klingai-performance-tuning

Quick Review

The skill provides a clear structure with separation of concerns (main SKILL.md plus reference files), but lacks actionable depth. The description covers what the skill does (optimize Kling AI performance) and when to use it, but doesn't specify concrete actions a CLI agent could execute. Task knowledge is limited to high-level steps without specific commands, API calls, or parameter guidance. Structure is good with referenced files for errors, examples, and optimization strategies. Novelty is moderate—while performance optimization is useful, the skill as presented doesn't demonstrate significant complexity or token savings that a CLI agent couldn't achieve through basic API documentation queries and trial-and-error. The skill would benefit from more concrete implementation details, specific optimization parameters, benchmarking scripts, or automated profiling workflows to justify its existence as a reusable component.