Gaokao Volunteer Planning Advisor

What problem it solves

Gaokao volunteer selection is not just “matching a score to schools”; it is a constrained planning problem involving province rules, subject combinations, rank, batch, major-group format, tuition, medical limits, and adjustment rules. This skill helps prepare decisions when inputs are incomplete. Users may only provide a score and major preference, while missing rank-segment table data, admission rank history, enrollment plans, or official charter details. It lists open questions first, avoids applying rules from another province, and does not promise admission.

How it works

• Input validation: captures province, year, track or selected subjects, score, statewide rank, batch, volunteer unit rules, city/major preferences, and family constraints.
• Data check: verifies score, rank, batch line, recent admission ranks, and enrollment-plan changes, then labels the data year and source.
• Gradient design: builds a draft with 10%-20% reach, 50%-60% match, 20%-30% safety, plus at least 1-2 fallback entries.
• Output structure: returns an input summary, key assumptions, reach-match-safety table, risks, open questions, and next actions.
• Risk review: prompts checks for subject requirements, medical restrictions, single-subject requirements, tuition, campus, major transfer, and adjustment rules.

Boundaries

It is useful for information organization, school-major comparison, risk identification, and draft volunteer tables. It is not a replacement for provincial exam authority systems, official enrollment charters, or family decision-making. If rank or historical data is missing, it produces a data-preparation checklist instead of probability estimates. Final decisions should always defer to the provincial exam authority, official gaokao platforms, and university enrollment rules.