正见 Skill(Right View)

SkillAI & models

See the problem accurately, not just explain away the symptoms — the three-layer method for viewing problems (phenomenon layer / context layer / relationship layer)

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the 正见 Skill(Right View) skill

What this skill tells your AI

The instructions your AI receives, as published by gmaxxxie/ai-native-product-agent-skills in skills/p12a-contemplation-right-view/SKILL.md and read by ahel’s review.

适用场景

  • 被表面现象迷惑,找不到真正的问题
  • 争论不休但问题定义模糊
  • 解决方案无效,因为问题理解错了

输入

字段说明
observed_phenomenon观察到的现象/表象
stakeholder_claims各利益相关方的说法
attempted_solutions已经尝试过的解决方案

输出

  • 三层分析报告(现象层→情境层→关系层)
  • 问题陈述(修正版本)
  • 潜在的根本原因假设

工作流程

  1. 现象层整理:客观描述"发生了什么",不带解释和归因
  2. 情境层还原:该现象发生在什么约束条件下?谁在什么位置?资源/时间/权限如何?
  3. 关系层分析:现象与哪些系统要素有关?信息流、决策权、激励机制如何影响?
  4. 问题重述:基于三层分析,重新定义核心问题

注意事项

  • 现象层不等于"事实"——所有观察都已视角过滤
  • 情境层常被忽略,但它决定了"可行解空间"
  • 关系层揭示结构性原因,是改变杠杆点所在

Signals

GitHub stars
46
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
p12a-contemplation-right-view
Source
github.com/gmaxxxie/ai-native-product-agent-skills