Claude-skill-registry klingai-model-catalog

install

source · Clone the upstream repo

git clone https://github.com/majiayu000/claude-skill-registry

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/klingai-model-catalog" ~/.claude/skills/majiayu000-claude-skill-registry-klingai-model-catalog && rm -rf "$T"

manifest: skills/data/klingai-model-catalog/SKILL.md

Klingai Model Catalog

Overview

This skill provides a comprehensive guide to Kling AI's video generation models, their capabilities, recommended use cases, and how to select the right model for your needs.

Prerequisites

Kling AI API key configured
Understanding of video generation concepts
Knowledge of your use case requirements

Instructions

Follow these steps to understand and select Kling AI models:

Review Available Models: Understand the model options
Compare Capabilities: Evaluate features vs requirements
Test with Samples: Try each model with your prompts
Optimize Selection: Choose based on quality/speed/cost tradeoffs
Monitor Performance: Track results and adjust as needed

Output

Successful execution produces:

List of available models with capabilities
Model recommendation based on requirements
Understanding of pricing and tradeoffs

Error Handling

See

{baseDir}/references/errors.md

for comprehensive error handling.

Examples

See

{baseDir}/references/examples.md

for detailed examples.