What problem does it solve? Gaokao students and parents struggle to translate a raw exam score into a realistic list of universities. This Skill converts score, province, and subject category into a provincial rank, then produces reach/match/safety school recommendations with estimated admission probabilities based on historical admission rank data. ## Core Features & Use Cases - Score-to-Rank Conversion: Queries the Yuanbao API for one-score-one-segment tables and provincial cutoff lines, with local JSON data as fallback. - Three-Tier Recommendations: Classifies schools into reach (5-32%), match (32-68%), and safety (68%+) tiers using a logistic sigmoid probability model, with dynamic thresholds for junior-college scenarios. - Multi-Format Reports: Outputs a brief Markdown summary to stdout plus full Markdown, HTML, and JSON reports; on the IMA platform it auto-archives reports to the user's knowledge base. - Use Case: A user asks "What schools can I get into with 540 in Hebei physics track?" and immediately receives a ranked list of universities across three tiers with per-school admission probabilities and official website links. ## Quick Start Ask the assistant what universities you can apply to by stating your gaokao score, province, and subject category, such as "Hebei physics track 540 points, what schools can I get into?"
