klingai-job-monitoring
Monitor and track Kling AI video generation jobs. Use when managing multiple generations or building job dashboards. Trigger with phrases like 'klingai job status', 'track klingai jobs', 'kling ai monitoring', 'klingai job queue'.
Install with Tessl CLI
npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill klingai-job-monitoring63
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillValidation for skill structure
Klingai Job Monitoring
Overview
This skill covers job status tracking, progress monitoring, webhook notifications, and building dashboards to manage multiple concurrent video generation jobs.
Prerequisites
- Kling AI API key configured
- Multiple concurrent jobs to track
- Python 3.8+ or Node.js 18+
Instructions
Follow these steps to monitor jobs:
- Track Job Submission: Record job IDs and metadata
- Poll for Status: Implement efficient status polling
- Handle State Changes: React to status transitions
- Build Dashboard: Create monitoring interface
- Set Up Alerts: Configure notifications
Output
Successful execution produces:
- Real-time job status updates
- Progress tracking dashboard
- Status change notifications
- Batch completion monitoring
Error Handling
See {baseDir}/references/errors.md for comprehensive error handling.
Examples
See {baseDir}/references/examples.md for detailed examples.
Resources
- Commit
9659b78
- Last updated
- Created
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.