Is this skill useful for production environments?

Absolutely. It focuses on production-grade error handling, logging, and recovery patterns to make your Kling AI integration more resilient and automated.

Which Kling AI errors does this skill cover?

It covers a wide range of HTTP status codes including 401 Unauthorized, 400 Bad Request, 429 Rate Limited, 500 Server Errors, and specific generation failures.

Can it automatically fix my authentication issues?

Yes, it analyzes your headers and provides the corrected code format, such as ensuring the proper 'Bearer' prefix is applied to your API key.

How does it handle Kling AI rate limiting?

The skill recommends and helps implement exponential backoff retry logic and request queuing to prevent 429 errors during batch processing.

What if the video generation fails without a clear error code?

It analyzes the job details and prompt complexity to identify if the failure is due to scene descriptions or duration, then suggests simplifications for better success rates.

Kling AI Error Diagnostics & Troubleshooting

Name: Kling AI Error Diagnostics & Troubleshooting
Author: Brmbobo

byBrmbobo

API開発

Diagnoses and resolves Kling AI API errors to ensure reliable video generation workflows.

概要

The Kling AI Common Errors skill is a specialized diagnostic tool for developers working with the Kling AI API. It streamlines the troubleshooting process by automatically identifying HTTP status codes, explaining root causes for failures like authentication issues or rate limits, and providing ready-to-implement code fixes. Whether you are dealing with transient server errors or complex prompt-based generation failures, this skill integrates robust error-handling patterns and retry logic into your codebase to maintain high system uptime and successful video processing.

主な機能

Generation of diagnostic reports with actionable code fixes
Root cause identification for video generation and job failures
Automated HTTP status code analysis for Kling AI API responses
Implementation of exponential backoff and retry decorators
Bearer token format and authentication validation checks
0 GitHub stars

ユースケース

Validating prompt syntax and account credit status before job submission
Debugging failed video generation requests in production environments
Implementing resilient API consumption patterns for high-volume batches

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add brmbobo/web2podcast klingai-common-errors

For use in Claude.ai and ChatGPT

Download Skill

GitHub

概要