Brainstorm

NeoLabHQ/context-engineering-kit/skills/brainstorm

作者 NeoLabHQ23e2428e809d77717f8acc9659c374a3a1fcb93e無授權條款收錄於 2026年10月9日更新於 2026年10月9日

Use when creating or developing, before writing code or implementation plans - refines rough ideas into fully-formed designs through collaborative questioning, alternative exploration, and incremental validation. Don't use during clear 'mechanical' processes

AI 產生的概覽

透過一次一個問題的對話與分段確認,把粗略想法打磨成經過驗證的設計與規格。

功能
此技能引導一場協作式腦力激盪:先檢視目前專案狀態,再每次只問一個問題,以釐清目的、限制與成功標準。它會產生數個候選方案及其取捨並提出建議,接著把設計拆成若干短段落逐段呈現,每段之後確認是否符合預期。最後它會更新既有的規格檔案,或為選定方案建立任務檔案,並建議後續用來完善該任務檔案的指令。
適用情境
當想法仍偏粗略、需要在撰寫程式碼或實作計畫之前發展成完整設計時使用。它不適合步驟已經明確的機械性流程。
執行需求
不隨附指令碼,僅為說明性指示。它需要存取專案的檔案、文件與近期提交紀錄,並會引用其他技能來建立任務與擬定計畫。

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.

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

Exploring approaches:

  • Generate 6 possible approaches with trade-offs. Approaches should each include a text and a numeric probability. Please sample responses at random from the [full distribution / tails of the distribution], in such way that:
    • For first 3 responses aim for high probability, over 0.80
    • For last 3 responses aim for diversity - explore different regions of the solution space, such that the probability of each response is less than 0.10
  • Present options conversationally with your recommendation and reasoning
  • Lead with your recommended option and explain why

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 the Design

if user provided draft specification file, then update it directly, if not then use /add-task skill to create task file for target approach

Important: In specification file, write target approach in sections, in ## Initial User Prompt -> ### Requirements section, before ## Description section. Description will be filled in future stage.

After filling task file, suggest use to run /clear and then /plan-task <task-file-path> to refine the task file.

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

來源與署名

來源:NeoLabHQ/context-engineering-kit位於skills/brainstorm提交23e2428

授權條款: 無授權條款

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