learning-path-builder

rysweet/amplihack · updated Apr 8, 2026

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$npx skills add https://github.com/rysweet/amplihack --skill learning-path-builder
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summary

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.

skill.md

Learning Path Builder Skill

Purpose

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.

When to Use This Skill

  • New Technology Adoption: Learning a new framework, language, or tool
  • Onboarding: Bringing team members up to speed on project technologies
  • Hackathon Preparation: Building required skills before a competition
  • Career Development: Structured path for advancing in a particular domain
  • Knowledge Gaps: Filling specific skill gaps in your technical stack
  • Upskilling: Transitioning from one technology to another
  • Learning Optimization: Creating efficient paths tailored to your learning style

Core Philosophy: Personalized Progressive Learning

AssessmentGoal SettingPath SequencingResource CurationProgress TrackingAdaptation

A good learning path:

  • Matches current skill level (beginner, intermediate, advanced)
  • Aligns with learning goals and timeline
  • Sequences concepts from simple to complex
  • Mixes multiple resource types (docs, tutorials, exercises, projects)
  • Provides checkpoints and milestones
  • Adapts to learning style and feedback

Learning Path Components

Every personalized learning path includes:

1. Skills Assessment

  • Current skill level (beginner/intermediate/advanced)
  • Relevant prior knowledge
  • Learning experience preference
  • Time availability
  • Career/project goals

2. Goal Definition

  • Primary learning objective
  • Target proficiency level
  • Timeline and milestones
  • Success metrics
  • Constraints and dependencies

3. Concept Sequence

  • Prerequisite concepts
  • Progressive complexity levels
  • Learning foundations first
  • Builds practical understanding over time

4. Resource Curation

  • Official documentation
  • High-quality tutorials
  • Interactive exercises
  • Real-world projects
  • Community resources

5. Learning Checkpoints

  • Milestone assessments
  • Practical exercises
  • Mini-projects
  • Reflection points
  • Progress validation

6. Progress Tracking

  • Completed modules
  • Assessed skill gains
  • Time investment
  • Confidence levels
  • Feedback integration

Step-by-Step Assessment Process

Step 1: Assess Current Skill Level

Ask targeted questions to understand:

  1. Technical Background

    • Languages/frameworks you already know
    • Similar technologies you've used
    • Years of programming experience
    • Relevant professional experience
  2. Learning Style Preference

    • Hands-on (learn by doing)
    • Theory-first (understand concepts)
    • Project-based (learn via real problems)
    • Visual (diagrams, videos)
    • Reading (documentation, blogs)
  3. Time Availability

    • Hours per week available
    • Preferred learning schedule
    • Commitment timeline
    • Flexibility (can vary per week)
  4. Current Knowledge Gaps

    • What specifically needs to be learned
    • Existing knowledge in adjacent areas
    • Misconceptions to address
    • Prior learning attempts

Step 2: Define Clear Learning Goals

Establish SMART goals:

  1. Specific: What exactly will you be able to do?
  2. Measurable: How will you know you've succeeded?
  3. Achievable: Is this realistic given your timeline?
  4. Relevant: How does this align with career/project needs?
  5. Time-bound: When do you want to achieve this?

Step 3: Sequence Concepts Progressively

Create learning sequence from foundations to advanced:

  1. Foundation Concepts (Week 1-2)

    • Core terminology
    • Basic architecture
    • Key principles
    • Simple examples
  2. Core Functionality (Week 2-4)

    • Main features
    • Common patterns
    • Practical exercises
    • Real examples
  3. Advanced Topics (Week 4+)

    • Complex scenarios
    • Performance optimization
    • Best practices
    • Production deployment
  4. Specialization (As needed)

    • Domain-specific knowledge
    • Integration patterns
    • Advanced debugging
    • Expert techniques

Step 4: Curate High-Quality Resources

For each concept, provide:

  1. Official Documentation

    • Links to relevant docs
    • Specific sections to focus on
    • Time estimates
    • Difficulty level
  2. Tutorials and Guides

    • Author/source credibility
    • Format (text, video, interactive)
    • Hands-on vs theoretical
    • Time to complete
  3. Interactive Exercises

    • Practice problems
    • Coding exercises
    • Interactive sandboxes
    • Difficulty progression
  4. Real-World Projects

    • Beginner projects (1-2 days)
    • Intermediate projects (1-2 weeks)
    • Advanced projects (2+ weeks)
    • Open-source contributions
  5. Community Resources

    • Forums and Q&A sites
    • Blogs and articles
    • Videos and screencasts
    • Podcasts and talks

Step 5: Define Checkpoints and Milestones

Establish clear progress markers:

  1. Knowledge Checkpoints

    • Quiz or self-assessment
    • Concept understanding verification
    • Time to complete
  2. Practical Exercises

    • Hands-on coding tasks
    • Expected time
    • Success criteria
    • Difficulty level
  3. Mini-Projects

    • Build something meaningful
    • Combine multiple concepts
    • Realistic scenario
    • Review guidelines
  4. Milestone Assessments

    • Comprehensive projects
    • Demonstrate proficiency
    • Clear success criteria
    • Feedback mechanism

Step 6: Plan Progress Tracking

Setup mechanism for tracking:

  1. Weekly Check-ins

    • Resources completed
    • Concepts mastered
    • Challenges encountered
    • Time spent
  2. Skill Validation

    • Self-assessment
    • Quiz scores
    • Project quality
    • Peer review
  3. Timeline Adjustment

    • Accelerate if on track
    • Extend if needed
    • Adapt based on feedback
    • Celebrate milestones

Learning Path Template

# [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

Learning Path Examples

Example 1: React Learning Path (Beginner to Intermediate)

# 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

Example 2: Docker Learning Path (Beginner)

# 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

Example 3: TypeScript Learning Path (Intermediate Developer)

# TypeScript Learning Path - 6 Weeks

## Assessment
- **Current Level**: Intermediate JavaScript, familiar with types
how to use learning-path-builder

How to use learning-path-builder on Cursor

AI-first code editor with Composer

1

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 learning-path-builder
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/rysweet/amplihack --skill learning-path-builder

The skills CLI fetches learning-path-builder from GitHub repository rysweet/amplihack and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/learning-path-builder

Reload or restart Cursor to activate learning-path-builder. Access the skill through slash commands (e.g., /learning-path-builder) 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.

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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. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 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

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.553 reviews
  • Shikha Mishra· Dec 24, 2024

    Registry listing for learning-path-builder matched our evaluation — installs cleanly and behaves as described in the markdown.

  • James 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.

  • Camila Desai· Dec 24, 2024

    learning-path-builder has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Ganesh Mohane· Dec 20, 2024

    learning-path-builder has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Michael Khan· Dec 16, 2024

    Registry listing for learning-path-builder matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Evelyn White· Dec 12, 2024

    learning-path-builder is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • William Sanchez· Nov 15, 2024

    We added learning-path-builder from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Diego 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.

  • Sakshi 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.

  • Camila Dixit· Nov 3, 2024

    learning-path-builder reduced setup friction for our internal harness; good balance of opinion and flexibility.

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