code-review-pipeline

Coordinate multi-agent code-review audits across pull requests and local codebases.

1|Updated Apr 14, 2026
One-click install
npx skills add https://github.com/bhanford9/vs-code-copilot-tools --skill code-review-pipeline-bhanford9
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-review-pipeline
Source: https://github.com/bhanford9/vs-code-copilot-tools/tree/main/skills/code-review-pipeline
Command: npx skills add https://github.com/bhanford9/vs-code-copilot-tools --skill code-review-pipeline-bhanford9

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates and standardizes code-review workflows by coordinating a multi-agent auditing process to ensure thorough evaluation of changes.

Core Features & Use Cases

  • 8-agent architecture covering requirements, correctness, test coverage, maintainability, testability, performance, and extensibility, plus an orchestrator and final synthesizer.
  • Sequential audit phase followed by parallel audits to accelerate reviews while preserving rigor.
  • Invoked via slash commands such as /ReviewLocal and /PrepareCommitReview, with per-auditor Lessons Learned logs guiding improvements.

Quick Start

Run the /ReviewLocal command to start a local code-review session and load the standard multi-agent audit workflow.

Frequently Asked Questions about code-review-pipeline

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

FAQPage Schema
How do I automate multi-agent code reviews for pull requests?

Multi-agent code review automation coordinates an orchestrator and multiple auditor agents to evaluate code changes. This architecture runs sequential audits for requirements and correctness, followed by parallel evaluations of quality dimensions to ensure thorough evaluation.

How does a multi-agent code review pipeline structure its auditing workflow?

The multi-agent code review pipeline structures its workflow using a fixed architecture of an orchestrator, seven auditors, and a final synthesizer. It executes sequential audits for requirements and correctness first, then runs parallel evaluations across quality dimensions.

What is the best way to standardize local code reviews across diverse codebases?

Standardize local code reviews by running the /ReviewLocal command to load a fixed multi-agent audit workflow. This process applies sequential and parallel auditing phases to evaluate requirements, correctness, test coverage, maintainability, and performance consistently.

Can I use automated code review auditing for local changes before committing?

Yes, you can use automated code review auditing for local changes before committing by running the /ReviewLocal slash command. This initiates a session applying the standard multi-agent audit workflow to evaluate your uncommitted codebase modifications.

What code quality dimensions does an automated multi-agent review pipeline evaluate?

An automated multi-agent review pipeline evaluates code quality dimensions including test coverage, maintainability, testability, performance, and extensibility. These dimensions are assessed in parallel during the auditing process following the initial sequential requirements and correctness checks.

How do per-auditor Lessons Learned patterns improve automated code review workflows?

Per-auditor Lessons Learned patterns improve automated code review workflows by capturing continuous improvement insights within each auditor agent. This enables the multi-agent architecture to refine its sequential and parallel auditing evaluations over successive code reviews.