SkillContent & Media
elearning-localization
Localize e-learning content. TRIGGERS - Use when user needs help with elearning-localization related tasks.
✳Claude Code>_Codex◈OpenClaw+1
By lionelsimaiOriginal project
MIT · FreeView skill
Installable skillMIT
Learning Path
Design personalized learning paths — skill assessment, resource curation, milestones, and progress tracking.
instructions.md
--- name: learning-path display_name: Learning Path description: Design personalized learning paths — skill assessment, resource curation, milestones, and progress tracking. category: Education & Learning platforms: [claude.ai, api] version: 1.0.0 author: Claude Code tags: [learning-path] --- # Learning Path ## Overview Design personalized learning paths — skill assessment, resource curation, milestones, and progress tracking. ## When to Use This Skill Use **Learning Path** when you need to: - Work with learning path tasks in your project or workflow - Automate learning path operations at scale - Generate production-quality learning path output quickly ## Instructions When this skill is active, Claude will: 1. Understand the full context of your learning path request 2. Apply best practices and conventions for Education & Learning 3. Produce clean, well-structured, production-ready output 4. Explain key decisions and offer alternatives where relevant ## Examples ### Example 1 — Basic Usage **User:** Help me get started with learning path. **Claude:** I'll walk you through the essential steps for learning path in your context... ### Example 2 — Advanced Usage **User:** I need a production-ready learning path setup with full error handling. **Claude:** Here's a complete, production-hardened learning path implementation... ## Guidelines - Always validate inputs before processing - Follow the conventions of the target platform or language - Prefer explicit over implicit — clarity beats cleverness - Include comments for non-obvious logic - Suggest tests or validation steps where appropriate ## Dependencies Required: none ## Platforms Available on: claude.ai, api --- *Part of the [claude-skills](https://github.com/inbharatai/claude-skills) collection — 183+ skills for Claude.*--- name: learning-path display_name: Learning Path description: Design personalized learning paths — skill assessment, resource curation, milestones, and progress tracking. category: Education & Learning platforms: [claude.ai, api] version: 1.0.0 author: Claude Code tags: [learning-path] --- # Learning Path ## Overview Design personalized learning paths — skill assessment, resource curation, milestones, and progress tracking. ## When to Use This Skill Use **Learning Path** when you need to: - Work with learning path tasks in your project or workflow - Automate learning path operations at scale - Generate production-quality learning path output quickly ## Instructions When this skill is active, Claude will: 1. Understand the full context of your learning path request 2. Apply best practices and conventions for Education & Learning 3. Produce clean, well-structured, production-ready output 4. Explain key decisions and offer alternatives where relevant ## Examples ### Example 1 — Basic Usage **User:** Help me get started with learning path. **Claude:** I'll walk you through the essential steps for learning path in your context... ### Example 2 — Advanced Usage **User:** I need a production-ready learning path setup with full error handling. **Claude:** Here's a complete, production-hardened learning path implementation... ## Guidelines - Always validate inputs before processing - Follow the conventions of the target platform or language - Prefer explicit over implicit — clarity beats cleverness - Include comments for non-obvious logic - Suggest tests or validation steps where appropriate ## Dependencies Required: none ## Platforms Available on: claude.ai, api --- *Part of the [claude-skills](https://github.com/inbharatai/claude-skills) collection — 183+ skills for Claude.*
COMPATIBILITY & REFERENCES
Platform guidance
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.