each section via AskUserQuestion.
  5. Write design doc — save to .planning/design.md (initialize .planning/ first if needed).
  6. Spec self-review — quick inline check for placeholders, contradictions, ambiguity, scope (see below).
  7. Spec interview — ask: "Do you want to run a spec interview to refine details in the design?" (default: yes). If yes, invoke superpower-planning:spec-interview with the design doc as target. If user skips, proceed.
  8. User review gate — explicitly ask the user to review the written spec before planning.
  9. Ask about worktree — use AskUserQuestion to ask whether to create an isolated git worktree for implementation (invoke superpower-planning:git-worktrees if yes, skip if no).
  10. Transition to implementation — invoke writing-plans skill to create implementation plan.

Process Flow

digraph brainstorming {
    "Explore project context" [shape=box];
    "Scope too large?" [shape=diamond];
    "Decompose into sub-projects" [shape=box];
    "Ask one clarifying question" [shape=box];
    "Propose 2-3 approaches" [shape=box];
    "Present design sections" [shape=box];
    "User approves design?" [shape=diamond];
    "Write design doc to .planning/" [shape=box];
    "Spec self-review\n(fix inline)" [shape=box];
    "Run spec interview?" [shape=diamond];
    "Invoke spec-interview skill" [shape=box];
    "User reviews spec?" [shape=diamond];
    "Ask: create worktree?" [shape=diamond];
    "Create worktree" [shape=box];
    "Invoke writing-plans skill" [shape=doublecircle];

    "Explore project context" -> "Scope too large?";
    "Scope too large?" -> "Decompose into sub-projects" [label="yes"];
    "Scope too large?" -> "Ask one clarifying question" [label="no"];
    "Decompose into sub-projects" -> "Ask one clarifying question";
    "Ask one clarifying question" -> "Propose 2-3 approaches";
    "Propose 2-3 approaches" -> "Present design sections";
    "Present design sections" -> "User approves design?";
    "User approves design?" -> "Present design sections" [label="no, revise"];
    "User approves design?" -> "Write design doc to .planning/" [label="yes"];
    "Write design doc to .planning/" -> "Spec self-review\n(fix inline)";
    "Spec self-review\n(fix inline)" -> "Run spec interview?";
    "Run spec interview?" -> "Invoke spec-interview skill" [label="yes"];
    "Run spec interview?" -> "User reviews spec?" [label="skip"];
    "Invoke spec-interview skill" -> "User reviews spec?";
    "User reviews spec?" -> "Write design doc to .planning/" [label="changes requested"];
    "User reviews spec?" -> "Ask: create worktree?" [label="approved"];
    "Ask: create worktree?" -> "Create worktree" [label="yes"];
    "Ask: create worktree?" -> "Invoke writing-plans skill" [label="no"];
    "Create worktree" -> "Invoke writing-plans skill";
}

The terminal state is invoking writing-plans. The allowed intermediate skills before writing-plans are: spec-interview (to refine the design) and git-worktrees (to isolate work). Do NOT invoke any implementation skill.

The Process

Understanding the idea:

  • Check out the current project state first (files, docs, recent commits)
  • Before asking detailed questions, check whether the project is too large for a single spec
  • If the request covers multiple independent subsystems, decompose it first and brainstorm only the first sub-project through the normal flow
  • Ask one question at a time per AskUserQuestion call
  • Prefer multiple choice options when possible, but open-ended is fine too
  • Focus on purpose, constraints, success criteria

Exploring approaches:

  • Propose 2-3 different approaches with trade-offs via AskUserQuestion
  • Lead with your recommended option and explain why
  • Include trade-off descriptions in each option

Presenting the design:

  • Once you understand what you're building, present the design
  • Scale each section to its complexity: a few sentences if straightforward, up to 200-300 words if nuanced
  • Use AskUserQuestion after each section to confirm it looks right
  • Cover architecture, components, data flow, error handling, testing
  • Design for clear boundaries and isolated responsibilities
  • Prefer smaller, focused files over large do-everything files
  • If a file has grown unwieldy, include a split in the design when it directly serves the current task
  • Evidence-first design: Every design decision (architecture choice, performance assumption, complexity trade-off, interface contract) should be backed by evidence — benchmarks, data, reference implementations, or reasoned analysis. When evidence is not yet available, mark the decision with [NEEDS-EVIDENCE] inline and continue. Do NOT block design progress to gather evidence, but do NOT silently assume either.

After the Design

Documentation:

  • Write the validated design to .planning/design.md
  • Use elements-of-style:writing-clearly-and-concisely skill if available

Initialize .planning/ directory:

  • Run ${CLAUDE_PLUGIN_ROOT}/scripts/init-planning-dir.sh to create the directory with canonical templates
  • Populate the Task Status Dashboard in progress.md with tasks derived from the design
  • Move any design exploration findings (rejected approaches, discovered constraints, useful references) into .planning/findings.md

Spec Self-Review: After writing the spec document, review it yourself with fresh eyes:

  1. Placeholder scan: Any "TBD", "TODO", incomplete sections, or vague requirements? Fix them.
  2. Internal consistency: Do any sections contradict each other? Does the architecture match the feature descriptions?
  3. Scope check: Is this focused enough for a single implementation plan, or does it need decomposition?
  4. Ambiguity check: Could any requirement be interpreted two different ways? If so, pick one and make it explicit.

Fix any issues inline. No need to re-review — just fix and move on.

User Review Gate: After the self-review, ask the user to review the written spec before proceeding.

Implementation:

  • Invoke the writing-plans skill to create a detailed implementation plan
  • writing-plans is the terminal step. (spec-interview and git-worktrees are allowed intermediate steps before it.)

Key Principles

  • Always use AskUserQuestion — all user-facing questions MUST use this tool
  • One question per call — don't overwhelm; break complex topics into multiple calls
  • Multiple choice preferred — easier to answer than open-ended when possible
  • YAGNI ruthlessly — remove unnecessary features from all designs
  • Evidence-first — every design decision needs evidence (data, benchmarks, analysis, references). No evidence yet? Mark [NEEDS-EVIDENCE] and move on — don't block, don't silently assume
  • Iterative retrieval — start broad, evaluate relevance, refine search terms using codebase-native terminology, repeat (max 3 cycles). Stop at "good enough" — depth over breadth
  • Explore alternatives — always propose 2-3 approaches before settling
  • Incremental validation — present design, get approval before moving on
  • Be flexible — go back and clarify when something doesn't make sense
  • Large systems must decompose — do not let one spec sprawl across multiple independent subsystems
  • Small, focused files — file boundaries and responsibilities should be explicit before planning

平台分布

Codex

34.48%
按下载量换算28

Claude

31.8%
按下载量换算26

Cursor

18.92%
按下载量换算16

Gemini CLI

9.32%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/sipengxie2024/superpower-planning --skill brainstorming 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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