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review-model-guidance

Official

Intelligent model selection for code review.

Software Engineering#code review#task optimization#llm#model selection#subtasks#ai models
Authorin-the-loop-labs
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps users select the most appropriate AI model for different code review tasks, optimizing for cost and performance by matching model capabilities to task complexity.

Core Features & Use Cases

  • Model Selection Guidance: Provides heuristics for choosing between balanced, deep reasoning, and code generation models based on task type (e.g., architectural analysis, bug finding, code generation).
  • Cost Optimization: Explicitly forbids prohibitively expensive models and suggests cost-effective alternatives.
  • Subtask Strategy: Details how to leverage parallel subtasks with per-task model selection for complex reviews.
  • Use Case: When reviewing a complex architectural change, use this skill to guide the selection of a deep reasoning model like anthropic/claude-opus-4-6 for nuanced analysis, while a simpler bug-finding task might use openai/o3.

Quick Start

Use the review-model-guidance skill to get advice on selecting the best model for analyzing security implications in a code diff.

Dependency Matrix

Required Modules

None required

Components

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: review-model-guidance
Download link: https://github.com/in-the-loop-labs/pair-review/archive/main.zip#review-model-guidance

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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