export default guide-development

name	Guide Development
description	Auto-scaffold Designer Guides learning paths by analyzing existing guides (Claude Code, Cursor) and generating new guides for other tools

Guide Development Skill

This skill helps you generate Designer Guide learning paths for different AI tools and design platforms. The guide generator analyzes your existing complete guides (Claude Code ✅, Cursor ✅) and creates new guides for other tools following the same proven structure and patterns.

What This Skill Does

The guide generator automatically creates:

• ✅ Complete guide metadata (title, description, tags)
• ✅ Module structure (Setup, Features, Workflows, Advanced)
• ✅ Sequential lessons with estimated durations
• ✅ Rich lesson sections (intro, steps, code, images, callouts)
• ✅ Placeholder content ready for tool-specific details
• ✅ TypeScript guide objects that integrate with the existing guides system

Current Guide Status

✅ Fully Developed Guides (2/6)

1. Claude Code Learning Path - 18 lessons across 4 modules

   • Complete setup, features, workflows, and best practices
   • Ready for use: http://localhost:3000/guides/claude-code-learning-path

2. Cursor Learning Path - 12 lessons across 4 modules

   • Complete setup, key features, design-to-code workflows
   • Ready for use: http://localhost:3000/guides/cursor-learning-path

📋 Placeholder Guides (4/6) - Ready for Generation

1. GitHub Copilot Guide - Structure only, needs content
2. Replit Guide - Structure only, needs content
3. V0 Guide - Structure only, needs content
4. GitHub Guide - Structure only, needs content

Intent Detection - When Claude Should Suggest This Skill

Claude should automatically proactively suggest using the guide generator when detecting these keywords:

• "create a guide" or "generate guide" → Suggest: npm run generate-guide
• "guide for [tool-name]" → Suggest generator for that specific tool
• "designer guide" or "learning path" → Suggest: npm run generate-guide
• "update guide" or "add lesson" → Suggest: npm run generate-lesson
• When user mentions working on tool documentation → Offer guide generation
• "how do I create a guide?" or "what guides exist?" → Show available guides

Auto-Suggestion Logic

When user mentions guide work, Claude should:

1. Check status: npm run list-guides (in background)
2. Identify complete vs. placeholder guides: 2 complete, 4 need content
3. Suggest appropriate action:
   • For PLACEHOLDER guides: "Ready to generate? Run: npm run generate-guide"
   • For NEW tool: "Let me create a guide for [tool]. Run: npm run generate-guide"
   • For EXISTING guide: "Guide already exists. Enhance it by editing guides.ts directly"
4. Explain what it generates: "This creates all 4 modules with lesson structure automatically"
5. Next steps: Guide for content enhancement and image/GIF addition

Using the AI Guide Generator

The guide generator creates guide structure following existing guide patterns!

# Generate a new guide interactively
npm run generate-guide

# List all guides and completion status
npm run list-guides

# Validate guide structure
npm run validate-guides

What the generator does automatically:

• ✅ Creates guide metadata (title, description, slug, tags)
• ✅ Generates 4 module structure (Setup, Features, Workflows, Advanced)
• ✅ Creates sequential lessons with descriptions
• ✅ Adds lesson sections (intro, steps, images, code, callouts)
• ✅ Generates placeholder content ready for enhancement
• ✅ Adds guide object to guides.ts with proper TypeScript syntax
• ✅ Validates against your guide schema

After generation, you will need to:

• Add images/GIFs to public/images/guides/[slug]/
• Enhance lesson content with tool-specific details
• Add tool-specific code examples
• Review and test at http://localhost:3000/guides/[slug]
• Update placeholder section content with real information

Guide Structure Reference

Guide Data Model

Each guide at guides.ts contains:

{
  id: string              // Unique identifier
  slug: string            // URL slug (e.g., "cursor-learning-path")
  title: string           // Display title
  description: string     // Full description
  excerpt: string         // Short summary
  tool: string            // Tool name (e.g., "Cursor", "GitHub Copilot")
  useCase: string         // Always "Learning Path"
  skillLevel: string      // Beginner, Intermediate, or Advanced
  designDomain: string    // Always "UX Design"
  readTime: number        // Estimated minutes
  author: string          // Author name
  publishedDate: string   // ISO date string
  thumbnail: string       // Image URL
  tags: string[]          // Searchable tags
  lessons: Lesson[]       // Array of lessons
}

Lesson Structure

{
  id: string              // Unique identifier (e.g., "lesson-1")
  title: string           // Lesson title
  duration: number        // Minutes to complete
  order: number           // Sequential order
  module: string          // Module name (setup, features, workflows, advanced)
  sections: Section[]     // Lesson content sections
}

