zhang-xue-feng

Guide education and career planning with mental models and decision heuristics.

33|11|Updated Apr 6, 2026
One-click install
npx skills add https://github.com/OpenDemon/zhang-xue-feng-skill --skill zhang-xue-feng
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: zhang-xue-feng
Source: https://github.com/OpenDemon/zhang-xue-feng-skill/tree/main
Command: npx skills add https://github.com/OpenDemon/zhang-xue-feng-skill --skill zhang-xue-feng

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Helps ordinary people make clearer, more “survival-first” decisions about education, careers, and考研 by using practical mental models and breaking information asymmetry.

Core Features & Use Cases

  • Core decision framework: Provides mental models and decision heuristics focused on “value for money,” “information gap reduction,” and “realistic survival rules.”
  • Persona-driven guidance: Delivers advice in a direct, sharp, and down-to-earth voice that fits common family and student concerns (major selection, exam path, job choice).
  • Scenario-based Q&A style: Turns user questions into structured thinking prompts and actionable guidance grounded in the framework.

Use case: A普通二本学生 wants to choose a major for考研 but struggles between “hot” majors and personal interest; the skill guides them to evaluate employment outcomes and “can you eat” attributes, then refine the exam path with a “冲、稳、保” gradient.

Quick Start

Ask: "I’m planning for postgraduate entrance exams. Help me choose a major and an exam strategy based on my situation, focusing on employment outcomes, information gaps to investigate, and a practical survival-first plan."

Frequently Asked Questions about zhang-xue-feng

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

FAQPage Schema
How do I choose a postgraduate entrance exam major when struggling between hot fields and personal interests?

Choose a postgraduate major by evaluating employment outcomes and whether the field realistically supports survival. Apply decision heuristics focused on value for money and reducing information asymmetry to guide your major selection, prioritizing practical job prospects over pure interest.

What is the "冲稳保" gradient strategy for postgraduate entrance exam planning?

The "冲稳保" strategy is a decision heuristic for postgraduate exam planning that creates a tiered application list. It balances risk by mixing ambitious reaches, stable matches, and safe backups, ensuring a realistic survival-first path under information asymmetry for ordinary students.

How do I make career planning decisions when facing severe information asymmetry?

Make career planning decisions by applying mental models that reduce information gaps and prioritize realistic survival. Focus on practical risk awareness and investigate employment outcomes to counter information asymmetry, ensuring your career choices follow a value-for-money framework.

Can I use this decision framework for major selection if I am an ordinary student from a normal university?

Yes, the decision framework explicitly targets ordinary people and common family concerns. It provides scenario-based reasoning for major selection, ensuring students from normal universities can evaluate fields based on practical employment outcomes and realistic survival rules.

What are the best mental models for evaluating whether a major can lead to actual employment?

Effective mental models for evaluating employment focus on the "can you eat" attribute, assessing whether a major provides sustainable survival outcomes. Use decision heuristics to investigate information gaps, measure actual employment rates, and apply realistic risk awareness to your selection.

When should I not use a pure interest-based approach for career planning?

You should avoid a pure interest-based approach when facing information asymmetry and limited family resources. In these contexts, career planning requires practical risk awareness and decision heuristics that prioritize realistic survival and employment outcomes over unverified passions.