skills.rest
lorrandavid
lorrandavidCOMMUNITY
Explore all skills by this author →
GitHub

code-review

Coordinate parallel code-review subagents and correlate findings into a prioritized report.

Updated Feb 7, 2026
Search Tags:#subagents#code-review#pull-request#parallel-review#distributed-analysis#oracle-review
One-click install
npx skills add https://github.com/lorrandavid/.dotfiles --skill code-review-lorrandavid
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/lorrandavid/.dotfiles/tree/main/.config/.copilot/skills/code-review
Command: npx skills add https://github.com/lorrandavid/.dotfiles --skill code-review-lorrandavid

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinate multi-agent code review workflow that coordinates parallel subagents to analyze changes, surface issues, and deliver a prioritized summary for faster and more reliable merges.

Core Features & Use Cases

  • Parallel subagent reviews of code changes (two or more reviewers) and correlation of findings into a severity-ranked report.
  • Oracle-assisted validation to verify findings, assess overall architecture, and ensure accuracy.
  • PR/MR readiness support by defaulting to uncommitted changes and handling review in PR/MR contexts.

Quick Start

Request a parallel code-review run on the latest commit or PR and generate a prioritized findings summary.

Frequently Asked Questions about code-review

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

FAQPage Schema
How do I run a multi-agent code review on a pull request?▼

To run a multi-agent code review on a pull request, coordinate specialized subagents to analyze changes in parallel and correlate their findings into a severity-ranked, prioritized report.

What is parallel code review and how does it work with subagents?▼

Parallel code review uses subagents to analyze code changes simultaneously. An oracle subagent provides deep validation, verifying findings and assessing architecture to ensure review accuracy.

Can I use automated code review on uncommitted changes?▼

Yes, automated code review defaults to uncommitted changes to support PR/MR readiness. It examines specific code paths and changes, focusing on areas of concern.

Does multi-agent code review prevent prompt injection?▼

Yes, multi-agent code review ensures safe prompt handling by delegating tasks to subagents without exposing sensitive data or enabling prompt injection during orchestration.

What is the best way to prioritize code review findings?▼

The best way to prioritize code review findings is to correlate parallel subagent results into a severity-ranked report, validated by an oracle subagent for deep architectural accuracy.

Are there limitations to using distributed analysis for code review?▼

Limitations of distributed analysis for code review depend on deterministic orchestration. The system focuses specifically on commits, pull requests, and diffs, requiring defined code paths for analysis.

Related Skills

Explore More Software Engineering Skills→
TimoFreibergTimoFreiberg
2

review

Analyze code changes from uncommitted work, commits, branches, and GitHub Pull Requests.

Community
Intermediate
AppsVortexAppsVortex
31

arn-code-review-pr

Automate PR feedback review and validation across GitHub and Bitbucket.

Official
Advanced
InverterNetworkInverterNetwork

requesting-code-review

Automates pre-commit code verification through static security analysis, linting, and independent review.

Official
Advanced
slbugslbug
7

rb:review

Analyze changed Ruby/Rails/Grape code and generate a structured multi-agent review.

Community
Advanced