mooc-course-search

MOOC 课程搜索与推荐服务。适用于找课、课程对比、按学习目标筛课、关注证书与评价等场景。关键词:MOOC、慕课、课程推荐、课程对比、证书、考研、机器学习、高等数学。

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Best use case

mooc-course-search is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

MOOC 课程搜索与推荐服务。适用于找课、课程对比、按学习目标筛课、关注证书与评价等场景。关键词:MOOC、慕课、课程推荐、课程对比、证书、考研、机器学习、高等数学。

Teams using mooc-course-search should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/mooc-course-search/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/acse-yz219/mooc-course-search/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/mooc-course-search/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How mooc-course-search Compares

Feature / Agentmooc-course-searchStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

MOOC 课程搜索与推荐服务。适用于找课、课程对比、按学习目标筛课、关注证书与评价等场景。关键词:MOOC、慕课、课程推荐、课程对比、证书、考研、机器学习、高等数学。

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# MOOC Course Search

用于搜索 MOOC 课程,并基于用户目标输出可执行的选课建议。

## When to Use This Skill

### Primary Triggers(优先触发)

- 用户明确要找某主题课程(如高等数学、机器学习、考研相关)
- 用户要求比较多门课程并给出推荐结论
- 用户关心课程详情、学习路径、认证成绩或证书信息
- 用户希望按目标筛选最适合课程(考试、就业、兴趣、转专业)

### Automatic Trigger Keywords

- mooc, 慕课, 中国大学MOOC, 课程推荐, 课程对比
- 证书, 认证成绩, 考核方式, 学习收益
- 高等数学, 机器学习, 人工智能,计算机基础, 考研辅导

### When NOT to Use This Skill

- 用户仅需通用网页信息检索,且不涉及课程选择
- 用户问题与学习课程无关(如商品比价、新闻热点)

## Platform Notes

- 平台:中国大学 MOOC(网易与教育部爱课程网联合推出)
- 特色:名校名师课程丰富,支持免费学习与认证体系
- 学科覆盖:基础科学、人文社科、工程技术、经管法学、农林医药等

## Execution Guidelines

### Request Endpoint

默认使用以下接口进行课程搜索:

```bash
curl --location "https://mcp.study.youdao.com/public/mm-course/course/search" \
  --header "Content-Type: application/json" \
  --data '{
    "queryList": ["高等数学", "微积分", "考研数学"]
  }'
```

课程详情查询接口(仅在用户明确想进一步了解某门课程时调用,入参来自上一步搜索结果中的 `courseId` 和 `termId`):

```bash
curl --location "https://mcp.study.youdao.com/public/mm-course/course/detail" \
  --header "Content-Type: application/json" \
  --data '{
    "courseId": 1207108809,
    "termId": 1472362510
  }'
```

### Runtime Rules

- API 调用应等待服务端完成并返回结果后再继续处理
- 搜索接口请求体使用 `queryList`
- 根据用户提问自动生成搜索词列表,默认约 3 个,最多不超过 5 个
- `queryList` 内搜索词应去重,并覆盖同义词/近义表达(如“机器学习/机器学习入门”)
- 仅当用户表达“想进一步了解某门课”时调用课程详情接口
- 详情接口请求体固定使用上一步搜索结果:`courseId`、`termId`
- 当搜索结果不足时,需自动改写检索词再检索 1 次
- 结果为空时,明确告知并给出下一轮检索建议

### Timeout & Retry

| Operation                                         | Expected Time | Recommended Timeout | Notes  |
| ------------------------------------------------- | ------------- | ------------------- | ------ |
| Course Search (`/public/mm-course/course/search`) | 5-20s         | 30s                 | 常规课程检索 |
| Course Detail (`/public/mm-course/course/detail`) | 5-15s         | 30s                 | 课程详情补全 |

重试策略(仅瞬时错误):

1. 第 1 次重试:等待 2 秒
2. 第 2 次重试:等待 4 秒
3. 第 3 次重试:等待 8 秒
4. 最多 3 次,超出后返回失败原因与建议

不重试场景:

- 参数错误或请求体不合法
- 认证失败(访问凭证缺失、无效或已过期)

## Endpoint Configuration

- Course Search: `https://mcp.study.youdao.com/public/mm-course/course/search`
- Course Detail: `https://mcp.study.youdao.com/public/mm-course/course/detail`

## Output Requirements

拿到检索结果后,必须结合用户意图进行二次分析,输出以下内容:

1. 最推荐课程(1-3 门)及推荐理由
2. 每门课程关键信息摘要(课程定位、适合人群、学习收益)
3. 若结果不足,给出更精确的下一轮检索词
4. 若用户关注证书,补充认证与考核相关提示
5. 仅在用户要求进一步了解单门课程时,调用详情接口并补充课程详细信息(如开课院校、授课教师、章节/进度安排、考核与证书说明)
6. 输出时可展示实际使用的 `queryList`(3-5 个)以便用户理解检索覆盖范围

## Interaction Strategy

- 用户目标不清晰时,先澄清学习目标(考试/就业/兴趣)
- 用户强调效率时,优先推荐结构清晰、评价稳定的入门课
- 用户要求进阶时,按“入门 -> 进阶 -> 实战”给出组合建议
- 用户未提出“进一步了解某门课程”时,不主动调用详情接口

## Error Handling

推荐按 HTTP 状态码处理:

- `200`: 正常解析并输出推荐
- `400`: 提示用户优化查询词或参数
- `404`: 提示资源不存在并建议更换关键词
- `500/503/504`: 按重试策略处理,失败后给出降级建议

## Security Constraints

- 不在回复中明文输出长期有效访问凭证
- 不将访问凭证写入仓库文件或日志
- 仅展示与用户问题相关的最小必要信息

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