Tazio7

Brainstorming

AI 智能体v1.0.0
作者:Tazio7更新于 2026-05-11brainstorming-tazio@clawhub_tazio7/brainstorming-tazio
任务自动化工作流编排上下文管理

据 AlphaMoat 统计,截至 2026-10,Brainstorming 累计下载 10,220 次、获 5 个星标,按累计下载量在本次参与排名的 10,914 个 AI 技能中排名第 2,669 位,在「AI 智能体」分类(1,632 个)中排名第 357 位。

列表默认按累计下载量排序,也可按星标排序;详情页排名按累计下载量计算。

累计下载
1.0万
星标
5
全站下载量排名
#2,669
全站前 25% · 「AI 智能体」前 22%
平台累计下载星标评论
ClawHub ↗6,8492-
SkillHub ↗1.0万5—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

先了解项目背景,逐一提问、比较备选方案,并在实现前分段确认设计。它是规划方法,不保证设计正确;写设计文件、提交git或设置实施工作前需获得授权。

资料发布于 2026-10-27

可以用来做什么

  • 协作式功能设计讨论

什么时候用

  • 需要协作式功能设计讨论时。

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

澄清这个功能的目标与约束,再比较可行方案。

月度数据趋势

累计下载1.0万
8905,9011.1万2026-03 · 累计下载 1,5812026-05 · 累计下载 5,3152026-07 · 累计下载 6,6992026-08 · 累计下载 7,6322026-09 · 累计下载 8,2752026-10 · 累计下载 1.0万26-0326-0926-10
星标5
0352026-03 · 星标 -2026-05 · 星标 42026-07 · 星标 52026-08 · 星标 52026-09 · 星标 52026-10 · 星标 526-0326-0926-10

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份累计下载环比星标
2026-101.0万—5
2026-098,275—5
2026-087,632+13.9%5
2026-076,699—5
2026-055,315—4
2026-031,581—-

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。

2.4 KB · ClawHub v1.0.0
---
name: brainstorming
description: "You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation."
---

# Brainstorming Ideas Into Designs

## Overview

Help turn ideas into fully formed designs and specs through natural collaborative dialogue.
展开全部(共 55 行)

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:**
- Propose 2-3 different approaches with trade-offs
- 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

**Documentation:**
- Write the validated design to `docs/plans/YYYY-MM-DD-<topic>-design.md`
- Use elements-of-style:writing-clearly-and-concisely skill if available
- Commit the design document to git

**Implementation (if continuing):**
- Ask: "Ready to set up for implementation?"
- Use superpowers:using-git-worktrees to create isolated workspace
- Use superpowers:writing-plans to create detailed implementation plan

## 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

「AI 智能体」分类下的热门技能

数据月份:2026-10 · 下载/星标数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。