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Agent Skill · 研究检索

bmad-idea(疯狂的想法)

bmad-idea 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。

bmad-idea 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,权限为需要联网;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 35,747。

总安装 2,032周安装 83GitHub Stars 11下载 657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:bmad-idea(疯狂的想法)
来源仓库:https://github.com/akillness/oh-my-skills
仓库路径:skills/bmad-idea
安装命令:
npx skills add https://github.com/akillness/oh-my-skills --skill bmad-idea
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/akillness/oh-my-skills --skill bmad-idea

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。

用于早期创意输入与概念路由,减少模糊性。适合将混乱想法标准化为可执行的概念包。可输出单一框架化成果,供后续技能使用。安装命令:npx skills add https://github.com/akillness/oh-my-skills --skill bmad-idea。

使用前建议确认是否具备足够上下文以支持概念落地。

来源仓库内路径:skills/bmad-idea

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/akillness/oh-my-skills --skill bmad-idea;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

    它需要需要联网,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

bmad-idea 怎么安装?

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

bmad-idea 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。

bmad-idea 需要什么权限?

权限级别是需要联网。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。

bmad-idea 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。

bmad-idea 用的人多吗?

公开数据是累计安装 2,032 次,近一周安装 83 次,下载 657 次,GitHub 11 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。

bmad-idea 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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
bmad-idea

疯狂的想法 · 本页

2,03211需要联网未明确未通过

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

BMAD Idea Router

Use this skill as the repository's pre-planning creative intake and concept-routing layer.

The job is not to dump dozens of ideation techniques or persona gimmicks. The job is to:

  1. normalize a messy early-stage idea packet,
  2. choose the single framing mode that reduces ambiguity fastest,
  3. produce one concept artifact that downstream work can actually use,
  4. route the next step to the right neighboring skill.

Read references/operating-modes.md for mode-selection heuristics, references/handoff-boundaries.md for adjacent-skill routing, and references/concept-packet-template.md for reusable output scaffolding.

When to use this skill

  • The user has a rough idea and needs a clearer problem, audience, concept, or story before planning starts
  • The request is still ambiguous enough that jumping straight to a PRD, sprint plan, or launch plan would be premature
  • A product, service, content, or GTM idea needs one concept brief, positioning brief, or narrative packet first
  • A game idea needs pillars, player fantasy, core loop, and first concept framing before bmad-gds or task decomposition
  • The user explicitly mentions brainstorming, concept shaping, design thinking, positioning, JTBD-style framing, story packaging, or pre-planning clarification

When not to use this skill

  • The main need is phase-based delivery routing or deciding the next BMAD artifact after project framing already exists → use bmad
  • The main need is backlog slicing, story decomposition, estimation, or sprint preparation → use task-planning
  • The main need is broad marketing execution, launch planning, funnel work, or KPI-aware campaign routing → use marketing-automation
  • The main need is game-production coordination for an existing GDD, playtest packet, build issue, or milestone → use bmad-gds
  • The main need is only rewriting copy or polishing prose with no framing decision to make

Operating modes

Choose exactly one primary mode per run.

  1. Problem framing

- Use when the idea is fuzzy and the main gap is *what problem actually matters* - Best for founders, PMs, designers, and consultants starting from raw opportunity language

  1. Audience and value framing

- Use when the offer exists but the target user, JTBD, pains, gains, or differentiation are weak - Best for product marketing, GTM, and concept-validation work

  1. Concept shaping

- Use when the direction is promising but still needs a tighter concept, constraints, options, and core promise - Best for product, feature, service, and offer-level idea shaping

  1. Game concept framing

- Use when the packet is about game fantasy, pillars, audience, core loop, progression, or tone before production planning - Best for solo developers and small game teams before bmad-gds

  1. Story packaging

- Use when the main need is a narrative, pitch, concept story, or internal alignment packet - Best when the problem is understanding and buy-in rather than raw ideation volume

Instructions

Step 1: Normalize the idea intake

Capture the packet in this format before choosing a mode:

idea_packet:
  domain: product | gtm | content | consulting | game | mixed | unknown
  stage: raw-idea | rough-concept | candidate-offer | concept-with-notes | narrative-draft | unknown
  audience:
    primary_user: "who this is for"
    pains_or_needs:
      - pain 1
      - pain 2
  problem_or_goal: "what change or outcome is this idea trying to create?"
  current_material:
    - notes
    - brainstorm bullets
    - positioning draft
    - customer research
    - game concept notes
    - moodboard / references
    - pitch / story draft
  strongest_unknown: problem | audience | value | concept-scope | game-pillars | narrative | unknown
  downstream_target: bmad | task-planning | marketing-automation | bmad-gds | deck | unknown
  constraint: time | scope | evidence | differentiation | alignment | unknown

If the packet is incomplete, continue with explicit assumptions instead of stalling.

Step 2: Choose one primary mode

Select the mode that reduces ambiguity fastest.

