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learning-path-generator

Name: learning-path-generator
Author: huajianjiu000

作者 huajianjiu · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

137

总下载

当前安装

版本数

在 OpenClaw 中安装

/install learning-path-generator

功能描述

Generate personalized learning paths and curriculum for any skill or subject

使用说明 (SKILL.md)

Learning Path Generator

Description

Learning Path Generator is your personalized education architect that creates structured, progressive learning plans for any skill or subject. Whether you're learning a new programming language, picking up a musical instrument, or mastering a business skill, this skill designs optimal learning sequences based on your goals, current level, and available time.

Features

Skill Assessment: Evaluate your current proficiency level
Goal Setting: Define clear, measurable learning objectives
Curriculum Design: Create logical learning sequences
Time Planning: Optimize study schedules with realistic milestones
Resource Curation: Suggest quality learning materials
Progress Tracking: Build accountability checkpoints

How to Use

Define Learning Goals
- Target skill or subject
- Desired proficiency level (beginner/intermediate/advanced)
- Timeframe for achievement
- Weekly study hours available
Assess Current Level
- Self-assessment quiz
- Identify prerequisite knowledge
- Note any related skills
Generate Learning Path
- Review structured curriculum
- Adjust module sequence as needed
- Set checkpoint milestones
Execute & Refine
- Follow daily/weekly schedule
- Complete assessments
- Adjust based on progress

Example

Input: "Create a learning path for mastering Python programming from beginner to job-ready in 6 months, studying 15 hours per week"

Output:

# Learning Path: Python Programming
## Target: Job-Ready Proficiency | Duration: 6 Months | 15 hrs/week

---

## 📊 Skill Assessment

**Current Level**: Complete Beginner
**Prerequisites**: Basic computer literacy
**Related Experience**: None required

---

## 🎯 Proficiency Goals

By the end of this path, you will:
- [ ] Write clean, Pythonic code
- [ ] Build RESTful APIs
- [ ] Work with databases (SQL + NoSQL)
- [ ] Use Git for version control
- [ ] Apply testing principles
- [ ] Complete a portfolio project

---

## 📅 Phase 1: Foundations (Weeks 1-4)

### Week 1: Python Basics
| Day | Topic | Duration | Practice |
|-----|-------|----------|----------|
| Mon | Installing Python & IDE | 2 hrs | Setup environment |
| Tue | Variables & Data Types | 2 hrs | Exercises |
| Wed | Strings & String Methods | 2 hrs | Mini-project |
| Thu | Lists & List Methods | 2 hrs | Exercises |
| Fri | Conditionals (if/elif/else) | 2 hrs | Quiz |
| Sat | **Project**: Number Guessing Game | 3 hrs | Submit |
| Sun | Review & Practice | 2 hrs | Challenge |

### Week 2: Control Flow & Functions
| Day | Topic | Duration | Practice |
|-----|-------|----------|----------|
| Mon | Loops (for, while) | 2 hrs | Exercises |
| Tue | Functions - Basics | 2 hrs | Exercises |
| Wed | Functions - Parameters & Returns | 2 hrs | Exercises |
| Thu | Scope & Built-in Functions | 2 hrs | Quiz |
| Fri | Debugging Basics | 2 hrs | Debug exercise |
| Sat | **Project**: Calculator App | 3 hrs | Submit |
| Sun | Review & Practice | 2 hrs | Challenge |

### Week 3: Data Structures
| Day | Topic | Duration | Practice |
|-----|-------|----------|----------|
| Mon | Tuples & Sets | 2 hrs | Exercises |
| Tue | Dictionaries | 2 hrs | Exercises |
| Wed | List/Dict Comprehensions | 2 hrs | Exercises |
| Thu | File I/O Basics | 2 hrs | Mini-project |
| Fri | **Project**: Contact Book | 3 hrs | Submit |
| Sat-Sun | Review & Week 1-3 Assessment | 5 hrs | Test |

### Week 4: Object-Oriented Programming
| Day | Topic | Duration | Practice |
|-----|-------|----------|----------|
| Mon | Classes & Objects | 2 hrs | Exercises |
| Tue | Attributes & Methods | 2 hrs | Exercises |
| Wed | Inheritance | 2 hrs | Exercises |
| Thu | Magic Methods & Dunder | 2 hrs | Quiz |
| Fri | **Project**: Bank Account System | 3 hrs | Submit |
| Sat-Sun | Phase 1 Assessment | 5 hrs | Test |

---

## 📅 Phase 2: Intermediate (Weeks 5-10)

### Weeks 5-6: Working with Data
- JSON handling
- CSV/Excel files
- Basic data analysis with Pandas
- **Mini-project**: Data Analysis Report Generator

