gs:benchmark-models
CommunityBenchmark and compare AI model performance across gstack skills.
Authorthanh-abaii
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill allows you to benchmark and compare the performance of different AI models across various gstack skills, helping you determine which model is best suited for your needs.
Core Features & Use Cases
- Cross-Model Benchmarking: Run the same prompt through multiple AI models to compare their speed, cost, and output quality.
- Skill Performance Measurement: Evaluate the performance of gstack skills on different models to optimize your workflows.
- Use Case: If you are developing a project that requires AI-driven insights, this Skill can help you identify the most efficient and cost-effective model to use.
Quick Start
To benchmark models for a specific gstack skill, use the command: /gs:benchmark-models --skill <skill-name>
Dependency Matrix
Required Modules
gstack-model-benchmark
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: gs:benchmark-models Download link: https://github.com/thanh-abaii/gstack-windows-port/archive/main.zip#gs-benchmark-models Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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