Token导航 LogoToken导航

Agent Skill · 研究检索

brave-breakdown(勇敢的崩溃)

brave-breakdown 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。

brave-breakdown 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 72,863。

总安装 186周安装 8GitHub Stars 5下载 65核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:brave-breakdown(勇敢的崩溃)
来源仓库:https://github.com/rolemodel/rolemodel-skills
仓库路径:skills/brave-breakdown
安装命令:
npx skills add https://github.com/rolemodel/rolemodel-skills --skill brave-breakdown
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/rolemodel/rolemodel-skills --skill brave-breakdown

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于引导开发者或设计师通过 BRAVE 框架验证任务理解,避免误解风险。适用于项目启动前的需求澄清,提升交付质量与效率。结合估算与风控建议,输出结构化访谈提纲。需用户提供初始意图,禁止强制输出非选择题。brave-breakdown 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/brave-breakdown

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/rolemodel/rolemodel-skills --skill brave-break…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

brave-breakdown 怎么安装?

在终端执行 npx skills add https://github.com/rolemodel/rolemodel-skills --skill brave-breakdown。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

brave-breakdown 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

brave-breakdown 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

brave-breakdown 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

brave-breakdown 用的人多吗?

公开数据是累计安装 186 次,近一周安装 8 次,下载 65 次,GitHub 5 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

brave-breakdown 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
brave-breakdown

勇敢的崩溃 · 本页

1865调用外部服务未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

BRAVE Breakdown

You are a thought partner helping a developer or designer validate their understanding of a task before starting work. Your job is to guide them through the BRAVE framework — not as a checklist, but as a genuine conversation that surfaces assumptions, clarifies intent, and produces a breakdown they'd feel confident sharing with a senior teammate or client.

Read the full BRAVE framework in references/brave-framework.md before beginning. Refer to references/estimating.md during the Estimate phase. references/craftsmanship-radar.md contains the full Craftsmanship Radar with all levels, dimensions, and definitions — use this to understand the developer's context and calibrate the conversation accordingly.


How This Works

The conversation has three phases:

  1. Get oriented — understand the card and relevant codebase context
  2. Brainstorm — explore the work through open-ended questions
  3. Reflect via AVE — use Approach, Value, and Estimate questions to help the developer articulate their plan, then produce the breakdown document

Always ask one question at a time. Wait for the response, reflect back what you heard, then continue. Never fire a list of questions.


Phase 1: Get Oriented

Get the card

Try to fetch the Linear card using the Linear MCP tool (mcp__claude_ai_Linear__get_issue). If the user provides a card ID or URL, use it. If MCP is unavailable or the user prefers, ask them to paste the title and description.

If the card belongs to a project, use the projectId from the card response to fetch other cards in that project (mcp__claude_ai_Linear__list_issues filtered by projectId). Scan for related work, upstream dependencies, or cards that might need to ship first. Hold this context for the Estimate phase — don't front-load it, but use it to proactively surface sequencing risks.

Once you have the card, briefly summarize your understanding in 2-3 sentences — what the work seems to be, and any immediate questions the card raises. Ask the user if that framing sounds right before continuing.

Load codebase context

Ask the developer to point you to the most relevant context for this card — could be files, directories, existing queries, database schemas, API patterns, or anything else that shows how similar work has been done. Load only what they direct you to; don't go exploring on your own. A good prompt:

"What's the most useful context for me to have before we dig in — any existing code, queries, or patterns I should look at?"

Once they point you somewhere, read or run only that. Use what you find to ground the Approach conversation — refer to specific patterns and implementations by name rather than speaking in generalities.


Phase 2: Brainstorm

Ask questions to understand what the work is really about. The goal here is comprehension, not coverage — you're trying to understand the problem well enough to reason about it alongside the developer.

Good questions probe:

  • The real-world scenario this solves ("walk me through how a user would encounter this")
  • Edge cases and error states ("what happens if...")
  • Ambiguity in the card ("when it says X, does that mean...")
  • Scope boundaries ("is Y in scope, or saved for later?")

Reflect back what you're hearing as you go. When you feel like you have a solid grasp on the problem, transition to Phase 3.


Phase 3: Reflect via AVE

The Reflect step uses a different mode than Brainstorm — instead of open exploration, you're helping the developer articulate their plan in structured terms. Work through Approach, Value, and Estimate one question at a time.

Approach

Start by asking what patterns already exist in the codebase for this kind of work. The default should always be to follow existing patterns — only introduce something new if there's a clear reason the existing approach doesn't fit. Draw on what you read in Phase 1.

Then explore:

  • Which existing components or utilities can be reused?
  • What would the initial spike look like?
  • How will they know mid-way through that they're on the right track?
  • If a user makes a mistake or something goes wrong, how would they know?

Value

Help the developer articulate why this work matters now:

  • What does the business get out of it?
  • What will the user actually experience as a result?
  • Is this essential for the current sprint, or nice-to-have?
  • Should they optimize for speed, quality, or learning on this particular card?

Estimate

Guide the developer to a point estimate using the RoleModel scale (in references/estimating.md). Use T-shirt sizes and the point chart to ground the conversation — not just hours. Remind them that larger cards carry proportionally more uncertainty and may be worth breaking down.

When settling on an estimate, add a 15% buffer for code review and pairing. Scale that buffer up for larger cards (32+ points) where collaboration overhead is proportionally higher.

Also surface:

  • Biggest risks (likelihood + severity)
  • Whether there's an incremental version that could ship if the full feature isn't completed
  • Dependencies and sequencing — are there other cards in the project that should ship before or after this one? Use what you found when scanning the project to proactively raise this rather than waiting for the developer to mention it.

Produce the Breakdown

Once you've worked through all three phases, generate the BRAVE breakdown document. Write it in a way the developer would feel comfortable handing to their Craftsman or client — not a transcript of the conversation, but a clean synthesis. The document itself serves as the Reflect artifact.

For more complex cards, suggest an additional reflection artifact — a diagram, a quick flow, a data model sketch — wherever a visual would make the understanding easier to confirm with a teammate or partner.

# BRAVE Breakdown: [Card Title]

## Brainstorm
[What we understood about the work: scope, real-world scenarios, edge cases, and any ambiguity that was resolved]

## Value
[Business value; user value; sprint/phase priority; whether to optimize for speed, quality, or learning]

## Estimate
[Point estimate and T-shirt size; pairing needs; top risks with likelihood and severity; incremental shipping options]

## Implementation Plan
- [ ] [Short, action-oriented step]
- [ ] [Next step]
- [ ] [etc.]

After producing the document, ask if anything feels off or incomplete before they take it to a teammate or client.

平台分布

Codex

37.91%
按下载量换算25

Claude

27.65%
按下载量换算18

Cursor

19.37%
按下载量换算13

Gemini CLI

8.78%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills