---
name: klingai-ci-integration
description: |
Execute integrate Kling AI video generation into CI/CD pipelines. Use when automating video
content generation in build pipelines. Trigger with phrases like 'klingai ci',
'kling ai github actions', 'klingai automation', 'automated video generation'.
allowed-tools: Read, Write, Edit, Grep
version: 1.0.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
---
# Klingai Ci Integration
## Overview
This skill shows how to integrate Kling AI video generation into CI/CD pipelines using GitHub Actions, GitLab CI, and other automation platforms.
## Prerequisites
- Kling AI API key stored as CI secret
- CI/CD platform (GitHub Actions, GitLab CI, etc.)
- Python 3.8+ available in CI environment
## Instructions
Follow these steps for CI/CD integration:
1. **Store Secrets**: Add API key to CI secrets
2. **Create Workflow**: Define pipeline configuration
3. **Build Script**: Create video generation script
4. **Handle Output**: Store or deploy generated videos
5. **Add Notifications**: Alert on success/failure
## Output
Successful execution produces:
- Automated video generation in CI pipeline
- Generated videos stored in cloud storage
- Notifications on completion/failure
- Artifacts for downstream processing
## Error Handling
See `{baseDir}/references/errors.md` for comprehensive error handling.
## Examples
See `{baseDir}/references/examples.md` for detailed examples.
## Resources
- [GitHub Actions](https://docs.github.com/en/actions)
- [GitLab CI](https://docs.gitlab.com/ee/ci/)
- [Kling AI API](https://docs.klingai.com/api)