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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

233

周安装

10

GitHub Stars

1

下载量

82
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

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: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

简介

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。

SKILL.md

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

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

34.48%
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。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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