Execute diagnose and fix common Kling AI API errors. Use when troubleshooting failed video generation or API issues. Trigger with phrases like 'kling ai error', 'klingai not working', 'fix klingai', 'klingai failed'.
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
skills listSkill Instructions
name: klingai-common-errors description: | Execute diagnose and fix common Kling AI API errors. Use when troubleshooting failed video generation or API issues. Trigger with phrases like 'kling ai error', 'klingai not working', 'fix klingai', 'klingai failed'. allowed-tools: Read, Write, Edit, Grep version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io
Kling AI Common Errors
Overview
Comprehensive guide to identifying, diagnosing, and resolving common Kling AI API errors during video generation.
Prerequisites
- Kling AI integration experiencing errors
- Access to request/response logs
- API key configured
Instructions
- Identify the HTTP status code from the error response
- Match the error code to the reference table below
- Review the specific causes for your error
- Apply the recommended solution
- Test with a simple request to verify the fix
- Add proper error handling to prevent recurrence
Output
- Diagnostic report identifying error type and root cause
- Code fixes with corrected authentication or retry logic
- Verified resolution through successful API test
- Enhanced error handling patterns integrated into codebase
Error Handling
| Error Code | Cause | Solution |
|---|---|---|
| 401 Unauthorized | Invalid/missing API key | Verify key, check Bearer format |
| 400 Bad Request | Invalid parameters | Validate all required fields |
| 403 Forbidden | Account/content issue | Check account status, review prompt |
| 429 Rate Limited | Too many requests | Implement exponential backoff |
| 402 Payment Required | Insufficient credits | Check balance, add credits |
| 500/502/503 Server | Service outage | Wait and retry with backoff |
| Generation Failed | Complex prompt/timeout | Simplify prompt, reduce duration |
Examples
Example: Diagnose Authentication Error Request: "My Kling AI video generation keeps failing with 401 errors" Result: Identified missing Bearer prefix in Authorization header, applied fix, verified with successful test generation
Example: Handle Rate Limiting Request: "Getting too many requests errors when batch processing videos" Result: Implemented exponential backoff retry decorator, added request queuing, batch processes without rate limit errors
Example: Debug Generation Failure Request: "Video generation fails with no clear error message" Result: Analyzed job details, identified prompt complexity issue, simplified scene description, successful on retry
Resources
Detailed Error Reference
See {baseDir}/references/error-codes.md for comprehensive error handling code patterns including:
- HTTP 401 authentication fixes with proper Bearer token format
- HTTP 400 parameter validation with pre-flight checks
- HTTP 429 rate limiting with exponential backoff retry decorator
- HTTP 500 server error handling with retry logic
- Generation failure diagnosis and recovery patterns
More by jeremylongshore
View allRabbitmq Queue Setup - Auto-activating skill for Backend Development. Triggers on: rabbitmq queue setup, rabbitmq queue setup Part of the Backend Development skill category.
evaluating-machine-learning-models: This skill allows Claude to evaluate machine learning models using a comprehensive suite of metrics. It should be used when the user requests model performance analysis, validation, or testing. Claude can use this skill to assess model accuracy, precision, recall, F1-score, and other relevant metrics. Trigger this skill when the user mentions "evaluate model", "model performance", "testing metrics", "validation results", or requests a comprehensive "model evaluation".
building-neural-networks: This skill allows Claude to construct and configure neural network architectures using the neural-network-builder plugin. It should be used when the user requests the creation of a new neural network, modification of an existing one, or assistance with defining the layers, parameters, and training process. The skill is triggered by requests involving terms like "build a neural network," "define network architecture," "configure layers," or specific mentions of neural network types (e.g., "CNN," "RNN," "transformer").
Oauth Callback Handler - Auto-activating skill for API Integration. Triggers on: oauth callback handler, oauth callback handler Part of the API Integration skill category.