Section Types

1. Intro Section - Brief introduction

{ type: 'intro', content: string, icon: string }

2. Text Section - Paragraph content

{ type: 'text', content: string }

3. Steps Section - Numbered steps with instructions

{
  type: 'steps',
  steps: [
    { number: 1, title: string, content: string[], icon: string },
    { number: 2, title: string, content: string[], icon: string }
  ]
}

4. Image Section - Images and screenshots

{ type: 'image', alt: string, label: string }

5. Code Section - Code examples

{ type: 'code', language: string, title: string, code: string }

6. Callout Section - Tips, warnings, or information

{
  type: 'callout',
  calloutType: 'tip' | 'warning' | 'info',
  title: string,
  content: string,
  icon: string
}

Template Patterns from Existing Guides

Module Structure (Proven Pattern)

1. Setup (3 lessons) - Installation, configuration, first project
2. Features (3 lessons) - Core features, AI capabilities, customization
3. Workflows (3 lessons) - Practical workflows, collaboration, integration
4. Advanced (3 lessons) - Advanced techniques, best practices, troubleshooting

Lesson Duration Pattern

• Each lesson: 2-3 minutes to complete
• Setup module lessons: 2 minutes (simpler)
• Advanced module lessons: 3 minutes (more complex)

Section Pattern (Proven Sequence)

1. Intro - What you'll learn and why it matters
2. Text - Background information and concepts
3. Steps - Numbered instructions to follow
4. Image - Visual demonstration (screenshot/GIF placeholder)
5. Callout - Pro tip or important note
6. Code (optional) - Code example if applicable

Guide Development Workflow

Step 1: Generate Guide Structure

npm run generate-guide
# Follow interactive prompts:
# - Tool name (e.g., "GitHub Copilot")
# - URL slug (e.g., "github-copilot-learning-path")
# - Skill level (Beginner/Intermediate/Advanced)
# - Number of lessons (default: 12)
# - Number of modules (default: 4)

Step 2: Review Generated Guide

• Open src/data/guides.ts
• Verify guide metadata and lesson structure
• Check module organization

Step 3: Add Images & GIFs

• Create folder: public/images/guides/[slug]/
• Add images/GIFs for each lesson that needs visuals
• Images should be 800-1200px wide
• Optimize using: npm run optimize-images

Step 4: Enhance Content

• Edit lesson titles for tool-specific details
• Update section content with real information
• Replace placeholder "callout tips" with tool-specific advice
• Add actual code examples where needed
• Customize step titles and instructions

Step 5: Test & Review

npm run dev                    # Start dev server
# Navigate to: http://localhost:3000/guides/[slug]
# Review all lessons and sections
# Check mobile responsiveness
# Test all interactive elements

Step 6: Validation

• Guides are automatically validated when served
• Check console for any guide structure errors
• All lessons should render without warnings

Commands Reference

# Generate a new guide (interactive mode)
npm run generate-guide

# Add a lesson to an existing guide
npm run generate-lesson

# List all guides and their status
npm run list-guides

# Validate guide structure
npm run validate-guides

# Start development server to preview guides
npm run dev

# Optimize guide images
npm run optimize-images

Important Rules

⚠️ One Tool at a Time: Complete one guide fully before starting another.

✅ Complete Structure First: Let the generator create the full structure, then enhance content step by step.

🎯 Quality Content: Focus on making guide content clear and practical for designers.

📱 Test Thoroughly: Always preview in browser and test on mobile.

🖼️ Always Add Images: Every lesson should have at least one image/GIF placeholder.

Success Criteria

A guide is complete when:

✅ Guide metadata (title, description, tags) is accurate ✅ All lessons render correctly ✅ Module structure is logical (Setup → Features → Workflows → Advanced) ✅ Each lesson has 4+ sections (intro, text, steps, image, callout) ✅ All image placeholders have descriptive alt text ✅ Images/GIFs are optimized and added ✅ Code examples (if applicable) are valid ✅ Guide displays correctly at http://localhost:3000/guides/[slug] ✅ Mobile responsive design verified ✅ All sections match guide schema

Next Steps After Guide Completion

1. Commit changes with guide name in message
2. Update progress in npm run progress-report
3. Move to next placeholder guide
4. Track progress toward 6/6 complete guides

Agent Coordination & Workflow

This skill works with other AI agents:

Related Skills & Agents

• pattern-dev - Develops patterns (guides complement patterns)
• test-gen - Generates component tests if guides have interactive demos
• design - Analyzes design consistency in guide UI

Coordinated Workflow

# Complete AIUX workflow
npm run generate-pattern              # Generate pattern
npm run generate-guide                # Generate guide lesson about pattern
npm run design-analyze                # Analyze design consistency
npm run progress-report               # Track overall progress

---

Project Goal: Complete 6 Designer Guide learning paths covering all major AI tools and design platforms. Currently: 2/6 complete (Claude Code, Cursor), 4/6 placeholders ready for generation.

Related Project: 24 AI design patterns (15/24 complete, 9 in progress)