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Agent Skill · 研究检索

brainstorm(头脑风暴)

brainstorm 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。

brainstorm 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,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 10,447。

总安装 12,583周安装 535GitHub Stars 6下载 4,408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:brainstorm(头脑风暴)
来源仓库:https://github.com/hyperb1iss/hyperskills
仓库路径:skills/brainstorm
安装命令:
npx skills add https://github.com/hyperb1iss/hyperskills --skill brainstorm
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/hyperb1iss/hyperskills --skill brainstorm

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。

brainstorm 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据任务场景快速定位候选结果。通过 npx skills add 命令从 hyperb1iss/hyperskills 仓库安装。安装前需确认权限范围和维护状态,避免触发联网或文件读写。

建议结合原始 README 了解具体搜索逻辑和使用方式。

来源仓库内路径:skills/brainstorm

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/hyperb1iss/hyperskills --skill brainstorm;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

brainstorm 怎么安装?

在终端执行 npx skills add https://github.com/hyperb1iss/hyperskills --skill brainstorm。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

brainstorm 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。

brainstorm 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/hyperb1iss/hyperskills --skill brainstorm 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。

brainstorm 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。

brainstorm 用的人多吗?

公开数据是累计安装 12,583 次,近一周安装 535 次,下载 4,408 次,GitHub 6 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。

brainstorm 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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
brainstorm

头脑风暴 · 本页

12,5836执行命令未明确有提醒

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

Collaborative Brainstorming

Structured ideation using the Double Diamond model, grounded in persistent memory. Mined from 100+ real brainstorming sessions across production projects.

Core insight: AI excels at divergent phases (volume, cross-domain connections). Humans excel at convergent phases (judgment, selection). This skill separates the two and uses Sibyl as institutional memory to prevent re-exploring solved problems.

The Process

digraph brainstorm {
    rankdir=TB;
    node [shape=box];

    "1. GROUND" [style=filled, fillcolor="#e8e8ff"];
    "2. DIVERGE: Problem" [style=filled, fillcolor="#ffe8e8"];
    "3. CONVERGE: Define" [style=filled, fillcolor="#e8ffe8"];
    "4. DIVERGE: Solutions" [style=filled, fillcolor="#ffe8e8"];
    "5. CONVERGE: Decide" [style=filled, fillcolor="#e8ffe8"];
    "EXIT → Any skill" [style=filled, fillcolor="#fff8e0"];

    "1. GROUND" -> "2. DIVERGE: Problem";
    "2. DIVERGE: Problem" -> "3. CONVERGE: Define";
    "3. CONVERGE: Define" -> "4. DIVERGE: Solutions";
    "4. DIVERGE: Solutions" -> "5. CONVERGE: Decide";
    "5. CONVERGE: Decide" -> "EXIT → Any skill";
}

Phase 1: GROUND (Memory-First)

Before generating a single idea, search what we already know.

Actions

  1. Search Sibyl for related patterns, past decisions, known constraints:

- sibyl search "<topic keywords>" — find prior art - sibyl search "<related architecture>" — find relevant patterns - Check for existing tasks/epics on this topic

  1. Surface constraints — what's already decided? What's non-negotiable?

- Tech stack locked? Budget constraints? Timeline? - Existing patterns we must follow?

  1. Present prior art — show the user what Sibyl knows before ideating: "Sibyl has 3 relevant entries: [pattern X from project Y], [decision Z from last month], [gotcha W]. Want to factor these in?"

Gate

If Sibyl has a directly applicable pattern or decision, present it first. Don't re-brainstorm solved problems.


Phase 2: DIVERGE — Explore the Problem Space

Goal: Generate breadth. Understand what we're actually solving.

Actions

  1. Ask ONE question at a time to understand intent:

- What's the friction/pain point? - Who benefits? How do they use it today? - What does success look like?

  1. Reframe the problem from multiple angles:

- User perspective: "As a [user], I need..." - System perspective: "The system currently..." - Constraint perspective: "We're bounded by..."

  1. If the problem space is large, spawn parallel Explore agents: Agent 1: Research how similar projects solve this Agent 2: Map the existing codebase surface area Agent 3: Search for SOTA approaches (WebSearch)

Anti-patterns

  • Don't jump to solutions. This phase is about the PROBLEM.
  • Don't ask 5 questions at once. One at a time, build understanding.
  • Don't dismiss vague input — "make it faster" is valid; help sharpen it.