### Weeks 7-8: Web Fundamentals
- HTTP & APIs
- Flask framework basics
- Routing & templates
- **Mini-project**: Personal Blog

### Weeks 9-10: Databases & ORM
- SQL fundamentals
- SQLite & PostgreSQL
- SQLAlchemy ORM
- **Mini-project**: Task Management API

---

## 📅 Phase 3: Advanced & Portfolio (Weeks 11-18)

### Weeks 11-12: Advanced Topics
- Testing (pytest)
- Error handling & logging
- Decorators & generators
- Context managers

### Weeks 13-14: Specialization
Choose ONE track:
- **Track A**: Django + Full Stack
- **Track B**: Data Science & ML
- **Track C**: Automation & Scripts

### Weeks 15-16: Portfolio Development
- Design and plan capstone project
- Implement core features
- Code review & refactor

### Weeks 17-18: Career Preparation
- GitHub profile optimization
- Resume & LinkedIn
- Mock interviews
- Technical interview practice

---

## 📚 Recommended Resources

### Free Resources
- Python.org Official Tutorial
- CS50P (Harvard's Python Course)
- Real Python Articles

### Paid Resources
- "Automate the Boring Stuff" (Book)
- Udemy Python Bootcamp
- Codecademy Pro

### Practice Platforms
- LeetCode (Easy-Medium)
- HackerRank
- Project Euler

---

## ⏰ Weekly Time Allocation

| Activity | Hours/Week |
|----------|------------|
| Video Lectures | 4 hrs |
| Coding Practice | 6 hrs |
| Projects | 4 hrs |
| Review & Reading | 1 hr |

---

## 🏆 Milestone Checkpoints

| Week | Milestone | Verification |
|------|-----------|--------------|
| 4 | Phase 1 Complete | Pass assessment |
| 10 | Phase 2 Complete | Portfolio piece #2 |
| 16 | Phase 3 Complete | Portfolio piece #3 |
| 18 | Job-Ready | Interview ready |

---

## 💡 Learning Tips

1. **Code every day** - Even 30 minutes helps
2. **Build projects** - Real-world application beats tutorials
3. **Teach others** - Explaining reinforces learning
4. **Join communities** - Reddit, Discord, local meetups
5. **Embrace struggle** - Confusion means growth

Tips

Start with "why" before "how"
Build projects at each phase
Review previous material weekly
Join learning communities for accountability
Adjust pace based on difficulty

安全使用建议

This skill appears internally consistent and low-risk because it's instruction-only and requests no credentials. Before installing: (1) confirm you trust the skill author if you care about provenance, (2) avoid pasting sensitive or personally identifiable information into prompts or assessments the skill might use, (3) treat recommended external paid resources as unvetted—verify links/providers before paying, and (4) if you prefer tighter control, disable autonomous invocation for this skill in your agent settings so it only runs when you explicitly invoke it.

功能分析

Type: OpenClaw Skill Name: learning-path-generator Version: 1.0.0 The skill bundle is purely informational and contains no executable code or malicious instructions. It provides a structured template and guidelines for an AI agent to generate educational learning paths, as seen in SKILL.md, with no evidence of data exfiltration, prompt injection, or unauthorized system access.

能力评估

✓ Purpose & Capability

The skill name and description match the SKILL.md content: creating personalized learning plans, assessments, schedules, and resource suggestions. It declares no binaries, credentials, or config paths that would be unrelated to that purpose.

✓ Instruction Scope

The SKILL.md contains only guidance for assessing skill level, defining goals, designing curricula, scheduling, and recommending resources. It does not instruct the agent to read system files, access environment variables, call arbitrary external endpoints, or exfiltrate data.

✓ Install Mechanism

There is no install spec and no code files (instruction-only). Nothing will be written to disk or downloaded by the skill itself during installation, which minimizes install-time risk.

✓ Credentials

No environment variables, credentials, or config paths are required. The declared requirements are proportionate to a pure instructional/curriculum tool.

✓ Persistence & Privilege

always:false (default) and the skill does not request persistent or elevated privileges or modifications to other skills' configurations. Autonomous invocation is allowed by platform default but is not escalated by the skill's design.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install learning-path-generator
安装完成后，直接呼叫该 Skill 的名称或使用 /learning-path-generator 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

Initial release of Learning Path Generator. - Generate personalized, structured learning paths for any skill or subject. - Features include skill assessment, goal setting, curriculum design, time planning, resource curation, and progress tracking. - Allows users to define goals, assess proficiency, and receive optimized, phase-based curriculums with milestones and resource recommendations. - Supports customizable plans based on learning objectives, available time, and current skill level. - Example curriculum included for mastering Python programming from beginner to job-ready.

元数据

Slug learning-path-generator

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

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