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Agent Skill · 研究检索

thinking-model-router(思维模型路由器)

thinking-model-router 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。

thinking-model-router 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 49,774。

总安装 636周安装 26GitHub Stars 46下载 204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:thinking-model-router(思维模型路由器)
来源仓库:https://github.com/tjboudreaux/cc-thinking-skills
仓库路径:skills/thinking-model-router
安装命令:
npx skills add https://github.com/tjboudreaux/cc-thinking-skills --skill thinking-model-router
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/tjboudreaux/cc-thinking-skills --skill thinking-model-router

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。

思维模型路由器用于查找、检索和筛选相关信息,智能路由至最适分析范式。适合处理模糊需求、转型期挑战及非线性变化情境。基于语义相似度与历史用例,动态选择适用模型并解释理由。

安装命令:npx skills add https://github.com/tjboudreaux/cc-thinking-skills --skill thinking-model-router 路由逻辑透明性不足时,应启用人工复核开关以确保输出可靠性。

来源仓库内路径:skills/thinking-model-router

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/tjboudreaux/cc-thinking-skills --skill thinkin…;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

thinking-model-router 怎么安装?

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

thinking-model-router 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。

thinking-model-router 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。

thinking-model-router 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。

thinking-model-router 用的人多吗?

公开数据是累计安装 636 次,近一周安装 26 次,下载 204 次,GitHub 46 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。

thinking-model-router 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
thinking-model-router

思维模型路由器 · 本页

63646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

Model Router

Overview

This is the master routing skill for all mental models. Instead of knowing 38 frameworks, start here. Identify your domain and problem type, and this skill points you to the right model(s). Think of it as the "which tool do I use?" guide.

Core Principle: Don't memorize models—memorize how to find the right one. Domain + Problem Type → Model.

Quick Router

Step 1: What's Your Domain?

DomainYou're working on...
Coding/DebuggingBugs, errors, performance issues, root cause
ArchitectureSystem design, technical decisions, scalability
ProductFeatures, user needs, prioritization, roadmap
Business StrategyCompetition, growth, market, organization
Personal DecisionsCareer, life choices, major commitments
Abstract/AnalyticalArguments, ideas, theories, pure reasoning
Risk/SafetyWhat could go wrong, preparation, resilience
InnovationNew ideas, breakthroughs, creative solutions

Step 2: What's Your Problem Type?

TypeYou need to...
DiagnoseFind root cause, understand why
DecideChoose between options
UnderstandGrasp how something works
CreateGenerate new solutions
EvaluateJudge quality or validity
PredictForecast outcomes
OptimizeImprove performance

Domain → Model Maps

🖥️ Coding & Debugging

PROBLEM                          → MODEL(S)
─────────────────────────────────────────────────────
Bug with unknown cause           → Scientific Method, 5 Whys Plus
Performance degradation          → Theory of Constraints, Systems Thinking
Spans multiple services          → Systems Thinking, Feedback Loops
Incident postmortem              → 5 Whys Plus, Systems Thinking
Flaky/intermittent behavior      → Scientific Method (hypothesis testing)
"It works on my machine"         → Map-Territory (model vs reality gap)

Default for debugging: Start with 5 Whys Plus, escalate to Systems Thinking if it spans components.


🏗️ Architecture & Technical Decisions

PROBLEM                          → MODEL(S)
─────────────────────────────────────────────────────
Technology choice                → Lindy Effect, Reversibility
Build vs buy                     → Opportunity Cost, First Principles
Scalability design               → Systems Thinking, Leverage Points
Microservices vs monolith        → Cynefin, Reversibility
Database selection               → Lindy Effect, Theory of Constraints
API design tradeoffs             → TRIZ (resolve contradictions)
Should we rewrite?               → Second-Order, Opportunity Cost

Default for architecture: Start with Reversibility (is this Type 1 or Type 2?), then Systems Thinking for interconnections.


📦 Product & Feature Development

PROBLEM                          → MODEL(S)
─────────────────────────────────────────────────────
What should we build?            → Jobs to be Done
Feature prioritization           → Opportunity Cost, Theory of Constraints
Why aren't users engaging?       → Jobs to be Done, 5 Whys Plus
New product exploration          → Effectuation, First Principles
Should we pivot?                 → Regret Minimization, Reversibility
Product-market fit               → Jobs to be Done, Scientific Method
Roadmap planning                 → Theory of Constraints, Opportunity Cost
A/B test design                  → Scientific Method, Bayesian

Default for product: Start with Jobs to be Done (what job is the user hiring this for?).