If the biggest gap is...Choose...Primary output
We do not yet know what problem is worth solvingProblem framingproblem brief
We do not know for whom this idea matters or why it is betterAudience and value framingpositioning brief
We have too many half-ideas and need one tighter conceptConcept shapingconcept brief
We need to define fantasy, pillars, loop, and hook for a gameGame concept framinggame concept packet
The idea exists but people do not understand or support it yetStory packagingstory / pitch packet

Do not mix multiple modes unless the user explicitly asks for a two-pass workflow.

Step 3: Produce one concept artifact

Return exactly one primary artifact:

  • problem brief
  • positioning brief
  • concept brief
  • game concept packet
  • story / pitch packet

The artifact should be concise, reusable, and ready to hand to a downstream skill.

Step 4: Make route-outs explicit

When the concept artifact is done, recommend the next downstream lane if appropriate:

  • bmad → when the next job is phase routing and selecting PRD / tech spec / architecture / sprint-plan depth
  • task-planning → when the concept is approved and needs backlog slices, milestones, or execution packets
  • marketing-automation → when the concept is sound and now needs launch, messaging operations, campaign structure, or KPI-aware marketing follow-through
  • bmad-gds → when the game concept is strong enough to turn into milestones, GDD slices, playtest planning, or production coordination

Always state why that route-out is next and what packet should be passed forward.

Step 5: Use this output structure

# Idea Routing Brief

## Scope
- Domain: ...
- Stage: ...
- Strongest unknown: ...
- Downstream target: ...
- Confidence: high | medium | low

## Chosen mode
- problem-framing | audience-and-value-framing | concept-shaping | game-concept-framing | story-packaging

## What matters most now
- 2-4 bullets grounded in the packet

## Recommended artifact
- problem brief | positioning brief | concept brief | game concept packet | story / pitch packet

## Artifact contents
| Section | Decision | Why it matters now |
|---------|----------|--------------------|
| ... | ... | ... |

## Immediate next steps
1. ...
2. ...
3. ...

## Route-outs
- Skill / workflow: ...
- Why next: ...
- What to pass forward: ...

## What not to do yet
- 1-3 bullets preventing premature planning, launch detail, or execution drift

Step 6: Keep the artifact lean and decision-oriented

Good outputs are short enough to reuse.

Guardrails:

  • prefer a few strong decisions over a giant brainstorm transcript
  • convert ideas into constraints, assumptions, and next artifacts
  • preserve uncertainty explicitly instead of pretending the concept is resolved
  • stop before roadmap depth, sprint decomposition, or campaign execution unless the user asks for the handoff skill next

Compatibility commands and legacy naming

Older BMAD-CIS usage may mention these commands or personas:

  • bmad-cis-brainstorming
  • bmad-cis-design-thinking
  • bmad-cis-innovation-strategy
  • bmad-cis-problem-solving
  • bmad-cis-storytelling
  • Carson / Maya / Victor / Dr. Quinn / Sophia

Treat them as mode hints, not separate first-class workflows. Map them into the modern modes above:

  • brainstorming / design thinking / problem solving → usually problem framing or concept shaping
  • innovation strategy → usually audience and value framing or concept shaping
  • storytelling → usually story packaging

Output format

Always return a short operator-style idea routing brief.

Required qualities:

  • one chosen mode, not a kitchen sink of creativity tactics
  • one reusable artifact, not a pile of disconnected ideas
  • explicit route-outs to neighboring skills when the next lane is clear
  • visible assumptions and unresolved questions
  • keep the result under roughly 400-700 words unless the user asks for a larger concept packet

Examples

Example 1: product concept before planning

Input

Use bmad-idea. We think there is an opportunity around AI-assisted team handoffs, but we do not know the sharp problem or who it is really for.

Output sketch

  • Chosen mode: problem framing
  • Recommended artifact: problem brief
  • Route-out after approval: bmad

Example 2: GTM / positioning ambiguity

Input

We built a workflow tool, but our messaging is fuzzy and every pitch sounds generic.

Output sketch

  • Chosen mode: audience and value framing
  • Recommended artifact: positioning brief
  • Route-out after approval: marketing-automation

Example 3: game concept shaping

Input

Help us shape a cozy automation game idea before we start a real GDD.

Output sketch

  • Chosen mode: game concept framing
  • Recommended artifact: game concept packet
  • Route-out after approval: bmad-gds

Best practices

  1. Act like a concept router, not a prompt zoo — choose one framing mode that fits the ambiguity.
  2. Prefer one artifact that travels well — the point is to make downstream planning easier.
  3. Use neighboring skills on purpose — bmad, task-planning, marketing-automation, and bmad-gds each own later-stage work.
  4. Keep uncertainty visible — a concept brief should surface assumptions, not bury them.
  5. Bridge domains without flattening them — product, GTM, and game ideas share structure, but their outputs differ.
  6. Treat legacy commands as compatibility language — the modern source of truth is the routing model.

References

平台分布

Codex

37.62%
按下载量换算247

Claude

28.69%
按下载量换算188

Cursor

19.27%
按下载量换算127

Gemini CLI

9.92%
按下载量换算65

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

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。

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