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zsh812621373-spec
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zhangxuefeng-perspective

Analyze academic majors and career paths using employment data and salary medians.

Updated Jun 11, 2026
Search Tags:#education#career planning#college admissions#zhangxuefeng#major selection#employment analysis
One-click install
npx skills add https://github.com/zsh812621373-spec/11 --skill zhangxuefeng-perspective-zsh812621373-spec
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: zhangxuefeng-perspective
Source: https://github.com/zsh812621373-spec/11/tree/main
Command: npx skills add https://github.com/zsh812621373-spec/11 --skill zhangxuefeng-perspective-zsh812621373-spec

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the information asymmetry and anxiety surrounding high-stakes educational and career decisions by applying a data-driven, realistic cognitive framework to personal choices.

Core Features & Use Cases

  • Data-Driven Analysis: Evaluates majors and career paths based on employment rates, salary medians, and industry trends.
  • Strategic Decision Making: Uses proven mental models like the "Social Sieve" and "Employment Reverse-Engineering" to filter options.
  • Use Case: If you are a parent struggling to choose between a top-tier university for a "dead-end" major or a mid-tier university for a high-demand technical major, this Skill provides a clear, prioritized recommendation based on long-term career viability.

Quick Start

Use the zhangxuefeng-perspective skill to analyze whether a student with 560 points in Henan should choose a finance major or a computer science major.

Frequently Asked Questions about zhangxuefeng-perspective

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I choose between a top-tier university for a dead-end major or a mid-tier university for a high-demand major?▼

Major selection should prioritize long-term career viability. Evaluating choices using the Employment Reverse-Engineering model prioritizes high-demand technical majors at mid-tier universities over dead-end majors at top-tier institutions.

What is the Social Sieve model for career planning and college admissions?▼

The Social Sieve model is a cognitive framework for career planning that filters educational choices based on individual socioeconomic context and industry-specific demand metrics to ensure realistic employment outcomes.

How do I analyze whether to pick a finance major or a computer science major with a specific exam score?▼

Analyzing major selection requires comparing employment rates and salary medians. Applying Employment Reverse-Engineering to your exam score and regional context determines if finance or computer science offers better long-term career viability.

Can I use employment data and salary medians to evaluate academic majors for my child?▼

Yes, you can use employment data and salary medians to evaluate academic majors. This data-driven approach analyzes industry trends and applies a cognitive framework to provide strategic educational counseling for your child.

When do I need to use employment reverse-engineering for college admissions decisions?▼

You need employment reverse-engineering for college admissions when facing information asymmetry around high-stakes decisions. It evaluates career paths by analyzing industry-specific demand metrics and salary medians to guide strategic university selection.

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