📈 Business Strategy

PROBLEM                          → MODEL(S)
─────────────────────────────────────────────────────
Competitive analysis             → Red Team, Second-Order
Market entry                     → Cynefin, Effectuation
Growth strategy                  → Feedback Loops, Leverage Points
Organizational dysfunction       → Archetypes, Systems Thinking
Resource allocation              → Theory of Constraints, Opportunity Cost
Startup strategy                 → Effectuation, Margin of Safety
M&A evaluation                   → Pre-mortem, Steel-manning
Pricing decisions                → First Principles, Fermi Estimation

Default for strategy: Start with Cynefin (what domain is this problem in?), then match approach.


🧑 Personal & Career Decisions

PROBLEM                          → MODEL(S)
─────────────────────────────────────────────────────
Should I take this job?          → Regret Minimization, Reversibility
Career direction                 → Circle of Competence, Regret Minimization
Major life decision              → Regret Minimization, Pre-mortem
Learning what to learn           → Circle of Competence, Lindy Effect
Negotiation prep                 → Steel-manning, Red Team
Should I start a company?        → Effectuation, Margin of Safety, Pre-mortem
Time allocation                  → Opportunity Cost, Theory of Constraints

Default for personal: Start with Regret Minimization (what will 80-year-old you think?).


🧠 Abstract & Analytical Thinking

PROBLEM                          → MODEL(S)
─────────────────────────────────────────────────────
Evaluating an argument           → Steel-manning, Bayesian
Challenging assumptions          → First Principles, Socratic
Estimating unknowns              → Fermi Estimation, Probabilistic
Updating beliefs                 → Bayesian, Probabilistic
Exploring edge cases             → Thought Experiment, Inversion
Finding logical flaws            → Inversion, Steel-manning
Complex causation                → Systems Thinking, Feedback Loops
Philosophical questions          → Thought Experiment, First Principles

Default for abstract: Start with Steel-manning (argue the strongest opposing view first).


⚠️ Risk & Safety

PROBLEM                          → MODEL(S)
─────────────────────────────────────────────────────
What could go wrong?             → Pre-mortem, Red Team
Security review                  → Red Team, Inversion
Disaster preparation             → Pre-mortem, Margin of Safety
Avoiding catastrophic failure    → Margin of Safety, Via Negativa
Stress-testing plans             → Red Team, Pre-mortem
Probability of failure           → Probabilistic, Bayesian
Building resilience              → Via Negativa, Margin of Safety

Default for risk: Start with Pre-mortem (assume failure, explain why).


💡 Innovation & Creativity

PROBLEM                          → MODEL(S)
─────────────────────────────────────────────────────
Breakthrough needed              → First Principles, TRIZ
Stuck on contradictions          → TRIZ
Limited resources                → Effectuation, Via Negativa
Simplification                   → Via Negativa, Occam's Razor
Challenging "impossible"         → First Principles, TRIZ
New market creation              → Effectuation, Jobs to be Done
Removing complexity              → Via Negativa, Occam's Razor

Default for innovation: Start with First Principles (strip to fundamentals, rebuild).


Quick Reference Card

┌─────────────────────────────────────────────────────────────────┐
│                    MENTAL MODEL QUICK ROUTER                     │
├─────────────────────────────────────────────────────────────────┤
│                                                                  │
│  "Why is this broken?"        → 5 Whys Plus, Scientific Method  │
│  "How does this system work?" → Systems Thinking, Feedback Loops│
│  "What should we build?"      → Jobs to be Done                 │
│  "Should I do this?"          → Reversibility, Regret Min       │
│  "What could go wrong?"       → Pre-mortem, Red Team            │
│  "How do I innovate?"         → First Principles, TRIZ          │
│  "What's the probability?"    → Bayesian, Probabilistic         │
│  "Where's the bottleneck?"    → Theory of Constraints           │
│  "What am I giving up?"       → Opportunity Cost                │
│  "Is this argument valid?"    → Steel-manning                   │
│  "Will this technology last?" → Lindy Effect                    │
│  "How complex is this?"       → Cynefin                         │
│  "What to remove?"            → Via Negativa                    │
│  "Is this safe enough?"       → Margin of Safety                │
│                                                                  │
└─────────────────────────────────────────────────────────────────┘

