Model Advisor

Classify tasks and recommend Claude models with effort levels.

Updated Mar 14, 2026
One-click install
npx skills add https://github.com/BertCalm/xo-ox-claude-config --skill model-advisor-bertcalm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Model Advisor
Source: https://github.com/BertCalm/xo-ox-claude-config/tree/main/skills/model-advisor
Command: npx skills add https://github.com/BertCalm/xo-ox-claude-config --skill model-advisor-bertcalm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users select the most appropriate Claude model and effort level for their current task, optimizing for both performance and cost.

Core Features & Use Cases

  • Task Classification: Analyzes the nature of the user's work (e.g., novel architecture, bug fixing, repetitive tasks).
  • Model Recommendation: Suggests the best Claude model (Opus or Sonnet) based on the task classification.
  • Effort Level Suggestion: Recommends the appropriate effort level (High, Medium, Low) for the chosen model.
  • Cost Optimization: Identifies opportunities to downgrade models when tasks shift from complex design to implementation.
  • Use Case: Before starting a new feature development, you can ask the Model Advisor to recommend the best model and effort, ensuring efficient use of resources.

Quick Start

Use the model advisor to determine the best model and effort for designing a new synth engine.

Frequently Asked Questions about Model Advisor

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

FAQPage Schema
How do I choose the right Claude model for a specific coding task?

Choosing the right Claude model involves classifying your task. Novel architecture maps to Opus with High effort, whereas mechanical or pattern-following code maps to Sonnet with Medium or Low effort for efficient AI-assisted work.

What is the best way to optimize Claude AI cost management during feature development?

Optimizing Claude AI cost management involves downgrading the model and effort level when tasks shift from complex design to implementation. Mechanical tasks should use Sonnet with Low effort to minimize expenses.

When should I downgrade from Opus to Sonnet for AI-assisted work?

You should downgrade from Opus to Sonnet when your task shifts from novel architecture or complex design to pattern-following code or mechanical implementation, triggering cost optimization without sacrificing quality.

Does task analysis affect effort level selection in Claude AI?

Task analysis directly determines effort level selection. Classifying work as novel architecture, pattern-following code, or mechanical tasks maps directly to High, Medium, or Low effort levels for the chosen Claude model.

Can I get proactive model recommendations at the start of a coding session?

Yes, you can get proactive model recommendations at the start of a coding session or when usage and cost are mentioned, helping you map tasks to the optimal Claude model and effort level immediately.