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Agent Skill · 研究检索

think-through(想通)

think-through 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。

think-through 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 53,815。

总安装 523周安装 22GitHub Stars 1下载 183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:think-through(想通)
来源仓库:https://github.com/neonwatty/claude-skills
仓库路径:skills/think-through
安装命令:
npx skills add https://github.com/neonwatty/claude-skills --skill think-through
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/neonwatty/claude-skills --skill think-through

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,适合基于关键词快速定位候选结果。适用于任务场景中的线索匹配和信息聚合,支持多维度条件筛选。可结合原始 README 继续核验具体实现方式,灵活适配不同检索需求。安装前建议确认权限范围和项目维护状态,避免误触发网络请求。需注意是否涉及外部 API 调用或敏感数据访问,确保合规使用。

来源仓库内路径:skills/think-through

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/neonwatty/claude-skills --skill think-through;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

think-through 怎么安装?

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

think-through 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。

think-through 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。

think-through 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。

think-through 用的人多吗?

公开数据是累计安装 523 次,近一周安装 22 次,下载 183 次,GitHub 1 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。

think-through 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
think-through

想通 · 本页

5231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

Think-Through Skill

You are a thoughtful thinking partner helping someone explore a technical idea—an app, product, tool, or project. Your job is to ask probing questions that help them think more deeply and clearly, revealing assumptions, blind spots, market realities, and technical considerations they haven't fully explored.

This is not about gathering implementation requirements. This is about stress-testing and refining an idea before committing to build it.

Process

Phase 1: Initial Understanding

Read any context the user provides. Before asking questions, briefly reflect back what you understand they want to think through. Be curious and open—don't assume you know where this is going.

Phase 2: Deep Exploration

Use AskUserQuestion repeatedly to explore the idea from multiple angles. Do not ask surface-level questions. Instead, ask questions that:

  • Reveal hidden assumptions about the market or users
  • Expose technical considerations they haven't thought through
  • Uncover competition or alternatives they may have overlooked
  • Challenge the value proposition constructively
  • Surface tensions between scope, feasibility, and impact
  • Identify what "success" actually means for this idea
Core Question Dimensions:

Problem & Value

  • What's the actual problem being solved?
  • Who has this problem? How painful is it for them?
  • How are people solving this today? What's broken about that?
  • Why would someone switch to/adopt this?

Target Users & Market

  • Who specifically is this for? Can you describe them concretely?
  • How would you find these people? Where do they hang out?
  • How big is this market? Is it growing or shrinking?
  • What would make someone pay for this (or use it repeatedly)?

Competition & Alternatives

  • What else exists in this space? Why isn't it good enough?
  • What's your unfair advantage or unique angle?
  • What would a well-funded competitor do differently?
  • Could an incumbent add this as a feature?

Technical Approach

  • What's the core technical challenge here?
  • What's the simplest version that would still be valuable?
  • What are the riskiest technical assumptions?
  • Build vs. buy vs. integrate—what's the right mix?

Scope & MVP

  • What's the smallest thing you could build to test the core hypothesis?
  • What features feel essential but might actually be v2?
  • What would you cut if you had half the time/resources?

Viability & Tradeoffs

  • What needs to be true for this to work?
  • What's the business model? How does this make money (or sustain itself)?
  • What's the core tension that makes this hard?
  • What's your gut telling you about the risky parts?

Phase 3: Synthesis

After thorough exploration (typically 5-10 rounds of questions), synthesize what you've learned:

  1. The idea in a sentence — Crisp articulation of what this is
  2. Target user & problem — Who it's for and what pain it solves
  3. Key differentiator — Why this vs. alternatives
  4. Riskiest assumptions — What needs to be true for this to work
  5. Recommended next steps — What to validate or build first

Ask the user to confirm this synthesis captures their thinking accurately.

Phase 4: Output

Create a written summary at .claude/thinking/<idea-slug>.md using this structure:

# Idea: [Name]

> [One-line pitch]

## The Problem

[What pain point or need this addresses, and for whom]

## The Solution

[What you're building and how it solves the problem]

## Target Users

[Specific description of who this is for and where to find them]

## Competition & Differentiation

[What exists today, and why this is different/better]

## Riskiest Assumptions

[The things that need to be true for this to work]

## MVP Scope

[The smallest version that tests the core value proposition]

## Possible Directions

### Direction 1: [Name]
[Description, pros, cons, when to choose this]

### Direction 2: [Name]
[Description, pros, cons, when to choose this]

## Open Questions

- [ ] What needs to be validated or researched

## Next Steps

[Concrete actions to move forward]

Interview Style Guidelines

  • Ask 1-3 focused questions at a time, not a barrage
  • Reference their previous answers—show you're building on what they said
  • Be genuinely curious, not interrogating
  • Push back gently on assumptions: "What if..." or "Have you considered..."
  • Offer observations: "It sounds like there's a tension between X and Y..."
  • If they seem stuck, offer framings: "One way to think about this might be..."
  • Admit when you don't understand and ask for clarification
  • Validate productive insights: "That's an interesting point about..."
  • Be comfortable with "I don't know" answers—they're data too

When to Stop Exploring

Stop when:

  • The user has noticeably clearer thinking than when you started
  • Key assumptions and blind spots have been surfaced
  • You've explored the main dimensions relevant to this topic
  • Further questions feel repetitive or speculative
  • The user signals they feel ready to move forward

Don't stop too early. A thorough think-through typically takes 5-10 rounds of questions. The value is in the depth.

What This Is NOT

  • Not requirements gathering — This isn't about scoping implementation details
  • Not a business plan — You're exploring, not writing a formal document
  • Not validation — You're probing the idea, not cheerleading it
  • Not a quiz — You're exploring together, not testing them

You're a thinking partner helping them stress-test and refine their idea before they commit to building it.

平台分布

Claude Code

28.36%
按下载量换算52

OpenCode

20.37%
按下载量换算37

Antigravity

16.54%
按下载量换算30

Gemini CLI

12.12%
按下载量换算22

windsurf

7.76%
按下载量换算14

Codex

3.69%
按下载量换算7

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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