#code review assistant#code review ai assistant#ai-powered code review assistant#pull request review#merge checks

Requesting Code Review

Independent PiSkill directory guide. The original skill remains hosted by Superpowers.

What is Requesting Code Review?

Structures code-review requests around the actual implementation, requirements, and git diff so issues can be caught before they reach the main branch.

What does Requesting Code Review do?

Requesting Code Review is a Superpowers skill for preparing a review request with enough context for another reviewer or agent to evaluate the actual change. It connects the implementation, requirements and relevant git diff so feedback can focus on correctness and risk rather than guessing what the code was meant to do.

Who is Requesting Code Review best for?

  • Developers requesting AI-assisted review before merge
  • Teams using subagents for independent code review
  • Engineers preparing a focused pull-request review
  • Workflows that separate implementation from verification

Common use cases

  • Ask a reviewer to compare a change with its requirements
  • Review a specific commit range before merge
  • Catch issues before moving to the next implementation task
  • Provide code context without dumping an entire repository

How does Requesting Code Review work?

The skill identifies the implemented task, requirements and commit range, then dispatches or prepares a focused review request around that scope. It is commonly paired with staged development workflows where review happens at defined checkpoints rather than only at the end.

Key benefits

  • Gives reviewers the intent and change scope they need
  • Supports independent verification in agent workflows
  • Makes review more repeatable between tasks
  • Reduces low-value feedback caused by missing context

Things to know

  • A well-structured request does not guarantee a high-quality review
  • The reviewer still needs appropriate repository and requirement context
  • Very large changes may need to be split into smaller reviewable units

Compatible tools

Claude CodeOpenAI CodexGitHub CopilotGemini CLI

Frequently asked questions

What information should an AI code review request include?
It should include what was implemented, the relevant requirements or plan and the code or commit range that changed.
When should this skill be used?
It is useful before merge and at meaningful implementation checkpoints where independent review can catch issues early.
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