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klingai-performance-tuning

4.6

by jeremylongshore

145Favorites
110Upvotes
0Downvotes

Optimize Kling AI performance for speed and quality. Use when improving generation times, reducing costs, or enhancing output quality. Trigger with phrases like 'klingai performance', 'kling ai optimization', 'faster klingai', 'klingai quality settings'.

optimization

4.6

Rating

0

Installs

AI & LLM

Category

Quick Review

The skill provides a clear structure with good separation of concerns (references in separate files), but lacks sufficient actionable detail for a CLI agent to execute performance tuning autonomously. The description mentions triggers and use cases but doesn't specify concrete metrics, APIs, or decision logic. Task knowledge is vague with high-level steps like 'Identify Bottlenecks' without tools, scripts, or methodologies. While the structure is clean and references are appropriately externalized, the core SKILL.md lacks executable guidance. Novelty is moderate - performance tuning could be done by a CLI agent with careful prompting, though specialized knowledge of Kling AI configurations adds some value. The skill would benefit from concrete profiling commands, specific API parameters to tune, threshold values, and decision trees for optimization tradeoffs.

LLM Signals

Description coverage5
Task knowledge3
Structure6
Novelty3

GitHub Signals

1,046
135
8
0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

jeremylongshore avatar
jeremylongshore

Skill Author

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