What is the benefit of reviewing after every individual task?

Frequent reviews catch logical errors and architectural mismatches early, preventing small mistakes from compounding and becoming more difficult to fix later.

Can I challenge the feedback provided by the AI reviewer?

Yes, the skill encourages technical dialogue. If the reviewer is incorrect, you are instructed to push back with technical reasoning or code evidence to clarify the implementation.

How does this skill use git SHAs for reviews?

The skill uses git commands to identify the range of changes (BASE_SHA to HEAD_SHA) that represent a specific task or feature, allowing the AI subagent to focus exclusively on relevant code.

Does this skill work with existing project documentation?

Absolutely. It is designed to compare implemented code against existing documentation, such as deployment plans, requirement files, or task lists.

AI Code Review Orchestrator

Name: AI Code Review Orchestrator
Author: franroa

byfranroa

Collaboration Tools

Automates the dispatching of specialized AI subagents to perform deep code reviews against requirements and git history.

About

The Requesting Code Review skill provides a standardized framework for automating the peer review process within your development workflow. By leveraging the superpowers:code-reviewer subagent, it analyzes specific code changes between git SHAs against your original plans or requirements. This ensures that every task in a subagent-driven development cycle is verified for architectural integrity, requirement fulfillment, and code quality before merging to main, effectively catching critical issues before they cascade into larger problems.

Key Features

Automated git SHA extraction for precise implementation analysis
Standardized templates for consistent review requests
0 GitHub stars
Subagent-driven reviews mapped directly to project requirements
Categorized feedback loops for critical, important, and minor issues
Workflow integration for subagent-driven development and ad-hoc tasks

Use Cases

Gaining a fresh technical perspective when stuck on complex bug fixes or refactoring
Performing pre-merge audits of major features to ensure alignment with documentation
Verifying task completion in subagent-driven development cycles to prevent technical debt

About

Key Features

Automated git SHA extraction for precise implementation analysis
Standardized templates for consistent review requests
0 GitHub stars
Subagent-driven reviews mapped directly to project requirements
Categorized feedback loops for critical, important, and minor issues
Workflow integration for subagent-driven development and ad-hoc tasks

Use Cases

Gaining a fresh technical perspective when stuck on complex bug fixes or refactoring
Performing pre-merge audits of major features to ensure alignment with documentation
Verifying task completion in subagent-driven development cycles to prevent technical debt