course-designer▌
teachingai/full-stack-skills · updated Apr 8, 2026
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Create structured course designs with learning objectives, lesson plans, and assessments.
课程设计技能
Create structured course designs with learning objectives, lesson plans, and assessments.
Workflow
-
需求分析 - Gather requirements:
- 明确目标受众和学习需求
- 确定课程目标和预期成果
- 分析现有资源和约束条件
-
内容规划 - Structure the curriculum:
- 划分课程模块和单元
- 确定每个模块的核心知识点
- 规划知识点的学习顺序
-
活动设计 - Design teaching activities:
- 为每个知识点设计教学活动
- 规划实践练习和项目
- 设计互动和讨论环节
-
评估设计 - Build assessment plan:
- 设计评估方式和标准
- 创建评估工具和 rubric
- 规划评估时间点
Example: Learning Objective (Bloom's Taxonomy)
## Module 3: REST API Design
**Learning Objective:** By the end of this module, students will be able to:
- [Remember] List the HTTP methods and their idempotency properties
- [Understand] Explain the difference between PUT and PATCH
- [Apply] Design a RESTful API for a given resource with proper status codes
- [Analyze] Evaluate an existing API design for REST compliance violations
**Assessment:** Design a REST API for a library management system (rubric below)
| Criteria | Excellent (4) | Good (3) | Needs Work (2) |
|-------------------|----------------------------------|-----------------------|------------------------|
| Resource naming | Consistent plural nouns | Mostly consistent | Inconsistent naming |
| HTTP methods | Correct methods, idempotent | Minor method misuse | Incorrect methods |
| Status codes | Appropriate codes for all cases | Missing edge cases | Generic 200/500 only |
输出格式
课程设计应包含以下部分:
- 课程基本信息: 课程名称、目标受众、总时长
- 课程目标: 总体目标和具体学习目标
- 课程大纲: 模块划分和内容概览
- 详细教学计划: 每节课的教学安排
- 评估方案: 评估方式和标准
- 资源清单: 所需的教学资源
最佳实践
- 确保学习目标清晰、可测量(使用 Bloom 动词)
- 保持内容递进,由浅入深
- 平衡理论学习和实践应用
- 评估方式应与学习目标对齐
Keywords
课程设计, 教学大纲, 学习目标, 教学计划, 课程规划, course design, syllabus, curriculum, learning objectives, Bloom's taxonomy
How to use course-designer on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add course-designer
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches course-designer from GitHub repository teachingai/full-stack-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate course-designer. Access the skill through slash commands (e.g., /course-designer) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★52 reviews- ★★★★★Arjun Abbas· Dec 28, 2024
We added course-designer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Pratham Ware· Dec 20, 2024
Registry listing for course-designer matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Arjun Sanchez· Dec 20, 2024
Registry listing for course-designer matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Chen Mehta· Dec 16, 2024
course-designer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Anika Gonzalez· Dec 4, 2024
Solid pick for teams standardizing on skills: course-designer is focused, and the summary matches what you get after install.
- ★★★★★Yusuf Huang· Nov 23, 2024
course-designer has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Hassan Ghosh· Nov 19, 2024
Useful defaults in course-designer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Sakshi Patil· Nov 11, 2024
course-designer reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Anika Ndlovu· Nov 11, 2024
course-designer reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Yuki Nasser· Nov 3, 2024
course-designer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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