How does the skill handle large codebases or timeouts?

It includes a multi-stage failure recovery system that narrows the focus to only changed files or splits the review into smaller logical groups if context limits are reached.

What happens if the code reviewer finds issues?

The skill automatically dispatches a bug-fixing subagent to resolve the issues and then triggers a re-review to verify the fix, repeating this cycle until all issues are resolved.

Is this skill mandatory for every task?

While it is designed for mandatory use after major features or task execution, it can also be used ad-hoc when you are stuck or need a fresh perspective on a complex bug.

How does it track whether issues are actually fixed?

The skill tracks prior issues across cycles; an issue is only removed when the reviewer explicitly confirms it is resolved. Silence from the reviewer is not treated as a fix.

Automated Code Review Loop

Name: Automated Code Review Loop
Author: ed3dai

byed3dai

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Collaboration Tools

Orchestrates a continuous review-fix-verify cycle using specialized subagents to ensure code quality and requirement adherence.

About

The requesting-code-review skill implements a robust quality assurance workflow by dispatching a dedicated code-reviewer subagent to catch issues before they propagate. Unlike standard linting, this skill manages a recursive loop: it identifies technical issues, dispatches a bug-fixer subagent to apply corrections, and re-reviews the results until zero issues remain. By utilizing Git SHAs for precise diff analysis and including built-in handling for timeouts and context limits, it provides a reliable gate for task completion and branch merging in complex development environments.

Key Features

Persistent issue tracking across multiple re-review cycles
Precise Git-based diff analysis using BASE and HEAD SHAs
Subagent delegation for specialized reviewing and fixing tasks
Automated review-fix-verify loop orchestration
Smart retry logic with context-aware scope narrowing
45 GitHub stars

Use Cases

Verifying individual task completion during complex feature implementation
Automating quality gates before merging development branches into main
Performing baseline checks and regression testing during major refactoring

About

Key Features

Persistent issue tracking across multiple re-review cycles
Precise Git-based diff analysis using BASE and HEAD SHAs
Subagent delegation for specialized reviewing and fixing tasks
Automated review-fix-verify loop orchestration
Smart retry logic with context-aware scope narrowing
45 GitHub stars

Use Cases

Verifying individual task completion during complex feature implementation
Automating quality gates before merging development branches into main
Performing baseline checks and regression testing during major refactoring