cross-model-reviewer
CommunityEnsure code quality with multi-model review for different perspectives.
AuthorhaJ1t
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the issue of potential biases and blind spots in AI-generated code by implementing a review loop with two different AI models from different providers.
Core Features & Use Cases
- Cross-Provider Review: Utilizes different AI models to review code, ensuring varied perspectives and reducing systematic errors.
- Doer-Reviewer Pattern: One AI model writes the code, while another reviews it, following a structured process to catch issues missed by the first model.
- Use Case: Ideal for critical production code, high-security modules, or when human reviewers are unavailable, reducing the risk of errors and improving code quality.
Quick Start
Run the cross-model-reviewer skill with your code and specify the reviewing model from a different provider.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 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: cross-model-reviewer Download link: https://github.com/haJ1t/senior-dev-squad-skills/archive/main.zip#cross-model-reviewer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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