What happens if my video generation fails without a clear error?

The skill analyzes job details to identify complex prompt parameters or timeouts and suggests simplified scene descriptions to ensure successful generation.

Can it handle Kling AI rate limiting?

Yes, it can automatically implement exponential backoff retry decorators and request queuing to resolve 429 'Too Many Requests' errors.

Is this skill compatible with other AI coding agents?

Yes, besides Claude Code, it is compatible with Codex and OpenClaw as specified in the skill configuration.

How does this skill help with Kling AI authentication?

It identifies common issues like missing 'Bearer' prefixes in Authorization headers and applies the correct format to resolve 401 Unauthorized errors.

Kling AI Error Diagnostics

Name: Kling AI Error Diagnostics
Author: micsapp

bymicsapp

0•

API 开发

Diagnoses and resolves Kling AI API errors to ensure seamless video generation integration.

This skill provides a comprehensive toolkit for developers integrating Kling AI, offering automated diagnosis and resolution patterns for common API failures. It analyzes HTTP status codes—such as 401 unauthorized errors, 429 rate limits, and 500 server issues—and implements proven fixes including proper Bearer token formatting, exponential backoff logic, and prompt optimization. Whether you are facing authentication hurdles or complex generation failures, this skill streamlines the debugging process to restore video production workflows quickly and reliably.

主要功能

01Prompt optimization to fix complex video generation failures

020 GitHub stars

03Resolution of authentication issues and Bearer token formatting

04Automated HTTP status code analysis and diagnostic reporting

05Integration of robust error-handling patterns into existing codebases

06Implementation of exponential backoff for rate limit (429) errors

使用场景

01Fixing persistent 401 Unauthorized errors caused by header formatting issues

02Debugging failed video generation requests by simplifying prompt parameters

03Adding resilient retry logic to handle Kling AI API rate limiting during batch jobs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add micsapp/micstec-skills klingai-common-errors

For use in Claude.ai and ChatGPT

主要功能

01Prompt optimization to fix complex video generation failures

020 GitHub stars

03Resolution of authentication issues and Bearer token formatting

04Automated HTTP status code analysis and diagnostic reporting

05Integration of robust error-handling patterns into existing codebases

06Implementation of exponential backoff for rate limit (429) errors

使用场景

01Fixing persistent 401 Unauthorized errors caused by header formatting issues

02Debugging failed video generation requests by simplifying prompt parameters

03Adding resilient retry logic to handle Kling AI API rate limiting during batch jobs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add micsapp/micstec-skills klingai-common-errors

For use in Claude.ai and ChatGPT