/skills

Browse and discover available skills organized by agent and category.

Description

The /skills command lets you explore the comprehensive skill library organized by the 8 agent specializations. Each skill is a deep dive into a specific topic with examples and best practices.

Usage

/skills
/skills list <agent>
/skills search <query>
/skills detail <skill-id>

Available Skills (29 Total)

🎨 Frontend Development (4 skills)

• html-css-design - Semantic HTML5 and advanced CSS techniques
• javascript-ecosystem - Modern JavaScript and ES6+ features
• react-modern-frontend - React hooks and best practices
• frontend-frameworks - Vue, Angular, framework comparison

🔧 Backend Development (4 skills)

• rest-api-design - RESTful API principles and design
• nodejs-runtime - Node.js and popular frameworks
• backend-frameworks - Spring Boot, Django, Go, PHP
• graphql-advanced-apis - GraphQL design and optimization

🌐 Full Stack Development (3 skills)

• typescript-advanced - Advanced TypeScript patterns
• nextjs-modern-web - Next.js and modern web framework
• fullstack-patterns - Full-stack architecture patterns

📱 Mobile Development (3 skills)

• react-native-mobile - Cross-platform React Native
• flutter-development - Flutter and Dart programming
• native-ios-swift - Swift and SwiftUI development

🗄️ Database & Data (3 skills)

• sql-databases - SQL and relational databases
• nosql-databases - MongoDB, Redis, DynamoDB
• database-design - Data modeling and architecture

☁️ Cloud & DevOps (5 skills)

• docker-containers - Docker and containerization
• kubernetes-orchestration - Kubernetes management
• aws-cloud - AWS services and architecture
• terraform-iac - Infrastructure as code
• linux-sysadmin - Linux administration

🤖 AI/ML & Data Science (4 skills)

• machine-learning-fundamentals - ML algorithms and practices
• deep-learning-neural-networks - Neural networks and DL
• data-science-analytics - Data analysis and insights
• mlops-deployment - Model deployment and MLOps

👨‍💼 Specialized Roles (3 skills)

• system-design - Scalable system architecture
• software-architecture - Architecture patterns
• testing-qa - Testing strategies and QA

Usage Examples

List skills by agent

> /skills list backend

📚 Backend Development Skills:

1. rest-api-design
   Learn RESTful API design principles, HTTP methods,
   status codes, and best practices.
   Level: Intermediate
   Duration: 4-6 hours

2. nodejs-runtime
   Master Node.js runtime, event-driven architecture,
   and popular frameworks like Express.
   Level: Intermediate
   Duration: 6-8 hours

3. backend-frameworks
   Overview of Spring Boot, Django, Go, and other
   backend frameworks.
   Level: Intermediate
   Duration: 8-10 hours

4. graphql-advanced-apis
   Learn GraphQL for flexible, powerful API development.
   Level: Advanced
   Duration: 6-8 hours

Search for skills

> /skills search "typescript"

🔍 Search results for "typescript":

1. typescript-advanced
   Advanced TypeScript patterns, generics, utility types
   Agent: Full Stack & Web
   Level: Advanced

2. react-modern-frontend
   Includes TypeScript usage in React components
   Agent: Frontend Development
   Level: Intermediate

View skill details

> /skills detail typescript-advanced

📖 SKILL: typescript-advanced
Agent: Full Stack & Web Agent
Level: Advanced
Duration: 6-8 hours

OVERVIEW
────────
Master advanced TypeScript patterns, generics, and type
system features for building robust, type-safe applications.

QUICK START
───────────
[Code examples and quick introduction]

KEY TOPICS
──────────
✓ Generics - Writing reusable, type-safe code
✓ Utility Types - Readonly, Partial, Pick, Record
✓ Conditional Types - Type inference and branching
✓ Template Literal Types - Type manipulation
✓ Decorators - Metadata and aspect-oriented programming
✓ Module Resolution - Path mapping and imports
✓ Type Guards - Narrowing types effectively

BEST PRACTICES
──────────────
✅ Use generics for reusable components
✅ Leverage utility types
✅ Write strict TypeScript configuration
✅ Avoid `any` type
✅ Use discriminated unions

PROJECTS
────────
1. Type-safe API client library
2. Generic data structures (Stack, Queue, Tree)
3. Advanced React component patterns

RESOURCES
─────────
[Links to relevant documentation and tutorials]

NEXT STEPS
──────────
- Practice with the projects listed above
- Apply patterns to your own code
- Explore related skills

List by category

> /skills list ai-ml

📚 AI/ML & Data Science Skills (4):

🤖 machine-learning-fundamentals
   ML algorithms, training process, evaluation metrics
   Duration: 8-10 hours

🧠 deep-learning-neural-networks
   Neural networks, CNNs, RNNs, Transformers
   Duration: 10-12 hours

📊 data-science-analytics
   Data analysis, visualization, insights extraction
   Duration: 8-10 hours

🚀 mlops-deployment
   Model serving, pipelines, monitoring
   Duration: 6-8 hours

Total Learning Time: 32-40 hours
Recommended Learning Path: (Detailed path shown)

Quick Reference

By Level

• Beginner: html-css-design, javascript-ecosystem, rest-api-design
• Intermediate: react-modern-frontend, nodejs-runtime, database-design
• Advanced: typescript-advanced, graphql-advanced-apis, system-design
• Expert: mlops-deployment, kubernetes-orchestration, software-architecture

By Technology

• JavaScript/TypeScript: javascript-ecosystem, typescript-advanced, nextjs-modern-web
• Databases: sql-databases, nosql-databases, database-design
• Cloud/DevOps: docker-containers, kubernetes-orchestration, aws-cloud
• AI/ML: machine-learning-fundamentals, deep-learning-neural-networks, mlops-deployment

Tips

✨ For Beginners: Start with frontend/backend fundamentals ✨ For Career Change: Pick specialization, follow /learn path ✨ For Specialization: Deep dive into 3-4 related skills ✨ For Mastery: Complete all skills in an agent area

See Also

• /learn - Guided learning paths
• /explore - Explore specializations
• /roadmap - Industry roadmaps

Contribution

Want to add new skills? The plugin is open source and welcomes contributions!