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first-principles-decomposer第一原理分解器

Agent Skill

first-principles-decomposer 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。

总安装

1,812

周安装

74

GitHub Stars

3

下载量

580
CodexClaudeCursorGemini CLI

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:first-principles-decomposer(第一原理分解器)
来源仓库:https://github.com/hanzoskill/first-principles-decomposer
仓库路径:skills/first-principles-decomposer
安装命令:
npx skills add https://github.com/hanzoskill/first-principles-decomposer --skill first-principles-decomposer
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/hanzoskill/first-principles-decomposer --skill first-principles-decomposer

简介

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于需要根据关键词或任务场景进行信息检索和筛选的场景。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装使用。
  • 建议确认权限范围和维护状态,注意是否涉及联网或文件操作。
  • first-principles-decomposer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

First Principles Decomposer

When To Use

  • Designing new products or features
  • Feeling stuck on a complex problem
  • Existing solutions seem overcomplicated
  • Need to challenge assumptions
  • Starting any new project or initiative

The Process

Phase 1: Identify Assumptions

Ask: "What am I assuming to be true that might not be?" List every assumption embedded in the current approach.

Phase 2: Break to Atoms

For each assumption, ask: "What is the most fundamental truth here?" Keep asking "why?" until you hit bedrock facts.

Phase 3: Rebuild From Truth

Starting ONLY from verified fundamentals, ask: "What's the simplest solution that addresses the core need?"

Interactive Flow

When user invokes this skill:

  1. Clarify the problem (1-2 questions max)
  2. Surface assumptions - list what's being taken for granted
  3. Decompose to fundamentals - show the atomic truths
  4. Rebuild solution - construct from ground up
  5. Compare - show how this differs from conventional approach

Output Format

PROBLEM: [stated problem]

ASSUMPTIONS IDENTIFIED:
1. [assumption] → Challenge: [why this might be wrong]
2. [assumption] → Challenge: [why this might be wrong]

FUNDAMENTAL TRUTHS:
• [bedrock fact 1]
• [bedrock fact 2]
• [bedrock fact 3]

REBUILT SOLUTION:
[New approach built only from fundamentals]

VS CONVENTIONAL:
[How this differs from the obvious approach]

Example Triggers

  • "Break down our parent communication problem from first principles"
  • "I want to rethink how we do [X] from the ground up"
  • "What are we assuming about [problem] that might be wrong?"

Integration

This skill compounds with:

  • inversion-strategist - After rebuilding from fundamentals, invert to find what would guarantee failure of the new approach
  • second-order-consequences - Project downstream effects of implementing the rebuilt solution
  • pre-mortem-analyst - Stress-test the rebuilt solution by imagining its failure
  • six-thinking-hats - Apply all six perspectives to validate each fundamental truth identified

Skill Metadata

Created: 2026-01-06 Last Updated: 2026-01-06 Author: Artem Version: 1.0


See references/framework.md for detailed methodology See references/examples.md for Artem-specific examples See references/integrated-frameworks.md for Stanford Design Thinking + MIT Systems Engineering combo

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

36.92%
按下载量换算214

Claude

27.51%
按下载量换算160

Cursor

18.59%
按下载量换算108

Gemini CLI

9.26%
按下载量换算54

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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