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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

416

周安装

17

GitHub Stars

2

下载量

135
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/xbklairith/kisune
仓库路径:skills/brainstorming
安装命令:
npx skills add https://github.com/xbklairith/kisune --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/xbklairith/kisune --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 中根据关键词、任务场景或来源线索快速定位候选结果。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 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。
  • 当前功能描述基于仓库公开信息,实际能力以源码和文档为准。

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.

When to Activate

Activate this skill when:

  • User has a rough idea that needs refinement
  • User is uncertain about scope or approach
  • User says "I'm not sure what we need" or "I'm not sure how to approach this"
  • During Phase 2 (Requirements) to explore WHAT to build
  • During Phase 3 (Technical Design) to explore HOW to build it

Phase 2 Focus (Requirements):

  • Clarifying what the feature should do
  • Exploring different requirement scopes
  • Understanding user needs and constraints
  • Determining must-haves vs. nice-to-haves

Phase 3 Focus (Design):

  • Exploring architectural approaches
  • Comparing technical solutions
  • Analyzing implementation trade-offs

Research-Driven Exploration

When exploring unclear requirements or designs, use web research to inform decisions:

For Requirements Exploration:

  • Use WebSearch to find how others have solved similar problems
  • Use WebFetch to analyze competitor features and documentation
  • Research user expectations and industry standards

For Design Exploration:

  • Use WebSearch to find architectural patterns and best practices
  • Use WebFetch to read library/framework documentation
  • Research performance benchmarks and case studies

For API Integration:

  • Use Bash with curl to explore and test API endpoints
  • Fetch API schemas and documentation
  • Understand rate limits, authentication, and constraints

Research Questions to Answer:

  • "How do similar products handle this?"
  • "What are common pitfalls to avoid?"
  • "What's the current best practice (2025)?"
  • "Are there established patterns for this problem?"
🗣 Say: "Let me research this before proposing options. I'll look for prior art and best practices."

Document Research:

  • Share key findings with user before presenting options
  • Include sources for transparency
  • Note any conflicting approaches found

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

When to UltraThink: Before proposing architectural approaches, activate deep thinking if:

  • Multiple valid solutions exist with significant trade-offs
  • Decision has long-term architectural implications
  • Requirements involve complex system interactions
  • Security or performance are critical concerns
🗣 Say: "Let me ultrathink this before proposing approaches. I'll question fundamentals and consider implications from first principles."

During UltraThink:

  • Question assumptions about requirements
  • Consider second-order effects of each approach
  • Think about what could go wrong (pre-mortem)
  • Evaluate against similar systems you've seen
  • Consider future maintainability and evolution

After UltraThink: Provide approaches with clear reasoning about trade-offs and long-term implications.

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
  • Consider:

- Complexity (Low/Medium/High) - Maintainability - Performance implications - Security considerations - Testability

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

After Brainstorming

For Requirements (Phase 2):

  • Write validated requirements to docx/features/[NN-feature-name]/requirements.md
  • Use EARS format (Event-Driven, State-Driven, Ubiquitous, Conditional, Optional)
  • Include:

- Overview - Functional requirements - Non-functional requirements (performance, security, usability) - Constraints - Acceptance criteria - Out of scope items

  • Ask: "Requirements complete. Ready for design phase?"

For Design (Phase 3):

  • Write the validated design to docx/features/[NN-feature-name]/design.md
  • Include:

- Architecture Overview - Component Structure - Data Flow - API Contracts - Error Handling Strategy - Security Considerations - Performance Considerations - Testing Strategy

  • Ask: "Design complete. Ready for task breakdown?"

Transition:

  • After requirements → Proceed to Phase 3 (Technical Design)
  • After design → Transition to spec-driven-implementation skill for task breakdown

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
  • Think about testing - Good designs are testable designs
  • Consider security - Build security in, don't bolt it on later

Example Questioning Flow

Understanding Purpose:

Q: "What's the primary goal of this authentication feature?"
→ User answers

Q: "Should it support multiple auth methods (email/password, OAuth, etc.)
   or just one method initially?"
→ User answers

Q: "What happens when a session expires - force re-login or offer refresh?"
→ User answers

Exploring Approaches:

Based on your requirements, I see 3 main approaches:

**Option A: JWT-Based Authentication** [RECOMMENDED]
Pros: Stateless, scalable, works across services, standard
Cons: Token invalidation complexity, larger payload
Complexity: Medium
Best for: Microservices, APIs, future scalability

**Option B: Session-Based Authentication**
Pros: Simple invalidation, smaller cookies, familiar
Cons: Requires session storage, scaling challenges
Complexity: Low
Best for: Monolithic apps, simple use cases

**Option C: Hybrid Approach**
Pros: Combines benefits of both
Cons: More complex, harder to maintain
Complexity: High
Best for: Complex enterprise requirements

I recommend Option A (JWT) because your requirements mention
potential API integrations and future mobile app support.
JWT is industry-standard for this use case.

Does this align with your thinking?

Presenting Design Incrementally:

Let me present the architecture in sections:

**Section 1: High-Level Flow**
[200-300 words describing auth flow]

Does this look right so far?
→ User validates or requests changes

**Section 2: Component Structure**
[200-300 words describing components]

How does this look?
→ Continue...

Integration with Spec-Driven Workflow

This skill can be used in two phases:

Phase 2 (Requirements):

  • Use when user has rough idea but unclear requirements
  • Helps clarify what to build vs. what's out of scope
  • Explores different feature scopes and priorities
  • Outputs to requirements.md in EARS format

Phase 3 (Technical Design):

  • Use after requirements are defined
  • Helps explore how to build the feature
  • Compares architectural approaches with trade-offs
  • Outputs to design.md with complete technical specs

After brainstorming completes:

  • Phase 2 → Proceed to Phase 3 (Technical Design)
  • Phase 3 → Transition to spec-driven-implementation for task breakdown

Notes

  • Phase 2: Focus on "what" (what should system do? what's in/out of scope?)
  • Phase 3: Focus on "how" (how should we build it? what are trade-offs?)
  • Always present multiple options before recommending
  • Validate incrementally - don't dump everything at once
  • Be ready to backtrack if something doesn't make sense
  • One question at a time - let user think and respond
  • Good requirements lead to good designs
  • Good designs enable good tests - think about testability
  • Security and error handling are not afterthoughts

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

Claude Code

30.56%
按下载量换算41

windsurf

20.89%
按下载量换算28

trae

19.6%
按下载量换算26

OpenCode

11.56%
按下载量换算16

Codex

8.37%
按下载量换算11

github-copilot

3.38%
按下载量换算5

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。

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