This skill creates personalized, structured learning paths that guide users through mastering new technologies, frameworks, or concepts. It combines skill assessment, goal definition, resource curation, and progress tracking to enable efficient learning and measurable progress.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionlearning-path-builderExecute the skills CLI command in your project's root directory to begin installation:
Fetches learning-path-builder from rysweet/amplihack and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate learning-path-builder. Access via /learning-path-builder in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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This skill creates personalized, structured learning paths that guide users through mastering new technologies, frameworks, or concepts. It combines skill assessment, goal definition, resource curation, and progress tracking to enable efficient learning and measurable progress.
Assessment → Goal Setting → Path Sequencing → Resource Curation → Progress Tracking → Adaptation
A good learning path:
Every personalized learning path includes:
Ask targeted questions to understand:
Technical Background
Learning Style Preference
Time Availability
Current Knowledge Gaps
Establish SMART goals:
Create learning sequence from foundations to advanced:
Foundation Concepts (Week 1-2)
Core Functionality (Week 2-4)
Advanced Topics (Week 4+)
Specialization (As needed)
For each concept, provide:
Official Documentation
Tutorials and Guides
Interactive Exercises
Real-World Projects
Community Resources
Establish clear progress markers:
Knowledge Checkpoints
Practical Exercises
Mini-Projects
Milestone Assessments
Setup mechanism for tracking:
Weekly Check-ins
Skill Validation
Timeline Adjustment
# [Technology] Learning Path
## Assessment
### Your Profile
- **Current Skill Level**: [Beginner/Intermediate/Advanced]
- **Learning Style**: [Hands-on/Theory/Project-based/Mix]
- **Time Available**: [X hours/week]
- **Prior Experience**: [Relevant technologies]
### Goals
- **Primary Objective**: [What you'll be able to do]
- **Target Level**: [Beginner/Intermediate/Advanced proficiency]
- **Timeline**: [X weeks]
- **Success Criteria**: [Measurable outcomes]
## Concept Sequence
### Foundation (Week 1)
**Concepts**: Core terminology, basic architecture, key principles
**Resources**:
1. [Resource Title](link) - X hour read/watch
2. [Interactive Exercise](link) - X hours hands-on
3. **Checkpoint**: Take quiz or build minimal example
### Core Functionality (Week 2-3)
**Concepts**: Main features, common patterns, real-world usage
**Resources**:
1. [Tutorial](link) - X hours
2. [Project](link) - Build working application
3. **Checkpoint**: Code review or project demo
### Advanced Topics (Week 4+)
**Concepts**: Complex scenarios, optimization, production patterns
**Resources**:
1. [Advanced Guide](link) - X hours
2. [Real Project](link) - Tackle open-source or real problem
3. **Checkpoint**: Implement advanced feature or optimization
## Progress Tracking
| Week | Topic | Resource | Status | Time | Notes |
| ---- | -------------- | ------------------ | ----------- | ---- | -------------------- |
| 1 | Foundations | Docs + Tutorial | In Progress | 5h | Good grasp of basics |
| 2 | Core Feature A | Exercise + Project | Pending | 0h | Not started |
## Next Steps
- Start Week 1 resources
- Join community (Discord/Forums)
- Set up development environment
# React Learning Path - 4 Weeks
## Assessment
- **Current Level**: Intermediate JavaScript
- **Learning Style**: Hands-on with theory background
- **Time**: 10 hours/week
- **Goal**: Build production-ready React applications
## Week 1: Foundations
1. React Docs - Main Concepts (2 hours)
2. JSX fundamentals (1 hour)
3. Interactive sandbox exercises (2 hours)
4. Checkpoint: Build static component library
## Week 2: Component Lifecycle & Hooks
1. React Docs - Hooks (2 hours)
2. State management patterns (1.5 hours)
3. Build Todo app with hooks (3 hours)
4. Checkpoint: Explain useEffect cleanup
## Week 3: Advanced Patterns
1. Context API tutorial (1.5 hours)
2. Performance optimization (2 hours)
3. Build multi-page app (4 hours)
4. Checkpoint: Code performance review
## Week 4: Integration & Real Project
1. API integration patterns (1.5 hours)
2. Testing React components (1.5 hours)
3. Build real project (5 hours)
4. Checkpoint: Deploy live project
## Resources
- React.dev official docs
- React Query for data fetching
- Vitest for testing
- Project: Weather app with real API
# Docker Learning Path - 3 Weeks
## Assessment
- **Current Level**: Basic Linux command line
- **Learning Style**: Project-based
- **Time**: 8 hours/week
- **Goal**: Containerize applications, run multi-container services
## Week 1: Docker Basics
1. Docker Docs - Getting Started (1 hour)
2. Install Docker locally (0.5 hours)
3. Run and interact with containers (2 hours)
4. Dockerfile fundamentals (1 hour)
5. Checkpoint: Build Node.js app Dockerfile
## Week 2: Images and Registries
1. Docker Images deep dive (1.5 hours)
2. Docker Hub tutorial (1 hour)
3. Build and push custom image (2 hours)
4. Multi-stage builds (1 hour)
5. Checkpoint: Optimize image size
## Week 3: Docker Compose & Real App
1. Docker Compose basics (1.5 hours)
2. Multi-container application (2 hours)
3. Networking and volumes (1 hour)
4. Containerize your own project (3 hours)
5. Checkpoint: Deploy compose stack
## Resources
- Docker official documentation
- Play with Docker online sandbox
- Project: Containerize existing app
# TypeScript Learning Path - 6 Weeks
## Assessment
- **Current Level**: Intermediate JavaScript, familiar with types
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
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate 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
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Frontendsame categoryReviews
4.5★★★★★53 reviews- SShikha Mishra★★★★★Dec 24, 2024
Registry listing for learning-path-builder matched our evaluation — installs cleanly and behaves as described in the markdown.
- JJames Brown★★★★★Dec 24, 2024
Keeps context tight: learning-path-builder is the kind of skill you can hand to a new teammate without a long onboarding doc.
- CCamila Desai★★★★★Dec 24, 2024
learning-path-builder has been reliable in day-to-day use. Documentation quality is above average for community skills.
- GGanesh Mohane★★★★★Dec 20, 2024
learning-path-builder has been reliable in day-to-day use. Documentation quality is above average for community skills.
- MMichael Khan★★★★★Dec 16, 2024
Registry listing for learning-path-builder matched our evaluation — installs cleanly and behaves as described in the markdown.
- EEvelyn White★★★★★Dec 12, 2024
learning-path-builder is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- WWilliam Sanchez★★★★★Nov 15, 2024
We added learning-path-builder from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- DDiego Patel★★★★★Nov 15, 2024
Solid pick for teams standardizing on skills: learning-path-builder is focused, and the summary matches what you get after install.
- SSakshi Patil★★★★★Nov 11, 2024
Solid pick for teams standardizing on skills: learning-path-builder is focused, and the summary matches what you get after install.
- CCamila Dixit★★★★★Nov 3, 2024
learning-path-builder reduced setup friction for our internal harness; good balance of opinion and flexibility.
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