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select-llm-model

Select the best LLM model for a task using live leaderboards and user criteria.

Updated May 16, 2026
Search Tags:#llm#real-time data#performance metrics#model selection#algorithmic decision-making
One-click install
npx skills add https://github.com/korchasa/flowai-plugins --skill select-llm-model-korchasa
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: select-llm-model
Source: https://github.com/korchasa/flowai-plugins/tree/main/plugins/flowai-beta/skills/select-llm-model
Command: npx skills add https://github.com/korchasa/flowai-plugins --skill select-llm-model-korchasa

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill assists in selecting the optimal Large Language Model (LLM) for a given task by providing a ranked list of models based on real-time evidence and performance metrics.

Core Features & Use Cases

  • Real-time Model Ranking: Recommends LLM models based on current live leaderboards and performance data.
  • Customizable Criteria: Allows users to prioritize certain capabilities like intelligence, speed, or price.
  • Live Data Fetching: Fetches public leaderboards and ranks models with rationale and citations at invocation time.
  • Use Case: When faced with a task that requires reasoning, coding, or specific domain knowledge, this Skill can help you pick the most suitable LLM model from a list of candidates.

Quick Start

To use the select-llm-model skill, provide a task description like 'I need to write a long-form essay on climate change and find the best model for this task.'

Frequently Asked Questions about select-llm-model

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I choose the best LLM model for a specific task?▼

To choose the best LLM model for a specific task, provide a task description and prioritize criteria like intelligence, speed, or price to receive a ranked list based on real-time performance metrics.

What is the best way to compare LLM models using real-time performance metrics?▼

Comparing LLM models using real-time performance metrics involves fetching live public leaderboards at invocation time, ranking candidates based on your specified criteria, and providing rationale and citations for the results.

Can I customize LLM model selection criteria based on speed or price?▼

Yes, you can customize LLM model selection criteria by prioritizing specific capabilities such as intelligence, speed, or price to ensure the recommended model aligns with your task requirements and constraints.

When do I need real-time public leaderboards to select an LLM?▼

You need real-time public leaderboards to select an LLM when your task requires reasoning, coding, or specific domain knowledge, ensuring the chosen model reflects the most current performance data available.

Does LLM model selection work across various domains and capabilities?▼

Yes, LLM model selection works across various domains and capabilities by analyzing real-time evidence and performance data to match the specific requirements of your given task with the most suitable candidate.

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