LLM Model Selection Skill
CommunityMatch models to tasks by cost, speed, and power.
Authorfabioc-aloha
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps teams and developers choose the most appropriate language model for a given task by balancing power, cost, and latency, reducing wasted compute and suboptimal results.
Core Features & Use Cases
- Model-rating framework: Provides a tiered mapping of models (Frontier, Capable, Fast) to task types and cost profiles.
- Guidance for architecture decisions: Helps decide when to escalate to more capable models for complex multi-file updates or long-context tasks.
- Use Case: When designing an AI assistant for a product, use this Skill to decide whether to deploy Claude Opus 4.5 versus GPT-4o for a given user query.
Quick Start
Use the LLM Model Selection Skill to assess a given task and select the most appropriate model tier for a multi-turn chat workflow.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: LLM Model Selection Skill Download link: https://github.com/fabioc-aloha/Alex_Sandbox/archive/main.zip#llm-model-selection-skill Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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