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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
• GitLab CI
• Kling AI API