learning path creator

仓库: eddiebe147/claude-settings
安装量: 53
排名: #14133

安装

npx skills add https://github.com/eddiebe147/claude-settings --skill 'Learning Path Creator'
Learning Path Creator
The Learning Path Creator skill helps you design structured, effective learning plans for acquiring new skills or deepening existing knowledge. Rather than the overwhelming "drink from the firehose" approach, this skill creates deliberate, progressive learning paths based on your goals, time constraints, and learning style.
This skill applies principles from cognitive science, adult learning theory, and the science of expertise to create learning plans that actually work. It emphasizes active practice over passive consumption, spaced repetition over cramming, and progressive complexity over random exploration. The focus is on retention, application, and building genuine competence—not just completing courses.
The learning paths include curated resources, practice projects, milestone assessments, and accountability structures to keep you progressing from novice to competent practitioner.
Core Workflows
Workflow 1: Learning Path Design
Create comprehensive learning plan:
Goal Clarification
What do you want to be able to do?
Baseline Assessment
What do you already know?
Context Understanding
Why are you learning this? By when?
Resource Curation
Books, courses, tutorials, communities
Project Planning
Hands-on practice opportunities
Milestone Definition
Checkpoints to validate progress
Schedule Design
Time allocation and pacing
Accountability Setup
Tracking and external commitment
Workflow 2: Skill Assessment
Evaluate current level:
Self-Assessment
Rate your current knowledge
Gap Identification
What do you need to learn?
Priority Mapping
What matters most to your goal?
Learning Style
How do you learn best?
Constraint Analysis
Time, money, access limitations
Workflow 3: Resource Recommendation
Curate best learning materials:
Format Preferences
Books, videos, courses, tutorials?
Quality Filtering
Beginner-friendly vs. advanced
Time Considerations
Quick wins vs. deep dives
Budget
Free vs. paid options
Sequencing
What to consume in what order
Workflow 4: Progress Tracking
Monitor learning journey:
Completion Tracking
What's done vs. what's left
Comprehension Check
Can you explain/apply concepts?
Project Milestones
Build real things to prove competence
Difficulty Adjustment
Too easy? Too hard? Just right?
Motivation Check
What's working? What's dragging?
Workflow 5: Learning Review
Periodic assessment and adjustment:
Progress Evaluation
Where are you vs. where you planned to be?
Knowledge Retention
What have you actually retained?
Application Success
Can you use this in real contexts?
Path Adjustment
Speed up, slow down, pivot?
Next Phase
What's the next level of skill development?
Learning Frameworks
The Four Stages of Competence
Stage 1: Unconscious Incompetence
You don't know what you don't know
Strategy: Exposure and awareness-building
Activities: Surveys, introductory content, big picture
Stage 2: Conscious Incompetence
You know what you don't know (hardest stage)
Strategy: Deliberate practice with immediate feedback
Activities: Tutorials, exercises, projects with guidance
Stage 3: Conscious Competence
You can do it, but it requires focus
Strategy: Repetition and variation
Activities: Projects, teaching others, real-world application
Stage 4: Unconscious Competence
You do it naturally without thinking
Strategy: Maintenance and mastery
Activities: Complex projects, mentoring, pushing boundaries
Progressive Learning Layers
Layer 1: Foundation (20% of time)
Core concepts, vocabulary, mental models
Goal: Build scaffolding for deeper learning
Methods: Introductory courses, overview books
Layer 2: Active Practice (50% of time)
Hands-on application, building things
Goal: Develop practical competence
Methods: Tutorials, exercises, small projects
Layer 3: Real Application (20% of time)
Use in actual work or meaningful projects
Goal: Context and integration
Methods: Side projects, freelance work, contributions
Layer 4: Teaching & Refinement (10% of time)
Explain to others, fill knowledge gaps
Goal: Deep understanding and retention
Methods: Writing, teaching, mentoring
The Project-Based Learning Approach
Rather than learn → then apply:
Build → Learn → Build → Learn
Example for learning web development:
Project
Build a personal website
Learn
HTML/CSS basics (just enough)
Project
Add interactivity
Learn
JavaScript fundamentals
Project
Add database
Learn
Backend basics
Continue
Each project drives next learning
Quick Reference
Action
Command/Trigger
Create new path
"create learning path for [skill]"
Skill assessment
"assess my [skill] level"
Resource recommendations
"what should I learn from for [skill]"
Progress update
"learning progress update"
Project ideas
"practice projects for [skill]"
Review learning
"review my learning path"
Adjust plan
"my learning path needs adjustment"
Next steps
"what should I learn next in [path]"
Learning Path Templates
30-Day Skill Sprint Template
SKILL: [Skill Name]
GOAL: [Specific capability you want]
TIME COMMITMENT: [Hours per day/week]
WEEK 1: FOUNDATION
- [ ] Resource 1: [Book/Course - Core concepts]
- [ ] Resource 2: [Tutorial - Getting started]
- [ ] Mini-Project: [Something tiny to prove basics]
- Checkpoint: Can you explain the fundamentals to someone?
