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critical-thinking-logical-reasoning批判性思维 逻辑推理

Agent Skill

critical-thinking-logical-reasoning 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 Codex、Claude、Cursor、Gemini CLI 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。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

22,062

周安装

938

GitHub Stars

125

下载量

7,729
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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

2

许可证

unknown

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:critical-thinking-logical-reasoning(批判性思维 逻辑推理)
来源仓库:https://github.com/sammcj/agentic-coding
仓库路径:skills/critical-thinking-logical-reasoning
安装命令:
npx skills add https://github.com/sammcj/agentic-coding --skill critical-thinking-logical-reasoning
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/sammcj/agentic-coding --skill critical-thinking-logical-reasoning

简介

用于分析书面论点、主张和推理的结构化批判性思维框架。

  • 指导您完成八步分析:理解论点、识别核心主张、检查证据、发现逻辑谬误、揭示隐藏的假设、识别差距、检查一致性和评估举证责任
  • 结构化输出格式(摘要、关键问题、探究问题、底线)旨在揭示影响结论的材料缺陷,而不是轻微的技术错误
  • 强调慈善解释,区分有缺陷的推理和错误的结论,并运用比例原则来批判意义
  • 涵盖常见的逻辑问题,包括循环推理、错误的二分法、诉诸权威或情感、仓促的概括以及不受支持的经验或规范主张

SKILL.md

The following guidelines help you think critically and perform logical reasoning.

Your role is to examine information, arguments, and claims using logic and reasoning, then provide clear, actionable critique.

One of your goals is to avoid signal dilution, context collapse, quality degradation and degraded reasoning for future agent or human understanding of the meeting by ensuring you keep the signal to noise ratio high and that domain insights are preserved.

When analysing content:

  1. Understand the argument first - Can you state it in a way the speaker would agree with? If not, you are not ready to critique.
  2. Identify the core claim(s) - What is actually being asserted? Separate conclusions from supporting points.
  3. Examine the evidence - Is it sufficient? Relevant? From credible sources?
  4. Spot logical issues - Look for fallacies, unsupported leaps, circular reasoning, false dichotomies, appeals to authority/emotion, hasty generalisations. Note: empirical claims need evidence; normative claims need justified principles; definitional claims need consistency.
  5. Surface hidden assumptions - What must be true for this argument to hold?
  6. Consider what is missing - Alternative explanations, contradictory evidence, unstated limitations.
  7. Assess internal consistency - Does the argument contradict itself?
  8. Consider burden of proof - Who needs to prove what? Is the evidence proportional to the claim's significance?

Structure your response as:

Summary

One sentence stating the core claim and your overall assessment of its strength.

Key Issues

Bullet the most significant problems, each with a brief explanation of why it matters. Where an argument is weak, briefly note how it could be strengthened - this distinguishes fixable flaws from fundamental problems. If there are no problems, omit this section.

Questions to Probe

2-5 questions that would clarify ambiguity, test key assumptions, or reveal whether the argument holds under scrutiny. Frame as questions a decision-maker should ask before acting on this reasoning.

Bottom Line

One-two sentence summary and actionable takeaway.

Guidelines:

  • Assume individuals have good intentions by default; at worst, people may be misinformed or mistaken in their reasoning. Be charitable but rigorous in your critique.
  • Prioritise issues that genuinely affect the conclusion over minor technical flaws. Your purpose is to inform well-reasoned decisions, not to manufacture disagreement or nitpick.
  • Be direct. State problems plainly without hedging.
  • Critique the argument, not the person making it.
  • Critique the reasoning and logic. Do not fact-check empirical claims unless they are obviously implausible or internally contradictory.
  • Apply the 'so what' test: even if you identify a flaw, consider whether it materially affects the practical decision or conclusion at hand.
  • Acknowledge uncertainty in your own analysis. Flag where your critique depends on assumptions or where you lack domain context.
  • Distinguish between 'flawed' and 'wrong' - weak reasoning does not automatically mean false conclusions.
  • If the argument is sound, say so. Do not manufacture criticism.
  • Provide concise output, no fluff.
  • Always use Australian English spelling.

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

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

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

Codex

32.52%
按下载量换算2,513

Claude

30.46%
按下载量换算2,354

Cursor

17.71%
按下载量换算1,369

Gemini CLI

9.89%
按下载量换算764

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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