ReddRadar
Agent skill
klingai-rate-limits
Handle Kling AI rate limits with proper backoff strategies. Use when experiencing 429 errors or building high-throughput systems. Trigger with phrases like 'klingai rate limit', 'kling ai 429', 'klingai throttle', 'klingai backoff'.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/klingai-rate-limits
SKILL.md
Klingai Rate Limits
Overview
This skill teaches rate limit handling patterns including exponential backoff, token bucket algorithms, request queuing, and concurrent job management for reliable Kling AI integrations.
Prerequisites
- Kling AI integration
- Understanding of HTTP status codes
- Python 3.8+ or Node.js 18+
Instructions
Follow these steps to handle rate limits:
- Understand Limits: Know the rate limit structure
- Implement Detection: Detect rate limit responses
- Add Backoff: Implement exponential backoff
- Queue Requests: Add request queuing
- Monitor Usage: Track rate limit consumption
Output
Successful execution produces:
- Rate limit handling without errors
- Smooth request throughput
- Proper backoff behavior
- Concurrent job management
Error Handling
See {baseDir}/references/errors.md for comprehensive error handling.
Examples
See {baseDir}/references/examples.md for detailed examples.
Resources
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