WEEK 2: PRACTICE
- [ ] Resource 3: [Intermediate tutorials]
- [ ] Practice exercises [specific list]
- [ ] Project 1: [Small real project]
- Checkpoint: Can you build something without tutorial?
WEEK 3: APPLICATION
- [ ] Project 2: [More complex application]
- [ ] Debugging practice [intentional problems]
- [ ] Community engagement [ask/answer questions]
- Checkpoint: Can you solve problems independently?
WEEK 4: INTEGRATION
- [ ] Project 3: [Combines multiple concepts]
- [ ] Teaching: [Explain to someone or write about it]
- [ ] Review & Reflection
- Checkpoint: Ready for real-world use?
SUCCESS CRITERIA:
- [ ] Can build [specific thing] from scratch
- [ ] Can explain [core concepts] clearly
- [ ] Can debug [common problems]
- [ ] Feel confident using in real work
Career Skill Development Template
SKILL: [Skill Name]
CURRENT LEVEL: [Novice/Intermediate/Advanced]
TARGET LEVEL: [Where you want to be]
TIMELINE: [3/6/12 months]
WHY: [Career goal or requirement]
PHASE 1: FOUNDATION (Month 1-2)
Learning: [Core concepts, basics]
Resources:
- [ ] Book: [Title]
- [ ] Course: [Title]
Practice:
- [ ] Project 1
- [ ] Project 2
Milestone: [Specific capability]
PHASE 2: DEPTH (Month 3-4)
Learning: [Advanced topics]
Resources:
- [ ] Advanced course/book
- [ ] Documentation deep-dive
Practice:
- [ ] Project 3 (more complex)
- [ ] Contribute to open source
Milestone: [Specific capability]
PHASE 3: MASTERY (Month 5-6)
Learning: [Specialized areas, best practices]
Resources:
- [ ] Expert-level content
- [ ] Community involvement
Practice:
- [ ] Real-world application
- [ ] Teaching/mentoring others
Milestone: [Professional competence]
WEEKLY TIME BUDGET: [Hours breakdown]
- Learning: [X hours]
- Practice: [X hours]
- Projects: [X hours]
- Review: [X hours]
SUCCESS METRICS:
- Portfolio pieces: [Number and type]
- Certifications: [If applicable]
- Real-world use: [Job, freelance, etc.]
Topic Deep Dive Template
TOPIC: [Subject Area]
DEPTH TARGET: [Working knowledge / Expert / Mastery]
PURPOSE: [Why you're learning this]
PRE-WORK: BUILD CONTEXT
- [ ] Survey the field: [Overview resources]
- [ ] Understand why it matters
- [ ] Identify key sub-topics
CORE CURRICULUM
Resources (in order):
1. [Introductory resource]
2. [Foundational resource]
3. [Advanced resource]
Active Learning:
- [ ] Take notes in own words
- [ ] Create concept maps
- [ ] Explain to others
- [ ] Write summary essays
Application:
- [ ] Real-world examples
- [ ] Case studies
- [ ] Problem sets
- [ ] Teaching moment
INTEGRATION
Connect to:
- [Related topic 1]
- [Related topic 2]
- [Practical application area]
MASTERY EVIDENCE:
- [ ] Can teach this to a beginner
- [ ] Can debate nuances with expert
- [ ] Can apply in novel situations
Best Practices
Start with the end
- Define what you want to be able to DO, not just know
Build before you're ready
- Projects teach more than courses
Learn just-in-time
- Study what you need for your current project
Teach to solidify
- The best way to learn is to explain to others
Practice deliberately
- Focus on weak points, get immediate feedback
Space your learning
- Distributed practice beats cramming
Test yourself regularly
- Retrieval practice aids retention
Vary your practice
- Different contexts deepen understanding
Seek feedback early
- Don't practice mistakes
Focus on fundamentals
- Deep basics beat surface-level breadth
Join communities
- Learning is social
Track your progress
- Visible progress maintains motivation
Schedule learning time
- It won't happen spontaneously
Limit work-in-progress
- One major skill at a time
Review and reflect
- Spaced review prevents forgetting
Learning Anti-Patterns
Tutorial Hell
Problem
Constantly following tutorials but can't build independently
Solution
After each tutorial, build something similar without instructions
Collector's Fallacy
Problem
Hoarding courses and books but never finishing
Solution
One resource at a time, completion over collection
Perfectionism Paralysis
Problem
Waiting to "fully understand" before practicing
