SkillContent & Media
Academic Translation Guide
Academic translation, post-editing, and Chinglish correction guide
◈OpenClaw
By wentoraiOriginal project
MIT · FreeView skill
Plan engaging lessons — objectives, warm-ups, instruction, guided practice, assessments, and differentiation strategies.
--- name: lesson-planner display_name: Lesson Planner description: Plan engaging lessons — objectives, warm-ups, instruction, guided practice, assessments, and differentiation strategies. category: Education & Learning platforms: [claude.ai, api] version: 1.0.0 author: Claude Code tags: [lesson-planner] --- # Lesson Planner ## Overview Plan engaging lessons — objectives, warm-ups, instruction, guided practice, assessments, and differentiation strategies. ## When to Use This Skill Use **Lesson Planner** when you need to: - Work with lesson planner tasks in your project or workflow - Automate lesson planner operations at scale - Generate production-quality lesson planner output quickly ## Instructions When this skill is active, Claude will: 1. Understand the full context of your lesson planner 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 lesson planner. **Claude:** I'll walk you through the essential steps for lesson planner in your context... ### Example 2 — Advanced Usage **User:** I need a production-ready lesson planner setup with full error handling. **Claude:** Here's a complete, production-hardened lesson planner 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: lesson-planner display_name: Lesson Planner description: Plan engaging lessons — objectives, warm-ups, instruction, guided practice, assessments, and differentiation strategies. category: Education & Learning platforms: [claude.ai, api] version: 1.0.0 author: Claude Code tags: [lesson-planner] --- # Lesson Planner ## Overview Plan engaging lessons — objectives, warm-ups, instruction, guided practice, assessments, and differentiation strategies. ## When to Use This Skill Use **Lesson Planner** when you need to: - Work with lesson planner tasks in your project or workflow - Automate lesson planner operations at scale - Generate production-quality lesson planner output quickly ## Instructions When this skill is active, Claude will: 1. Understand the full context of your lesson planner 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 lesson planner. **Claude:** I'll walk you through the essential steps for lesson planner in your context... ### Example 2 — Advanced Usage **User:** I need a production-ready lesson planner setup with full error handling. **Claude:** Here's a complete, production-hardened lesson planner 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.*
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.