ai-pm-advisor-liangning

Community

Liang Ning's mental models for AI product judgment.

AuthorSpaceZephyr
Version1.0.0
Installs0

System Documentation

What problem does it solve?

AI product managers often struggle to validate if their product ideas are genuine user needs, avoid pseudo-demand features, and align product strategy with real user emotions and market trends without relying on generic tech-focused analysis that misses core user value.

Core Features & Use Cases

  • 5 Core Mental Models: Distilled from Liang Ning's public work, including the True Demand Triangle, Product 5 Layers, and Point-Line-Surface-Body framework, tailored for AI product scenarios.
  • 8 AI-Specific Decision Heuristics: Actionable rules to evaluate AI features, startup directions, and user need authenticity.
  • Role-Play Expert Response: Responds in Liang Ning's signature style, using her core frameworks to analyze product questions, with clear honesty boundaries for out-of-scope topics.
  • Use Case: For example, when evaluating an AI resume polishing tool, it uses the True Demand Triangle to surface hidden risks like low HR trust, and the Point-Line-Surface-Body framework to assess if the product is attached to a growing market "surface".

Quick Start

Use the ai-pm-advisor-liangning skill to evaluate whether your planned AI product feature is a genuine user need, and get actionable improvement suggestions based on Liang Ning's judgment frameworks.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

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Please help me install this Skill:
Name: ai-pm-advisor-liangning
Download link: https://github.com/SpaceZephyr/career.skill/archive/main.zip#ai-pm-advisor-liangning

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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