Implement a six-step framework for data-driven Gaokao major selection.
npx skills add https://github.com/SPA3K/Xue-Feng-Skill --skill xue-feng-major-selection
Please help me install this Agent Skill. Skill: xue-feng-major-selection Source: https://github.com/SPA3K/Xue-Feng-Skill/tree/main Command: npx skills add https://github.com/SPA3K/Xue-Feng-Skill --skill xue-feng-major-selection
This Skill provides a data-driven decision framework to help students identify and resolve the challenge of selecting a suitable Gaokao major.
Directly input SKILL.md as prompts into your AI tool to activate the framework and receive tailored major suggestions.
High-intent search queries and answers about installing and using this skill.
Choosing a Gaokao major involves a structured decision framework that processes student scores, location, and resources through a six-step workflow to deliver auditable, stepwise major recommendations.
The exclusion method for selecting university majors is a step within a six-step decision framework that eliminates unsuitable options by matching student-specific inputs against career aspirations and professional outlooks to mitigate reality misalignment.
Yes, you can personalize university major recommendations by inputting your scores, provincial context, family resources, and career aspirations to tailor options and resolve misalignment with reality through a data-driven workflow.
Data verification for professional outlooks works by applying explicit verification steps within the framework to ensure that career prospects and recommendations are validated with evidence before delivering actionable major choices.
The limitation of using a prompt-driven workflow for Gaokao major selection is that it requires deterministic inputs and accurate student-specific data to function properly, as the framework depends on explicit information collection to generate repeatable results.
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