full-code-review

Orchestrate six parallel specialized code reviewers into a single verified report.

Updated Mar 16, 2026
One-click install
npx skills add https://github.com/liminal-ai/code-steward --skill full-code-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: full-code-review
Source: https://github.com/liminal-ai/code-steward/tree/main/.claude/plugins/code-steward-reviews/skills/full-code-review
Command: npx skills add https://github.com/liminal-ai/code-steward --skill full-code-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrate a comprehensive multi-pass code review by coordinating six specialized reviewers to surface diverse findings and deliver a single verified report.

Core Features & Use Cases

  • Orchestrates six specialized review types (standard, security, performance, architecture, test-coverage, silent-failure) in parallel and synthesizes results into a unified report.
  • Supports all scope modes: PRs, uncommitted changes, branch-vs-branch comparisons, and ad-hoc file or directory reviews.
  • Use Case: Review a feature branch against main to surface issues across multiple domains and deliver a consolidated report.
  • Explicitly delegates code review to subagents; it coordinates the workflow and delivers a comprehensive result.

Quick Start

Launch a full-code-review to orchestrate all six reviewers and generate the final report.

Frequently Asked Questions about full-code-review

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

FAQPage Schema
How do I run a comprehensive code review on a feature branch against main?

You can run a comprehensive code review on a feature branch against main by orchestrating six specialized parallel subagents that analyze standard, security, performance, architecture, test-coverage, and silent-failure domains, synthesizing their findings into one verified report.

How does multi-agent code review work for uncommitted local changes?

Multi-agent code review for uncommitted local changes works by launching six parallel specialized reviewers that independently assess different quality dimensions, then synthesizing their comparative analysis and issue assessments into a single unified report.

Can I review specific files or directories instead of an entire pull request?

Yes, you can review specific files or directories ad-hoc instead of an entire pull request, as the review scope detection supports branch-vs-branch comparisons, uncommitted changes, and targeted directory analysis using the same parallel subagent methodology.

What is the best way to detect silent failures during a pull request review?

The best way to detect silent failures during a pull request review is to use a dedicated silent-failure subagent that runs in parallel alongside standard, security, performance, architecture, and test-coverage reviewers to surface hidden execution issues.

What distinguishes parallel subagent code review from a standard single-pass review?

Parallel subagent code review distinguishes itself from a standard single-pass review by executing six specialized reviewers simultaneously across different domains, then synthesizing the multi-pass findings into a single verified report to surface diverse architectural and security issues.