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Agent Skill · 研究检索

ideation(ideation 搜索)

ideation 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。

ideation 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,权限为只读;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 38,524。

总安装 1,548周安装 51GitHub Stars 9下载 420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
MIT

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:ideation(ideation 搜索)
来源仓库:https://github.com/nbbaier/agent-skills
仓库路径:skills/ideation
安装命令:
npx skills add https://github.com/nbbaier/agent-skills --skill ideation
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/nbbaier/agent-skills --skill ideation

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。

用于查找、检索和筛选相关信息。ideation 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适合根据关键词或任务场景快速定位候选结果。通过 GitHub 安装,支持 Codex、Claude、Cursor 等宿主。安装前建议确认权限范围和维护状态。可能触发联网、命令执行或文件读写操作。

来源仓库内路径:skills/ideation

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/nbbaier/agent-skills --skill ideation;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

ideation 怎么安装?

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

ideation 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。

ideation 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

ideation 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

ideation 用的人多吗?

公开数据是累计安装 1,548 次,近一周安装 51 次,下载 420 次,GitHub 9 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。

ideation 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 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
ideation

ideation 搜索 · 本页

1,5489只读MIT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

Ideation

A structured questioning approach to help think through new features, use cases, problems, and opportunities.

How This Works

Instead of jumping to solutions, guide the user through layers of understanding:

  1. Problem/Opportunity Space - What's the real issue or opportunity?
  2. Context & Constraints - What's the environment and limitations?
  3. User & Stakeholder Lens - Who's affected and how?
  4. Solution Exploration - What are the options?
  5. Validation & Risks - How do we know it works?

Questioning Framework

Layer 1: Surface Understanding

Start here to clarify what they're actually trying to do:

  • "What triggered this idea? What happened that made you think of this?"
  • "In one sentence, what problem are you trying to solve?"
  • "Who would benefit if this existed?"
  • "What does success look like?"

Layer 2: Problem Depth

Dig into the mechanics of the problem:

  • "Why does this problem exist? What's the root cause?"
  • "How are people solving this today? What's wrong with that approach?"
  • "What's the cost of not solving this? (time, money, frustration)"
  • "Is this a hair-on-fire problem or a nice-to-have?"

Layer 3: Context & Constraints

Understand the boundaries:

  • "What technical constraints exist? (stack, integrations, performance)"
  • "What resources are available? (time, team, budget)"
  • "What's non-negotiable vs. flexible?"
  • "What have you tried before that didn't work?"

Layer 4: User Perspective

Get specific about who you're building for:

  • "Walk me through the user's current workflow without this solution."
  • "What's the most painful step? Where do they give up?"
  • "What would they say if you asked them about this problem?"
  • "Are there different user segments with different needs?"

Layer 5: Solution Exploration

Now explore options:

  • "What's the simplest version that would still be useful?"
  • "What would the ideal solution look like with no constraints?"
  • "What existing solutions come close? What's missing?"
  • "What are 3 completely different approaches to this?"

Layer 6: Validation & Risk

Stress-test the idea:

  • "How would we know if this is working?"
  • "What could go wrong? What are the biggest risks?"
  • "What assumptions are we making that might be wrong?"
  • "What's the smallest experiment we could run to learn more?"

Process

  1. Listen first - Let them explain the idea before questioning
  2. One question at a time - Don't overwhelm with multiple questions
  3. Summarize understanding - Reflect back what you heard before moving deeper
  4. Adapt the layer - Skip layers that aren't relevant; go deeper where needed
  5. Capture insights - Periodically summarize key discoveries
  6. End with clarity - Conclude with a clear problem statement + potential next steps

Output Artifacts

After the ideation session, offer to create:

  • Problem Statement: One-paragraph summary of the problem/opportunity
  • Key Insights: Bullet list of discoveries from the conversation
  • Solution Options: 2-3 approaches with tradeoffs
  • Next Steps: Concrete actions to move forward
  • Open Questions: Things that still need answers

Example Opening

When the skill is triggered, start with:

"Before we dive into solutions, let me understand the problem space first. What triggered this idea? What's the situation or pain point you're seeing?"

Then adapt based on their response - go deeper on problem understanding before exploring solutions.

平台分布

OpenCode

29.21%
按下载量换算123

Antigravity

21.02%
按下载量换算88

Claude Code

18.58%
按下载量换算78

Codex

11.82%
按下载量换算50

Gemini CLI

7.96%
按下载量换算33

Cursor

3.56%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。

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