How does it help with failed video generation when there is no error code?

It analyzes job details to identify issues like prompt complexity or duration timeouts, suggesting optimizations such as simplifying scene descriptions or adjusting parameters.

Does this skill help with rate limiting issues?

Absolutely. It provides specific patterns for implementing exponential backoff and request queuing to handle 429 errors during batch processing.

What common Kling AI errors does this skill handle?

This skill identifies and provides solutions for 401 Unauthorized, 400 Bad Request, 429 Rate Limited, 402 Payment Required, and various 500-level server errors.

Can it automatically fix my integration code?

Yes, using Claude's Write and Edit tools, the skill can apply fixes to authentication headers, add retry logic decorators, and improve parameter validation logic.

Kling AI API Error Troubleshooter

Name: Kling AI API Error Troubleshooter
Author: jeremylongshore

byjeremylongshore

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1,206

API Development

Diagnoses and resolves Kling AI API integration issues, authentication errors, and video generation failures.

About

The Kling AI Common Errors skill is a specialized diagnostic utility designed to help developers troubleshoot and fix issues when integrating with the Kling AI video generation API. It provides structured guidance for identifying HTTP status codes, resolving authentication hurdles like Bearer token formatting, and managing API limitations such as rate limiting with exponential backoff. Whether you are facing failed video generations due to prompt complexity or server-side outages, this skill streamlines the debugging process with actionable code fixes and enhanced error-handling patterns to ensure robust AI video workflows.

Key Features

Automated HTTP error code diagnosis for 401, 400, 429, and 500 status codes
Prompt optimization to resolve complex video generation failures
Instant fixes for authentication and Bearer token formatting issues
Implementation of exponential backoff logic for rate limit management
1,206 GitHub stars
Integration of resilient error-handling patterns directly into your codebase

Use Cases

Implementing resilient retry logic for high-volume video processing pipelines
Resolving persistent 401 Unauthorized or 403 Forbidden errors in production integrations
Debugging failed video generation requests with non-descript error messages

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills klingai-common-errors

For use in Claude.ai and ChatGPT

Download Skill

GitHub