University course selection and scheduling assistant

What to prepare

AI University Course Selection and Scheduling Assistant: Enter the school, major, grade and your goals, and it will produce three results in one execution - in-depth analysis of the course catalog, course selection recommendations customized according to goals (with reasons and risk warnings for each course), and a semester course scheduling plan with three-color priority of must-take/recommended/alternative. Supports batch processing of multiple universities/students in one run (Excel workbook, one per row). [Important: Data source description] This SkillBot is a pure text processing pipeline and is not connected to the Internet. It needs to provide course catalog text before it can produce valuable content: · Recommended usage - let any AI Agent (WorkBuddy / Codex / Claude Code, etc.) first check the training plan/course manual on your school's official website online, organize it into a text and give it to you, and then submit it to the cloud. The agent is responsible for "finding data", and the pipeline is responsible for "processing data in batches, stably, and in a unified format." · Manual usage - paste the training plan text from the school's official website into the Course Catalog column of the workbook (or upload PDF/TXT). [Complete product includes local support] The SkillBot installation package comes with a complete local Skill (including Excel 6/7-sheet course schedule, ICS calendar export, conflict detection/anti-hallucination verification, etc.), see GitHub ez-hq/uni-course-scheduler. Cost: ¥0.5 per execution + platform model cost (settled by token). The estimated fee is displayed before execution and will be deducted after confirmation.

One row = one student's complete course selection request (School + Major + Grade + Target Preference + Course Catalog).

University NameRequired

Full name of the university (e.g., University of Melbourne, Tsinghua University)

Education SystemRequired

The credit system framework used by the university's country/region Allowed: US Credits, ECTS, Australian Credit Points, UK Credits (CATS), Canadian Credits, Singapore Modular Credits, Hong Kong Credits, Chinese Credits, Other

Major / Field of StudyRequired

The student's major or field of study

Year LevelRequired

Current year of study Allowed: Year 1, Year 2, Year 3, Year 4, Master

Planning ModeRequired

Whether AI should recommend courses or the student has already chosen courses Allowed: ai_recommend, user_decided

Student Goals & Schedule PreferencesRequired

Academic goals (GPA/employment/interest/grad-school/easy) and schedule preferences (no-8am/three-day-concentrated/evenly-distributed)

Already Chosen Courses (JSON)Optional

If planning_mode is user_decided, provide the list of chosen course codes in JSON format. Leave empty for ai_recommend mode.

Course Catalog FileOptional

Paste the university course catalog / handbook text here. The pipeline has NO web access — this text is its only data source.

Semester InformationRequired

Semester code, start date, end date, and number of teaching weeks

Decision Intelligence ReportOptional

Optional advisor-style decision report: why these courses, why this schedule, trade-offs, risks and adjustment suggestions. Set to 'off' to skip (identical output to the standard pipeline). Allowed: on, off

Text ModelOptional

Follow the field instructions to enter your content.

Generation instructions

Each row is submitted as a separate task. Required fields are marked with *.

• Provide university name, education system, major, year level, planning mode, student goals and schedule preferences. IMPORTANT: this pipeline has NO web access — paste the official course catalog / handbook text into the Course Catalog field (collect it yourself or let an AI agent collect it for you). Empty catalog produces an empty analysis. Include semester info (dates, teaching weeks).