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check-model

Evaluate current AI model fit and recommend switching between Opus, Sonnet, or Haiku.

Updated May 24, 2026
Search Tags:#workflow#model selection#opus#haiku#sonnet#task triage
One-click install
npx skills add https://github.com/empty-can/cc-relative-info --skill check-model-empty-can
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: check-model
Source: https://github.com/empty-can/cc-relative-info/tree/main/.claude/skills/check-model
Command: npx skills add https://github.com/empty-can/cc-relative-info --skill check-model-empty-can

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps prevent wasted time and poor task fit by checking whether the current AI model matches the complexity of the work you are doing or about to do.

Core Features & Use Cases

  • Model Fit Assessment: Evaluates whether the current session should stay on the current model or switch to a lighter or stronger one.
  • Task-Aware Recommendations: Distinguishes between deep design work, normal implementation tasks, and lightweight deterministic requests.
  • Use Case: Before starting a design review, architecture decision, code implementation, or simple formatting task, use this Skill to confirm whether Opus, Sonnet, or Haiku is the appropriate choice.

Quick Start

Ask the AI to run the check-model skill for your current task or describe the work you want evaluated.

Frequently Asked Questions about check-model

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

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

AI model selection works by evaluating the active model against your current task description, then returning a fixed decision format that recommends staying or switching to Opus, Sonnet, or Haiku based on the inferred complexity.

When should I switch from Sonnet to Opus for design review or debugging?▼

You should switch from Sonnet to Opus when the model fit assessment determines the task is too complex, specifically for deep design analysis, architecture decisions, and heavy debugging or refactoring work.

Can I use Haiku for code review and research summaries?▼

You can use Haiku for code review and research summaries because the model selection process maps lightweight deterministic tasks to Haiku, preventing wasted time and poor task fit on simple requests.

What is the best way to triage tasks for Opus, Sonnet, and Haiku models?▼

The best way to triage tasks is to infer the current task description and map it to model suitability, escalating the decision when the appropriate fit between Opus, Sonnet, and Haiku is ambiguous.

Does the model selection process handle ambiguous task descriptions?▼

Yes, the model selection process handles ambiguous task descriptions by returning a fixed decision format that includes escalation, ensuring you do not commit to the wrong model when the task fit is unclear.

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