code-reviewer
๐ฏSkillfrom shubhamsaboo/awesome-llm-apps
|A curated collection of awesome LLM applications with skills for building AI-powered apps, covering RAG, agents, and various use cases.
Overview
Code Reviewer is a skill from the Awesome LLM Apps collection, a curated repository of LLM-powered applications built with RAG, AI Agents, multi-agent teams, MCP, and voice agents. It provides AI-assisted code review capabilities using models from OpenAI, Anthropic, Google, xAI, and open-source alternatives like Qwen and Llama.
Key Features
- Multi-Model Support - Works with models from OpenAI, Anthropic, Google, xAI, and open-source models including Qwen and Llama that can run locally
- AI Agent Architecture - Built using AI agent patterns including RAG, multi-agent teams, and MCP for comprehensive code analysis
- Practical Examples - Part of a curated collection of well-documented LLM applications demonstrating real-world code review patterns
- Cross-Domain Coverage - The broader collection covers code repositories, email analysis, voice agents, and more, providing diverse AI application patterns
- Open Source - Fully open-source with community contributions, providing practical learning resources for building LLM-powered tools
Who is this for?
This skill is designed for developers who want to implement AI-powered code review in their workflow using various LLM providers. It is ideal for teams exploring LLM applications for code quality improvement and for developers learning how to build AI-assisted development tools.
Same repository
shubhamsaboo/awesome-llm-apps(20 items)
Installation
npx vibeindex add shubhamsaboo/awesome-llm-apps --skill code-reviewernpx skills add shubhamsaboo/awesome-llm-apps --skill code-reviewer~/.claude/skills/code-reviewer/SKILL.mdSKILL.md
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