Claude-skill-registry klingai-storage-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 "$T/skills/data/klingai-storage-integration" ~/.claude/skills/majiayu000-claude-skill-registry-klingai-storage-integration && rm -rf "$T"

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

Klingai Storage Integration

Overview

This skill demonstrates how to download and store generated videos in cloud storage services including AWS S3, Google Cloud Storage, and Azure Blob Storage.

Prerequisites

Kling AI API key configured
Cloud storage credentials (AWS, GCP, or Azure)
Python 3.8+ with cloud SDKs installed

Instructions

Follow these steps to integrate storage:

Configure Storage: Set up cloud storage credentials
Download Video: Fetch generated video from Kling AI
Upload to Cloud: Store in your preferred provider
Generate URLs: Create access URLs (signed or public)
Clean Up: Remove temporary files

Output

Successful execution produces:

Downloaded video from Kling AI
Uploaded to cloud storage
Metadata preserved with video
Signed URLs for secure access

Error Handling

See

{baseDir}/references/errors.md

for comprehensive error handling.

Examples

See

{baseDir}/references/examples.md

for detailed examples.