gaokao advisor

Selecting a college major and university is a high-stakes decision driven by volatile annual policies and complex data. This skill eliminates the guesswork by prioritizing real-time policy research before providing recommendations. It helps students and parents navigate the stress of post-exam deadlines by narrowing down thousands of options into a clear, data-backed strategy.

What it does

• Policy Research scans current year provincial regulations, batch adjustments, and new admission rules via web search.
• Data Retrieval fetches official score lines, rank tables, and historical admission data to anchor recommendations.
• Risk Assessment evaluates major-specific requirements like "Physics + Chemistry" pairings and physical health constraints.
• Scenario Routing adapts advice for specific profiles including art students, military aspirants, and low-score candidates.
• Tactical Planning generates a "Stretch-Stable-Safety" list based on probability estimates and rank trends.

How it works

1. Initial Collection gathers the student's province, score, rank, and subject choices.
2. Policy Enforcement searches for the latest provincial and national admission changes to set the decision constraints.
3. Multi-Skill Analysis invokes specialized sub-skills for ADI assessment, data retrieval, and report generation.
4. Final Deliverable provides a prioritized list of colleges and majors with a pre-submission checklist.

Frameworks & tools

The skill utilizes a structured config.json for annual updates and integrates with WebSearch for real-time data. It uses a modular multi-skill architecture to separate assessment logic from data retrieval.

Why this beats prompting it yourself

Standard prompts rely on static training data which is often years out of date for specific provincial policies. This skill enforces a "search-before-suggest" workflow, ensuring advice respects this year's specific admission rules and rank distributions.

Use cases

• The Undecided Student needs to narrow down 700+ majors into 3 viable career directions and urban clusters.
• Parent-Child Conflict requires a neutral mediator to compare professional prospects versus personal interest using data.
• Emergency Filling demands a rapid, high-confidence plan when the submission deadline is less than 24 hours away.
• Policy Validation checking if a specific student qualifies for New Gaokao subject requirements or special programs.

Known limitations

Requires active web search capabilities to function correctly. Cannot predict human behavior in "big/small years" of admission volatility with 100% certainty.