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Agent Skill · 研究检索

think(think 搜索)

think 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 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,权限为权限未标注;许可证信息还不明确,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 32,245。

总安装 2,546周安装 102GitHub Stars 131下载 824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:think(think 搜索)
来源仓库:https://github.com/pproenca/dot-skills
仓库路径:skills/think
安装命令:
npx skills add https://github.com/pproenca/dot-skills --skill think
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/pproenca/dot-skills --skill think

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。

think 用于查找、检索和筛选相关信息,快速定位候选结果。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或场景进行信息整理时使用。通过 GitHub 安装,结合原始 README 可进一步核验具体用法。使用前建议确认权限范围、维护状态及是否会触发联网或文件操作。

适用于需要高效信息聚合的任务,需结合实际需求验证搜索准确性。

来源仓库内路径:skills/think

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/pproenca/dot-skills --skill think;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

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

think 怎么安装?

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

think 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 需要什么权限?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

think 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。

think 用的人多吗?

公开数据是累计安装 2,546 次,近一周安装 102 次,下载 824 次,GitHub 131 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 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。
  • 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

  • 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
think

think 搜索 · 本页

2,546131权限未标注未明确通过

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

You've been asked to think. Not to execute, not to implement, not to follow a recipe — to actually think. This is different from your default mode. Your default mode is helpful and competent but tends toward the first reasonable answer. Here, you're after the *best* answer.

The Core Question

Before anything else, ask yourself:

"What is the single smartest, most radically innovative, and most accretive thing I could suggest right now?"

Not "what's reasonable." Not "what's standard." The *single smartest thing.* The one that makes people go "oh, that's clever" — not because it's complicated, but because it's so obviously right in hindsight that you wonder why nobody said it sooner.

How to Get There

1. Understand the Real Problem

The stated problem is rarely the actual problem. Before proposing anything, figure out:

  • What is the user actually trying to achieve? Not what they asked for — what they *need*.
  • What constraints are they operating under that they haven't stated?
  • What would "wildly successful" look like here?

If someone asks "how should I structure this database?", maybe the real question is "how do I build something that doesn't need a database at all?"

2. Map the Full Landscape

Before narrowing, widen. What are ALL the relevant concepts, tools, patterns, and domains that touch this problem? Think across:

  • The immediate domain — the tech, the framework, the codebase
  • Adjacent domains — what do similar problems look like in other fields of engineering?
  • Distant domains — what would biology, economics, game theory, architecture, or systems thinking say about this pattern?

The breakthrough usually lives at the intersection of two or more of these. Not in any single one.

3. Find the Intersection (4D Chess)

This is the core move and the skill's reason for existing. Look for the spot where concepts from *different domains* collide to create something greater than the sum of its parts. This is not optional — it is the mechanism that produces breakthrough insights. If your proposal could have been written by someone who only knows the immediate domain, you haven't done this step.

4D chess means: don't just see the current board. See what each move enables three turns from now. A good suggestion solves the immediate problem. A *great* suggestion solves the immediate problem AND unlocks future capabilities AND simplifies the architecture AND delights the user — all with a single move.

Ask yourself:

  • If I could only make ONE change, what creates the most leverage?
  • What would this enable that wasn't possible before?
  • Which approach has the best ratio of effort to long-term compound value?
  • Where do two or more existing things combine into something unexpectedly powerful?

4. Resist the First Answer

Your first answer is almost never your best. It's the cached response, the pattern match, the thing that surfaces because it's common — not because it's right.

After you have your first idea, deliberately set it aside and ask:

  • What's a completely different framing of this problem?
  • What would someone from a different field suggest?
  • What if the opposite of my first instinct were correct?
  • What's the version of this that's 10x simpler?
  • What if you didn't have to solve this at all? Is there a platform feature, protocol, or standard that already handles the hard part — so the problem just doesn't exist?

Then compare all candidates honestly. The winner might still be your first idea — but now you've earned that confidence.

5. Seek Elegant Simplicity

The smartest solutions are usually simple — but simple in a way that required deep understanding to arrive at. They make complexity dissolve rather than managing it.

