jeremylongshore

klingai-performance-tuning

@jeremylongshore/klingai-performance-tuning
jeremylongshore
1,004
123 forks
Updated 1/18/2026
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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'.

Installation

$skills install @jeremylongshore/klingai-performance-tuning
Claude Code
Cursor
Copilot
Codex
Antigravity

Details

Pathplugins/saas-packs/klingai-pack/skills/klingai-performance-tuning/SKILL.md
Branchmain
Scoped Name@jeremylongshore/klingai-performance-tuning

Usage

After installing, this skill will be available to your AI coding assistant.

Verify installation:

skills list

Skill Instructions


name: klingai-performance-tuning description: | 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'. allowed-tools: Read, Write, Edit, Grep version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io

Klingai Performance Tuning

Overview

This skill demonstrates optimizing Kling AI for better performance including faster generation, improved quality, cost optimization, and efficient resource usage.

Prerequisites

  • Kling AI API key configured
  • Understanding of performance tradeoffs
  • Python 3.8+

Instructions

Follow these steps for performance tuning:

  1. Benchmark Baseline: Measure current performance
  2. Identify Bottlenecks: Find slow areas
  3. Apply Optimizations: Implement improvements
  4. Measure Results: Compare before/after
  5. Balance Tradeoffs: Find optimal settings

Output

Successful execution produces:

  • Performance benchmarks
  • Optimization recommendations
  • Configuration comparisons
  • Cached generation results

Error Handling

See {baseDir}/references/errors.md for comprehensive error handling.

Examples

See {baseDir}/references/examples.md for detailed examples.

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