klingai-reference-architecture

tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill klingai-reference-architecture

Execute production-ready reference architecture for Kling AI video platforms. Use when designing scalable video generation systems. Trigger with phrases like 'klingai architecture', 'kling ai system design', 'video platform architecture', 'klingai production setup'.

58%

Overall

Validation — 81%

Implementation — 22%

Activation — 90%

SKILL.md

Review

Evals

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:

Choose Pattern: Select appropriate architecture pattern
Design Components: Map out service boundaries
Plan Infrastructure: Choose cloud services
Implement Resilience: Add fault tolerance
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 {baseDir}/references/errors.md for comprehensive error handling.

Examples

See {baseDir}/references/examples.md for detailed examples.

Resources

Repository: github.com/jeremylongshore/claude-code-plugins-plus-skills
Last updated: 14 days ago
Created: 14 days ago

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