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alchaincyf/zhangxuefeng-skill

Career planning cognitive model repository

A conversational partner that grounds career decisions in realistic data

When choosing a university major or facing career uncertainty, this tool offers cold, realistic analysis rather than simple comfort. It is a skill that transplants the thinking style of famous education consultant Zhang Xuefeng into an AI agent. From the perspective that 'society is a large body,' it provides a framework for reverse-engineering current choices based on median post-graduation employment data.

A dialogue method that replicates the individual's logical structure

This skill operates not as a simple collection of quotes, but based on five core psychological models and eight decision-making heuristics. When a user provides specific conditions such as '560 points, Henan province, Finance major,' the AI structures its response based on 'family background,' 'median employment status,' and 'irreplaceability.' For example, if you want to study finance, it first prompts you to check where the 50% of graduates go, rather than the top 1%. It also applies a '10-year pressure test' to distinguish which technologies are being replaced and which capabilities remain valuable in the AI era. This process helps users face structural reality rather than emotional preferences.

Installation and execution environment

This tool follows the Agent Skills protocol and runs on over 50 AI runtimes, including Claude Code, Cursor, and Codex. The easiest way is to run the npx skills add alchaincyf/zhangxuefeng-skill command in the terminal. This command automatically detects the current runtime and places the skill file in the correct location. If you need to specify a particular runtime, you can add an argument like -a claude-code. For manual installation, simply copy the SKILL.md file to the skill directory of the relevant runtime. Once installed, you only need to request, 'Analyze this major from Zhang Xuefeng's perspective.'

Data-based reliability and limitations

The answers from this skill are extracted from an analysis of five books, over 15 in-depth interviews, over 30 primary source statements, and 11 major decision-making records. The references/research/ directory contains six research files, including works, conversations, expression DNA, external criticism, decision-making analysis, and life timeline, allowing you to verify the basis. However, because this tool reflects the cognitive biases and values of a specific individual, it does not reflect objective statistical data or the latest policy changes in real time. Therefore, it is recommended to check official employment statistics or university information additionally before making a final decision. It is released under the MIT license, allowing free modification and use.

Written by AI from this repository's README on October 7, 2026. For the facts, the original on GitHub is the reference.

By the numbers

GitHub trending history
1 day between Jun 19, when Trend began recording, and Nov 8, 2026 · first on Jun 26 · best daily rank #8 (Jun 26)

Read from GitHub, as of November 5, 2026. None were read on November 8, 2026.

Stars
10,712
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Commits
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Last commit
October 13, 2026
Open issues
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Open pull requests
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