Phase 3: CONVERGE — Define the Core Problem

Goal: Narrow from exploration to a crisp problem statement.

Actions

  1. Synthesize what was explored into a 1-2 sentence problem statement
  2. Confirm with the user: "Is this what we're solving?"
  3. Identify scope boundaries — what's IN, what's OUT

Output

Problem: [crisp statement] In scope: [what we'll address] Out of scope: [what we won't] Key constraint: [the most important limiting factor]

Phase 4: DIVERGE — Explore Solutions

Goal: Generate multiple viable approaches. Quality through quantity.

Actions

  1. Present 2-3 approaches with explicit tradeoffs: Approach Pros Cons Complexity Risk A: [name]...... Low/Med/High... B: [name]...... Low/Med/High... C: [name]...... Low/Med/High...
  2. Include at least one unconventional option — break fixation on the obvious path
  3. Ground in existing patterns:

- "This follows the pattern we used in [project X]" - "This diverges from our convention because [reason]"

  1. For each approach, name the verification method:

- How would we know it works? (Test? Benchmark? Visual check?)

Exploration vs Exploitation

Balance like MCTS — don't fixate on the first decent idea:

  • If all approaches look similar → push for a wild card option
  • If approaches are wildly different → good, that's healthy divergence
  • If the user gravitates early → present the contrarian case before converging

Anti-patterns

  • Don't present 7 options. 2-3 is the sweet spot.
  • Don't present options without tradeoffs. Every option has a cost.
  • Don't present options that violate known constraints from Phase 1.
  • Don't default to the most complex solution. Start simple, add complexity only if justified.

Phase 5: CONVERGE — Decide and Record

Goal: Lock in the approach. Record the decision. Exit to action.

Actions

  1. Let the user choose. Present your recommendation but don't bulldoze.
  2. Record the decision in Sibyl: sibyl add "Brainstorm: [topic]" "Chose [approach] because [reason]. Rejected [other approaches] due to [tradeoffs]. Key constraint: [X]."
  3. Define next action — the brainstorm exits to whatever makes sense: Next Step When /hyperskills:plan Complex feature needing decomposition /hyperskills:research Need deeper investigation first /hyperskills:orchestrate Ready to dispatch agents Direct implementation Simple enough to just build Write a spec Needs formal documentation

Output

Decision: [what we're doing] Approach: [which option, brief description] Why: [1-2 sentences on the reasoning] Next: [the immediate next action]

Quick Mode

For small decisions that don't need the full diamond:

  1. Search Sibyl (always)
  2. Present 2 options with tradeoffs (skip problem exploration)
  3. Decide and record

Use quick mode when: The problem is already well-understood and the user just needs help choosing between known options.


Multi-Agent Brainstorming

For complex architectural decisions, deploy a Council pattern:

Agent 1 (Advocate): Makes the strongest case FOR approach A
Agent 2 (Advocate): Makes the strongest case FOR approach B
Agent 3 (Critic): Finds flaws in BOTH approaches

Synthesize their outputs, then present the unified analysis to the user.

When to use: Architecture decisions affecting 3+ systems, technology selection, major refactors. Don't use for simple feature design.


Anti-Patterns

Anti-PatternFix
Jumping to solutions before defining painSpend one pass on the problem frame first
Asking a stack of questions at onceAsk one load-bearing question, then adapt
Presenting seven "maybe" optionsOffer 2-3 real choices with tradeoffs
Ignoring prior decisions in SibylSearch memory first and surface relevant context
Brainstorming when the user said build itSwitch to implementation and keep momentum

What This Skill is NOT

  • Not a gate. You don't need permission to skip phases. If the user says "just build it," build it.
  • Not a waterfall. Phases can revisit. New information in Phase 4 can send you back to Phase 2.
  • Not a document generator. The output is a decision, not a design doc (unless the user wants one).
  • Not required for everything. Bug fixes, typo corrections, and clear-spec features don't need brainstorming.

YAGNI Check

Before concluding, ask: "Is there anything in this plan we don't actually need yet?" Strip it. Build the minimum that validates the approach.

平台分布

Codex

34.5%
按下载量换算1,521

Claude

31.86%
按下载量换算1,404

Cursor

19.38%
按下载量换算854

Gemini CLI

10.09%
按下载量换算445

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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/hyperb1iss/hyperskills --skill brainstorm 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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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