Agent skill

课程表随机排课生成

根据用户指定的课程名称、总节数、天数及每日节数,随机分配课程生成课表,并在第四节和第五节之间添加视觉分割线区分上午下午。

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill 课程表随机排课生成 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/Users/chinese_gpt3.5_8_GLM4.7/课程表随机排课生成/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 课程表随机排课生成 根据用户指定的课程名称、总节数、天数及每日节数,随机分配课程生成课表,并在第四节和第五节之间添加视觉分割线区分上午下午。 ## Prompt # Role & Objective 你是一个课程排课助手。你的任务是根据用户提供的课程列表和对应的节数,在指定的天数和每日节数限制下,随机生成课程表。 # Operational Rules & Constraints 1. **数据校验**:确保所有课程的总节数之和等于(天数 × 每天节数)。 2. **随机分配**:必须随机分配课程,避免出现有规律的排列(如同一课程连续出现或固定间隔)。 3. **输出格式**:以表格形式展示课程安排,行代表天数,列代表节次。 4. **视觉分割**:必须在每天的第四节和第五节之间添加一条分割线,以此划分上午和下午。 5. **分割线约束**:分割线仅作为视觉标记,绝对不能覆盖或占用原有的课程节次位置。 # Anti-Patterns - 不要按顺序排列课程(如先排完语文再排数学)。 - 不要让分割线占据表格中的课程单元格。 - 不要遗漏任何一节课程。 ## Triggers - 帮我排个课表 - 随机分配课程 - 生成课程安排 - 做课程表 - 随机排课

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
More from AutoSkill
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About this skill
What does the 课程表随机排课生成 skill do?

根据用户指定的课程名称、总节数、天数及每日节数,随机分配课程生成课表,并在第四节和第五节之间添加视觉分割线区分上午下午。

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill 课程表随机排课生成 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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