Decision Flow

START HERE
    │
    ▼
┌─────────────────────┐
│ What's your domain? │
└──────────┬──────────┘
           │
     ┌─────┴─────┬──────────┬──────────┬──────────┐
     ▼           ▼          ▼          ▼          ▼
  Coding    Architecture  Product   Strategy   Personal
     │           │          │          │          │
     ▼           ▼          ▼          ▼          ▼
┌─────────────────────┐
│ What problem type?  │
│ Diagnose/Decide/    │
│ Understand/Create/  │
│ Evaluate/Predict    │
└──────────┬──────────┘
           │
           ▼
┌─────────────────────┐
│ Look up in domain   │
│ table above         │
└──────────┬──────────┘
           │
           ▼
┌─────────────────────┐
│ Single model enough?│
└──────────┬──────────┘
           │
    ┌──────┴──────┐
    ▼             ▼
   YES           NO
    │             │
    ▼             ▼
 Apply it    Use Model Combination
             (Sequential/Parallel/Nested)

Model Inventory by Category

Diagnostic Models (Find root cause)

  • 5 Whys Plus - Iterative "why" with bias guards
  • Scientific Method - Hypothesis → Test → Learn
  • Kepner-Tregoe - Systematic problem/decision analysis

Decision Models (Choose wisely)

  • Reversibility - Type 1 vs Type 2 decisions
  • Regret Minimization - What will future-you think?
  • Opportunity Cost - What are you giving up?
  • Bayesian - Update beliefs with evidence
  • Probabilistic - Calibrated probability estimates

Systems Models (Understand interconnections)

  • Systems Thinking - Feedback, emergence, non-linearity
  • Feedback Loops - Reinforcing and balancing loops
  • Theory of Constraints - Find and exploit the bottleneck
  • Leverage Points - Where small changes have big effects
  • Archetypes - Recurring system patterns

Risk Models (Prepare for failure)

  • Pre-mortem - Assume failure, explain why
  • Red Team - Attack your own plan
  • Margin of Safety - Build in buffers
  • Inversion - Identify paths to failure, avoid them

Innovation Models (Create breakthroughs)

  • First Principles - Strip to fundamentals, rebuild
  • TRIZ - Resolve technical contradictions
  • Effectuation - Start with means, not goals
  • Via Negativa - Improve by removing

Evaluation Models (Judge quality)

  • Steel-manning - Argue strongest opposing view
  • Lindy Effect - Older = likely to last longer
  • Circle of Competence - Know your expertise boundaries
  • Occam's Razor - Prefer simpler explanations

Context Models (Match approach to situation)

  • Cynefin - Clear/Complicated/Complex/Chaotic domains
  • Model Selection - Choose the right model
  • Model Combination - Use multiple models together

Product Models (Build the right thing)

  • Jobs to be Done - What job is user hiring this for?
  • Thought Experiment - Structured imagination

Estimation Models (Size unknowns)

  • Fermi Estimation - Order-of-magnitude calculations

When to Combine Models

Use Model Combination when:

SituationCombination PatternExample
High-stakes decisionSequentialReversibility → Pre-mortem → Opportunity Cost
System diagnosisNestedCynefin (macro) → ToC (meso) → OODA (micro)
Validating strategyParallelRed Team + Steel-manning + Second-Order
Innovation under constraintsSequentialFirst Principles → TRIZ → Effectuation
Career decisionTemporal5 Whys (past) → Circle of Competence (present) → Regret Min (future)

Template

# Model Router Analysis

## Context
Domain: [Coding/Architecture/Product/Strategy/Personal/Abstract/Risk/Innovation]
Problem: [Brief description]
Problem Type: [Diagnose/Decide/Understand/Create/Evaluate/Predict/Optimize]

## Routed Models
Primary: [Main model to use]
Secondary: [If needed]
Combination pattern: [Sequential/Parallel/Nested/None]

## Application
[Apply the selected model(s) here]

## Verification
- [ ] Domain correctly identified
- [ ] Problem type matches
- [ ] Model fits the situation
- [ ] Considered if combination needed

Key Questions

  • "What domain am I operating in?"
  • "What type of problem is this—diagnose, decide, understand, create, or evaluate?"
  • "What's the default model for this domain + type?"
  • "Does one model cover it, or do I need to combine?"
  • "Am I using a model because it fits, or because it's familiar?"

Remember: You don't need to know all 38 models. You need to know how to find the right one. Start with domain, identify problem type, look it up, apply. That's it.

平台分布

Codex

38%
按下载量换算78

Claude

29.42%
按下载量换算60

Cursor

18.53%
按下载量换算38

Gemini CLI

9.39%
按下载量换算19

安全审计

Gen Agent Trust Hub

通过

Socket

未通过

Snyk

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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