klingai-common-errors

Quick Review

This skill provides a solid, actionable guide for diagnosing and fixing Kling AI API errors. The description clearly indicates when to invoke it, and the instructions follow a logical troubleshooting workflow. The error table provides immediate reference value, and examples demonstrate practical applications. The structure is clean with appropriate separation of detailed patterns into a reference file. However, novelty is moderate since error troubleshooting is a common pattern that a capable CLI agent could handle with sufficient context, though the curated error table and specific Kling AI knowledge do provide time-saving value. The skill would benefit from more specific code snippets in the main document for immediate application, though these are referenced as existing in the error-codes.md file.