Individual skill
klingai-async-workflows
Build async video generation workflows with Kling AI using queues, state machines, and event-driven patterns. Trigger with phrases like 'klingai async', 'kling ai workflow', 'klingai pipeline', 'async video generation'.
plugins/saas-packs/klingai-pack/skills/klingai-async-workflows/SKILL.md
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
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- async Declared skill tag
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- engineering Derived category
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SKILL.mdcore · 8,080 bytesSKILL.mdcore · 8,080 bytesSKILL.mdcore · 8,080 bytesSKILL.mdcore · 8,080 bytesSKILL.mdcore · 8,080 bytesSKILL.mdcore · 8,080 bytesreferences/errors.mddoc · 412 bytesreferences/examples.mddoc · 229 bytesreferences/redis-queue-integration.mddoc · 2,830 bytesreferences/workflow-implementation.mddoc · 3,767 bytesreferences/workflow-state-machine.mddoc · 3,493 bytes
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# Kling AI Async Workflows
## Overview
Kling AI video generation is inherently async: you submit a task, then poll or receive a callback when done. This skill covers production patterns for integrating this into larger systems using queues, state machines, and event-driven architectures.
## Core Pattern: Submit + Callback
```python
import jwt, time, os, requests
BASE = "https://api.klingai.com/v1"
def get_headers():
ak, sk = os.environ["KLING_ACCESS_KEY"], os.environ["KLING_SECRET_KEY"]