Claude-skill-registry klingai-ci-integration

install

source · Clone the upstream repo

git clone https://github.com/majiayu000/claude-skill-registry

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/klingai-ci-integration" ~/.claude/skills/majiayu000-claude-skill-registry-klingai-ci-integration && rm -rf "$T"

manifest: skills/data/klingai-ci-integration/SKILL.md

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:

Store Secrets: Add API key to CI secrets
Create Workflow: Define pipeline configuration
Build Script: Create video generation script
Handle Output: Store or deploy generated videos
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.