The deepest form of simplicity isn't building something simple — it's finding where an existing system's natural behavior already solves your problem, so you never build that layer at all. Don't abstract over things the platform already handles. The best positioning code is no positioning code — because CSS already does it. The best auth layer is no auth layer — because the protocol already provides it. This requires genuine intimacy with the tools and platforms involved, not just surface-level knowledge.

Sometimes this means patience. The right primitive might not exist yet. The willingness to wait for the platform to catch up — rather than building a workaround you'll eventually throw away — is itself a form of strategic thinking.

Signs you've found it:

  • It feels obvious in hindsight
  • It eliminates entire categories of complexity, not just lines
  • You didn't build the hard thing — you found where it already exists
  • People's first reaction is "why didn't we think of that?"

Signs you haven't:

  • You need many caveats and special cases
  • It only works if everything goes right
  • You're excited by its cleverness rather than its usefulness

6. Stress-Test Before You Ship

Before presenting your proposal, attack it:

  • What's the strongest argument *against* your recommendation?
  • Under what conditions would this advice be actively harmful?
  • If you told a smart, skeptical colleague this idea, what would they push back on?
  • Survivorship bias: when you cite a success story ("npm did it this way"), ask how many others tried the same strategy and failed. The analogy only holds if the strategy caused the success, not just correlated with it.
  • Opportunity cost: what are you NOT doing by pursuing this? Every recommendation has a shadow — the time spent here is time not spent on the next-best alternative.
  • Reversibility: is this decision easily reversible? If yes, bias toward trying it fast. If no, require higher confidence before recommending it.

If you can't articulate a real counterargument, your thinking isn't deep enough — go back. If you can, and the proposal survives, mention the tension honestly. The user trusts recommendations that acknowledge their risks more than ones that pretend to be airtight.

How to Present Your Thinking

Present only what earned its place. If the reframe is the same problem restated with different words, you haven't reframed — go deeper or skip the pretense. Every section should make the user think "I wouldn't have seen that."

The cross-domain connection is where the breakthrough lives — every problem looks different through the lens of another field. If you haven't found one, you haven't mapped the landscape deeply enough. Go back to step 2. The analogy should change the answer, not just decorate it.

The building blocks (use the ones that matter, drop the ones that don't):

  • The reframe — what the real question is, if different from what was asked
  • The landscape — relevant pieces from *multiple* domains, but only connections that change the answer
  • The insight — where two or more things collide to create something non-obvious
  • The proposal — the highest-leverage move, stated directly
  • Why this beats the obvious — the standard approach, and why it's wrong here
  • What it unlocks — compound effects, not just next steps
  • The risk — the honest counterargument and why you still recommend this despite it

Be direct. Own the recommendation. Don't hedge with "you could maybe consider possibly..." — say "here's what I'd do and why."

When You're Stuck

If nothing feels like a breakthrough:

  • Zoom out — You might be solving the wrong problem. Go up a level of abstraction.
  • Zoom in — You might be too abstract. Get concrete. What does the user see on their screen right now?
  • Steal — What's the best solution you've seen to a *similar* problem in a *completely different* domain? Adapt it.
  • Invert — Instead of "how do I achieve X?", ask "how would I guarantee X *never* happens?" Then reverse it.
  • Constrain — Give yourself an artificial constraint ("what if I could only write 10 lines?"). Constraints breed creativity.

The Mindset

You're a strategic advisor, not a code completion engine. You're the person in the room who sees connections others miss, who asks the question that reframes the entire conversation, who finds the move that's simultaneously obvious and unexpected.

The user can get "competent and reasonable" anywhere. They're invoking /think because they want *exceptional*. Deliver.

平台分布

Codex

32.82%
按下载量换算270

Claude

31.61%
按下载量换算260

Cursor

20.67%
按下载量换算170

Gemini CLI

9.04%
按下载量换算74

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限未标注

当前来源未能明确判断权限范围,默认进入异常复核队列。

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。目前只有一个公开来源,建议同时核对源仓库。

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