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klingai-performance-tuning

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'.

Install with Tessl CLI

npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill klingai-performance-tuning
What are skills?

63

Does it follow best practices?

Validation for skill structure

SKILL.md
Review
Evals

Evaluation results

100%

22%

Kling AI Configuration Recommender

Optimization strategy selection

Criteria
Without context
With context

Speed model

100%

100%

Speed resolution

100%

100%

Speed duration

100%

100%

Quality model

0%

100%

Quality resolution

100%

100%

Quality duration

100%

100%

Cost model

100%

100%

Cost duration

100%

100%

Cost caching tip

0%

100%

Cost validation tip

100%

100%

Balanced model

100%

100%

Balanced resolution

100%

100%

Quality prompt tips

55%

100%

Speed prompt tips

100%

100%

Without context: $0.3155 · 1m 15s · 19 turns · 20 in / 3,788 out tokens

With context: $0.5967 · 1m 48s · 34 turns · 32 in / 6,635 out tokens

100%

40%

Video Generation Cache System

Caching layer implementation

Criteria
Without context
With context

Cache directory name

100%

100%

Index file

0%

100%

SHA256 hash algorithm

100%

100%

Cache key format

0%

100%

Cache key truncation

0%

100%

Entry stores video_url

100%

100%

Entry stores job_id

0%

100%

Entry stores cached_at

0%

100%

Cache check before generation

100%

100%

Cache set after generation

100%

100%

Cache hit short-circuit

100%

100%

Cache persists to disk

100%

100%

Without context: $0.1810 · 46s · 14 turns · 15 in / 2,675 out tokens

With context: $0.4746 · 1m 28s · 30 turns · 1,085 in / 5,196 out tokens

100%

33%

Kling AI Configuration Benchmark Tool

Performance benchmarking and profiling

Criteria
Without context
With context

PerformanceMetric fields

50%

100%

Stats: avg and min/max

28%

100%

Stats: p50 and p95

50%

100%

Stats: std_dev

100%

100%

Stats: credits fields

100%

100%

Stats: success_rate

66%

100%

Sleep between iterations

0%

100%

Default single benchmark iterations

100%

100%

Default compare iterations

100%

100%

Credits calculation

0%

100%

Fastest recommendation

100%

100%

Cheapest recommendation

100%

100%

API base URL

100%

100%

Without context: $0.4746 · 2m 14s · 22 turns · 22 in / 8,521 out tokens

With context: $0.6072 · 2m 3s · 28 turns · 3,968 in / 7,364 out tokens

Evaluated
Agent
Claude Code

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.