klingai-model-catalog/
├── 📄 SKILL.md # Main skill definition with YAML frontmatter
└── 📂 examples/ # Optional examples directory
└── 🐍 model_comparison.py # Python model evaluation script
File Descriptions
File
Type
Purpose
SKILL.md
📄 Markdown
Skill definition with model comparison and selection guidance
model_comparison.py
🐍 Python
Script for comparing model capabilities and outputs
Summary
Category: onboarding
Target Audience: Developer evaluating models
Trigger Phrases:klingai models, kling ai model selection, klingai capabilities, which klingai model
What This Skill Does
This skill helps developers understand and select the right Kling AI model for their use case. It covers:
Available models (kling-v1, kling-v1.5, kling-pro)
Model capabilities and limitations
Quality vs speed vs cost tradeoffs
Duration and resolution options
Feature comparison matrix
Technical Success Criteria
Understanding of model capabilities and selection criteria
Ability to select appropriate model for specific requirements
Knowledge of tradeoffs between models
Business Success Criteria
Optimal model selection for use case requirements
Cost-effective model choices
Quality expectations properly set
Related Skills
klingai-text-to-video - Using selected model for generation
klingai-pricing-basics - Cost implications of model selection
klingai-performance-tuning - Optimizing model parameters
1---2name: 1984-klingai-model-catalog-e559889a3description: klingai-model-catalog4---5# klingai-model-catalog67> Explore Kling AI models and their capabilities89## Directory Structure1011```12klingai-model-catalog/13├── 📄 SKILL.md # Main skill definition with YAML frontmatter14└── 📂 examples/ # Optional examples directory15 └── 🐍 model_comparison.py # Python model evaluation script16```1718## File Descriptions1920| File | Type | Purpose |21|------|------|---------|22| `SKILL.md` | 📄 Markdown | Skill definition with model comparison and selection guidance |23| `model_comparison.py` | 🐍 Python | Script for comparing model capabilities and outputs |2425## Summary2627**Category:** onboarding28**Target Audience:** Developer evaluating models29**Trigger Phrases:** `klingai models`, `kling ai model selection`, `klingai capabilities`, `which klingai model`3031### What This Skill Does3233This skill helps developers understand and select the right Kling AI model for their use case. It covers:3435- Available models (kling-v1, kling-v1.5, kling-pro)36- Model capabilities and limitations37- Quality vs speed vs cost tradeoffs38- Duration and resolution options39- Feature comparison matrix4041### Technical Success Criteria4243- Understanding of model capabilities and selection criteria44- Ability to select appropriate model for specific requirements45- Knowledge of tradeoffs between models4647### Business Success Criteria4849- Optimal model selection for use case requirements50- Cost-effective model choices51- Quality expectations properly set5253## Related Skills5455- `klingai-text-to-video` - Using selected model for generation56- `klingai-pricing-basics` - Cost implications of model selection57- `klingai-performance-tuning` - Optimizing model parameters
Run npx skillmds@latest add tools-only/1984-klingai-model-catalog-e559889a in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.
klingai-model-catalog It is listed under AI & ML on SkillMD.
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