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brainstorm头脑风暴

Agent Skill

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。

总安装

12,583

周安装

535

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6

下载量

4,408
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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: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

简介

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。

SKILL.md

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.

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

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

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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 warning/failed 结果,不能写成本站确认安全。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

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