Klingai Async Workflows

Overview

This skill demonstrates building asynchronous workflows for video generation, including job queues, state machines, event-driven processing, and integration with workflow orchestration systems.

Prerequisites

• Kling AI API key configured

• Python 3.8+ or Node.js 18+

• Message queue (Redis, RabbitMQ) or workflow engine

Instructions

Follow these steps to build async workflows:

• Design Workflow: Map out the video generation pipeline

• Implement Queue: Set up job queue for async processing

• Create Workers: Build workers to process jobs

• Handle States: Manage job state transitions

• Add Monitoring: Track workflow progress

Output

Successful execution produces:

• Validated and queued workflow jobs

• State machine driven processing

• Complete audit trail of transitions

• Reliable job completion or failure handling

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

• Redis Queues

• State Machine Patterns