菜单
Chain analogies to deeper levels (3-5 layers). Each layer reveals new aspects and insights not visible at the surface.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill analogy-chain命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
正在显示 SKILL.md
| name | analogy-chain |
| description | Chain analogies to deeper levels (3-5 layers). Each layer reveals new aspects and insights not visible at the surface. |
| execution | subagent |
| prompt | ./prompt.md |
| input | initial_analogy (string) |
| dependencies | {"sops":["spawn-agent"]} |
Chain analogies to deeper levels (3-5 layers).
Subagent — spawned via subagent-spawning/spawn-agent skill.
Analogy chaining requires sustained deepening of a single thread without distraction. Each layer builds on the previous, requiring unbroken focus on progressive abstraction and re-concretization.
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent. |
