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mental-models心理模型

Agent Skill

mental-models 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

总安装

1,527

周安装

63

GitHub Stars

2

下载量

499
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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:mental-models(心理模型)
来源仓库:https://github.com/abdullahbeam/nexus-design-abdullah
仓库路径:skills/mental-models
安装命令:
npx skills add https://github.com/abdullahbeam/nexus-design-abdullah --skill mental-models
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/abdullahbeam/nexus-design-abdullah --skill mental-models

简介

mental-models 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合围绕仓库状态进行整理。

  • 适用于心理模型分析、协作事项管理和仓库状态评估等待分类任务。
  • 通过 GitHub 仓库安装,使用 npx skills add 命令添加,需结合原始 README 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操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Mental Models

Apply structured thinking frameworks to decisions, problems, and planning.

When This Triggers

  • "Help me think through X"
  • "What mental model should I use?"
  • "Apply first principles to this"
  • "Do a pre-mortem on this plan"
  • "I need to analyze this decision"
  • Any specific model name (SWOT, 5 Whys, etc.)

Workflow

Step 1: Run Mental Models Scanner

Run the script to get all available models:

python 00-system/mental-models/scripts/select_mental_models.py --format brief

This returns JSON with all 59 models across 12 categories.

Optional filters:

# Filter by category
python 00-system/mental-models/scripts/select_mental_models.py --category cognitive --format brief

# List format (names only, grouped by category)
python 00-system/mental-models/scripts/select_mental_models.py --format list

Step 2: Identify Context and Offer Options

Based on user's situation, offer 2-3 relevant models:

For decisions: Decision Matrix, Pre-Mortem, Cost-Benefit, Inversion For problems: First Principles, Root Cause (5 Whys), Fishbone For planning: Scenario Planning, Stakeholder Mapping, OKR For creativity: Design Thinking, SCAMPER, Lateral Thinking For risk: Pre-Mortem, Force Field, Red Team, Black Swan For communication: Pyramid Principle, BLUF, Steel Manning For learning: Feynman Technique, Deliberate Practice

Present options with brief descriptions (3-7 words each).


Step 3: Load Specific Model File

After user selects, load the individual model file:

File structure: 00-system/mental-models/models/{category}/{model-slug}.md

CategoryPath
Cognitivemodels/cognitive/first-principles.md, inversion.md, etc.
Collaborativemodels/collaborative/six-thinking-hats.md, mece.md, etc.
Diagnosticmodels/diagnostic/pre-mortem.md, five-whys.md, etc.
Strategicmodels/strategic/scenario-planning.md, ooda-loop.md, etc.
Analyticalmodels/analytical/decision-matrix.md, swot-analysis.md, etc.
Creativemodels/creative/design-thinking.md, scamper.md, etc.
Operationalmodels/operational/kanban-thinking.md, okr-framework.md, etc.
Validationmodels/validation/hypothesis-testing.md, red-team-analysis.md, etc.
Time & Resourcemodels/time-resource/eisenhower-matrix.md, opportunity-cost.md, etc.
Communicationmodels/communication/pyramid-principle.md, bluf.md, etc.
Learningmodels/learning/feynman-technique.md, deliberate-practice.md, etc.
Probability & Riskmodels/probability-risk/expected-value.md, black-swan-awareness.md, etc.

Example:

User picks: "First Principles + Pre-Mortem"

AI loads:
→ Read: 00-system/mental-models/models/cognitive/first-principles.md
→ Read: 00-system/mental-models/models/diagnostic/pre-mortem.md

Step 4: Apply Model Questions

Use the question templates from the loaded model file to guide the user through structured thinking.

Each model file contains:

  • Purpose: What the model does
  • When to Use: Best situations for this model
  • Questions to Ask: Ready-to-use prompts
  • Process: Step-by-step application
  • Output: What you get from using it

Keep it collaborative - this is a conversation, not an interrogation.


Quick Reference

12 Categories (59 Models):

  1. Cognitive - First Principles, Systems Thinking, Lateral Thinking, Inversion, Second-Order Thinking, Analogous Reasoning
  2. Collaborative - Six Hats, MECE, Stakeholder Mapping, Devil's Advocate
  3. Diagnostic - 5 Whys, Fishbone, Pre-Mortem, Force Field, Fault Tree
  4. Strategic - Scenario Planning, OODA, Jobs to Be Done, Blue Ocean, PESTLE, Porter's Five Forces
  5. Analytical - Decision Matrix, SWOT, Cost-Benefit, Pareto, Assumption Testing, Sensitivity Analysis
  6. Creative - Design Thinking, SCAMPER, Morphological, Random Entry, Constraint Removal
  7. Operational - Kanban, Value Stream, OKR, Lean Canvas, Theory of Constraints
  8. Validation - Hypothesis Testing, Prototyping, Red Team, A/B Testing
  9. Time & Resource - Eisenhower Matrix, Time Boxing, Opportunity Cost, Sunk Cost, Resource Mapping
  10. Communication - Pyramid Principle, BLUF, Situation-Complication-Resolution, Steel Manning
  11. Learning - Feynman Technique, Spaced Repetition, Deliberate Practice, T-Shaped Skills
  12. Probability & Risk - Expected Value, Margin of Safety, Black Swan, Bayesian Updating, Regret Minimization

Notes

  • Always offer choice, never prescribe
  • Run script first to see all available models
  • Load individual model files only after user selects
  • Combine models when appropriate (e.g., First Principles + Pre-Mortem)
  • Adapt formality to user's context

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

28.91%
按下载量换算144

Antigravity

20.31%
按下载量换算101

windsurf

16.33%
按下载量换算81

Codex

12.23%
按下载量换算61

OpenCode

7.29%
按下载量换算36

Cursor

3.56%
按下载量换算18

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。

来源信息

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