Solution
Build messy first drafts, iterate toward quality
Passive Consumption
Problem
Watching videos and reading without doing
Solution
80% practice, 20% consumption
Random Walk Learning
Problem
Jumping between topics without structure
Solution
Follow a deliberate path, finish what you start
Recommended Learning Resources
Meta-Learning (How to Learn)
Book
"Make It Stick" - Science of successful learning
Book
"Ultralearning" - Self-directed learning strategies
Book
"Peak" - Secrets of expertise
Article
Bloom's Taxonomy - Levels of understanding
Platforms by Learning Style
Project-Based Learners
freeCodeCamp, The Odin Project, Frontend Mentor
Build real projects from day one
Structured Learners
Coursera, edX, Udacity
Full curricula with certificates
Video Learners
YouTube channels, Udemy, Skillshare
Visual demonstrations
Book Learners
Technical books, O'Reilly, Manning
Deep, comprehensive coverage
Community Learners
Discord servers, Reddit, Stack Overflow
Learn through collaboration
Integration Points
This skill works well with:
Goal Setter
Align learning with career/personal goals
Daily Planner
Schedule dedicated learning time
Reading List Manager
Track learning resources
Habit Tracker
Build consistent learning habits
Journal Prompter
Reflect on learning progress
Example Learning Path Session
User
"create learning path for Python"
Skill Response
:
"Great choice—Python is incredibly versatile. Let's design a learning path that works for you.
First, some context questions to personalize this:
1. What do you want to DO with Python?
Data analysis/science?
Web development?
Automation/scripting?
Machine learning?
General programming skills?
2. What's your current programming experience?
Never coded before?
Know another language?
Dabbled a bit?
3. How much time can you dedicate?
Hours per week?
Timeline/deadline?
4. How do you learn best?
Videos and tutorials?
Books and documentation?
Building projects?
Mix of all?
Take your time—good answers create a better path."
User
"Want to do data analysis, never coded before, can do 5 hours per week, learn best by doing projects"
Skill Response
:
"Perfect. Data analysis with no coding background, project-focused approach, 5 hours/week.
Here's your personalized path:
Python for Data Analysis: 12-Week Learning Path
Phase 1: Python Foundations (Weeks 1-4)
Goal: Basic Python competence
Week 1-2: Basics
Resource: freeCodeCamp Python course (first 4 hours)
Mini-project: Build a simple calculator
Practice: 30 Python exercises on Exercism
Time: 3hrs learning, 2hrs practice
Week 3-4: Data structures
Resource: Automate the Boring Stuff (chapters on lists, dicts)
Project: Build a contact manager (stores/retrieves data)
Time: 2hrs reading, 3hrs project
Checkpoint
Can you write loops, functions, and work with lists/dicts?
Phase 2: Data Analysis Tools (Weeks 5-8)
Goal: pandas, numpy, visualization basics
Week 5-6: pandas basics
Resource: Kaggle's pandas course
Project: Analyze a simple dataset (we'll pick one together)
Time: 2hrs tutorials, 3hrs project
Week 7-8: Visualization
Resource: matplotlib/seaborn tutorials
Project: Create charts from your dataset
Time: 1hr tutorials, 4hrs project work
Checkpoint
Can you load, clean, and visualize data?
Phase 3: Real Analysis (Weeks 9-12)
Goal: End-to-end data analysis
Week 9-10: Full analysis project
Pick real dataset (Kaggle, data.gov)
Clean → Analyze → Visualize → Insights
Time: Full 5 hours on project
Week 11-12: Advanced techniques
Learn as needed for your project
Polish and document your work
Share your analysis
Final Checkpoint
Published analysis on GitHub Weekly Structure (5 hours): Monday: 1 hour learning (tutorial/reading) Wednesday: 2 hours hands-on practice Saturday: 2 hours project work Success looks like: After 12 weeks, you can take a dataset, clean it, analyze it, create visualizations, and present insights. Shall we lock this in and I'll help you get started with Week 1? "
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