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SkillBot Market大学选课排课助手

Published by user_tuabxc

大学选课排课助手

AI 大学选课排课助手:输入学校、专业、年级和你的目标,一次执行产出三份结果——课程目录深度分析、按目标定制的选课推荐(每门附理由与风险提示)、带必抢/推荐/备选三色优先级的学期排课方案。支持一次运行批量处理多所大学/多名学生(Excel 工作簿,一行一个)。 【重要:数据来源说明】本 SkillBot 是纯文本处理管道,本身不联网,需要先提供课程目录文本才能产出有价值内容: · 推荐用法——让任何 AI Agent(WorkBuddy / Codex / Claude Code 等)先联网查好你学校官网的培养方案/课程手册,整理成文本交给你,再提交云端。Agent 负责「找数据」,管道负责「批量、稳定、格式统一地处理数据」。 · 手动用法——自己把学校官网培养方案文本粘贴到工作簿的 Course Catalog 列(或上传 PDF/TXT)。 【完整产品含本地配套】本 SkillBot 的安装包自带完整本地 Skill(含 Excel 6/7-sheet 课表、ICS 日历导出、冲突检测/反幻觉校验等),见 GitHub ez-hq/uni-course-scheduler。 费用:每次执行 ¥0.5 + 平台模型成本(按 token 实结)。执行前显示预计费用,确认后才扣费。

Updated Sep 4, 2026Version v12Output type text
Approved

Value

Decide whether this SkillBot fits your task

Best-fit scenarios

面向大学本科生和研究生的选课与排课规划,支持国际学分体系,包含 ICS 日历导出与毕业审计。

Inputs and final outputs

Input
What you provide

一行 = 一名学生的完整选课请求(学校 + 专业 + 年级 + 目标偏好 + 课程目录)。

Input fieldTypeRequirementDescription
University NameTextRequiredFull name of the university (e.g., University of Melbourne, Tsinghua University)
Education SystemTextRequiredThe 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 StudyTextRequiredThe student's major or field of study
Year LevelTextRequiredCurrent year of study Allowed: Year 1, Year 2, Year 3, Year 4, Master
Planning ModeTextRequiredWhether AI should recommend courses or the student has already chosen courses Allowed: ai_recommend, user_decided
Student Goals & Schedule PreferencesTextRequiredAcademic goals (GPA/employment/interest/grad-school/easy) and schedule preferences (no-8am/three-day-concentrated/evenly-distributed)
Already Chosen Courses (JSON)TextOptionalIf planning_mode is user_decided, provide the list of chosen course codes in JSON format. Leave empty for ai_recommend mode.
Course Catalog FileTextOptionalPaste the university course catalog / handbook text here. The pipeline has NO web access — this text is its only data source.
Semester InformationTextRequiredSemester code, start date, end date, and number of teaching weeks
Decision Intelligence ReportTextOptionalOptional 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 ModelTextOptional
Output
What you receive

The following artifacts and their task status.

texttext

Instructions

  1. 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).

Examples

Already Chosen Courses (JSON)
['BIO201', 'CHEM210', 'MATH202', 'PHYS201']
Education System
Australian Credit Points
Major / Field of Study
Computer Science
Planning Mode
ai_recommend
Semester Information
2026-S1, starts 2026-02-24, ends 2026-06-05, 12 teaching weeks
Student Goals & Schedule Preferences
Goals: GPA. Preferences: no 8am, lunch break 12-1pm, evenly distributed across the week.
University Name
University of Melbourne
Year Level
Year 1
Already Chosen Courses (JSON)
['BIO201', 'CHEM210', 'MATH202', 'PHYS201']
Education System
Chinese Credits
Major / Field of Study
Biomedical Science
Planning Mode
user_decided
Semester Information
2026-Spring, starts 2026-02-17, ends 2026-06-20, 16 teaching weeks
Student Goals & Schedule Preferences
Goals: grad-school. Preferences: three-day concentrated.
University Name
Tsinghua University
Year Level
Year 2

Trust and update history

Current versionv12
Downloads8
Calls15
DateVersion
Sep 4, 2026v12
Aug 11, 2026v11
Aug 10, 2026v10
Aug 10, 2026v9
Aug 7, 2026v8
Aug 7, 2026v7
Aug 6, 2026v5
Aug 5, 2026v4
Aug 5, 2026v3
Aug 5, 2026v2
Aug 4, 2026v1
Aug 4, 2026v1