Gaokao Application Analysis & School Recommendations

Problem

The hard part of Gaokao application planning is not simply choosing schools, but aligning score, provincial rank, region, major preference, and school admission scope. Annual score volatility makes raw scores misleading, while searching only by school names can miss related majors, special admission groups, and cross-disciplinary options. This skill turns the process into a reviewable data-analysis workflow: it treats provincial rank as the main coordinate, searches the current provincial cutoffs, score-rank tables, and prior-year major admission data, then produces a structured plan.

How It Works and Boundaries

Key steps include:
- Parameter collection: extract or ask for province, subject track, score, provincial rank, region constraints, and major preferences.
- Data retrieval: search provincial cutoffs and one-point-one-segment tables; if the table is not yet published, estimate rank from known score points.
- Tiering: build reach, target, and safety layers using rank differences.
- Major expansion: expand broad categories such as AI, clinical medicine, or business into related majors instead of matching only exact names.
- Delivery: generate a Markdown report and an HTML page, with files named by province, score, and major.

Boundaries: it depends on publicly searchable cutoffs and historical admission data, and cannot replace official examination-authority documents. Special programs such as Sino-foreign cooperation, local special quotas, or minority classes need manual verification. If data is missing, it may only provide an estimated range and cannot guarantee admission outcomes.