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analyze

Analyze code via the pair-review MCP server with configurable tiers.

48|18|Updated Aug 30, 2025
Search Tags:#code quality#developer tools#code review#mcp#ai analysis#pair-review
One-click install
npx skills add https://github.com/in-the-loop-labs/pair-review --skill analyze-in-the-loop-labs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analyze
Source: https://github.com/in-the-loop-labs/pair-review/tree/main/plugin/skills/analyze
Command: npx skills add https://github.com/in-the-loop-labs/pair-review --skill analyze-in-the-loop-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates in-depth code review analysis, identifying potential issues and providing actionable suggestions to improve code quality and security.

Core Features & Use Cases

  • Server-Side Analysis: Leverages the pair-review MCP server for comprehensive code analysis.
  • Tiered Analysis: Supports different analysis depths (fast, balanced, thorough) to suit review needs.
  • Use Case: When you've generated code with an AI agent, use this Skill to perform a thorough review, ensuring quality and catching potential bugs before they are committed.

Quick Start

Use the analyze skill to run a balanced server-side analysis on your current local changes.

Frequently Asked Questions about analyze

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

FAQPage Schema
How do I run an AI-powered code review analysis on local changes?▼

AI-powered code review analysis on local changes is executed via the pair-review MCP server, which starts the process, polls for completion, and fetches curated suggestions. You can select analysis tiers like fast, balanced, or thorough to match your review needs.

Can I customize AI code review instructions for pull requests?▼

Custom instructions are supported for pull request code review analysis to tailor the output to your specific project requirements. The Skill leverages the pair-review MCP server to apply these instructions and fetch curated suggestions for your PR.

What is the best way to review AI-generated code for quality and security?▼

Reviewing AI-generated code for quality and security is best handled by running a thorough tier analysis to catch potential bugs. This automated code review process identifies issues and provides actionable suggestions before code is committed.

Do I need an MCP connection to perform automated code review analysis?▼

An MCP connection is required to perform automated code review analysis, as the process depends on specific tool availability within the pair-review MCP server. This connection enables starting the analysis, polling for completion, and fetching suggestions.

Does server-side code analysis support different review depths?▼

Server-side code analysis supports configurable tiers including fast, balanced, and thorough depths to suit various review needs. These tiers allow you to balance analysis speed against the depth of code quality and security checks.

What are the limitations of using MCP for code review analysis?▼

Limitations of using MCP for code review analysis include a strict dependency on specific tool availability to start, poll, and fetch curated suggestions. If the required pair-review MCP server connection is unavailable, the analysis cannot execute.

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