Klingai Reference Architecture

Overview

This skill provides production-ready reference architectures for building scalable video generation platforms using Kling AI, including microservices design, event-driven patterns, and infrastructure recommendations.

Prerequisites

• Understanding of distributed systems
• Cloud infrastructure experience (AWS/GCP/Azure)
• Docker/Kubernetes knowledge helpful

Instructions

Follow these steps to design your architecture:

1. Choose Pattern: Select appropriate architecture pattern
2. Design Components: Map out service boundaries
3. Plan Infrastructure: Choose cloud services
4. Implement Resilience: Add fault tolerance
5. Monitor & Scale: Set up observability

Output

Successful execution produces:

• Scalable video generation platform
• Event-driven processing pipeline
• Container-ready deployment configs
• Auto-scaling based on queue depth

Error Handling

See ${CLAUDE_SKILL_DIR}/references/errors.md for comprehensive error handling.

Examples

See ${CLAUDE_SKILL_DIR}/references/examples.md for detailed examples.

Resources

• Kling AI API
• Kubernetes Documentation
• Redis Queues