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Abildtoft
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kramme:review-pr:team

Orchestrate a team of AI reviewers to cross-validate PR findings.

2|2|Updated Jan 15, 2026
Search Tags:#automation#workflow#agent#review#PR#code-review#team
One-click install
npx skills add https://github.com/Abildtoft/kramme-cc-workflow --skill kramme-review-pr-team
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: kramme:review-pr:team
Source: https://github.com/Abildtoft/kramme-cc-workflow/tree/main/skills/kramme%3Areview-pr%3Ateam
Command: npx skills add https://github.com/Abildtoft/kramme-cc-workflow --skill kramme-review-pr-team

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines and enhances PR reviews by coordinating a team of AI reviewers that cross-validate findings, surface issues faster, and reduce bias or missed edge cases.

Core Features & Use Cases

  • Team orchestration: Spawn a named review team and assign specialized AI reviewers based on PR components.
  • Cross-review & aggregation: Collect findings from all teammates and synthesize an integrated REVIEW_OVERVIEW.md.
  • Conditional deployment: Dynamically spawn reviewers based on PR changes (code, tests, docs) to optimize cost.

Quick Start

Run the team-based PR review workflow: /kramme:review-pr:team /kramme:review-pr:team code errors tests

Frequently Asked Questions about kramme:review-pr:team

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

FAQPage Schema
How do I run an AI agent team-based PR review?▼

To run a team-based PR review, execute the /kramme:review-pr:team command. This orchestrates specialized AI reviewers to cross-validate findings across code, tests, documentation, and design notes.

How does conditional agent deployment work for PR reviews?▼

Conditional agent deployment dynamically spawns specialized reviewer agents based on PR diffs. By analyzing changes in code, tests, or docs, it optimizes costs by only deploying necessary agents.

Can I use multiple AI agents to review complex pull requests?▼

Yes, you can use multiple AI agents to review complex pull requests. The team orchestration feature spawns a named review team and assigns specialized reviewers to provide multiple perspectives.

What is the best way to aggregate AI code review findings?▼

The best way to aggregate AI code review findings is through cross-review and aggregation. This collects findings from all teammates and synthesizes an integrated REVIEW_OVERVIEW.md file.

When should I use a team-based AI review instead of a single agent?▼

You should use a team-based AI review for large or complex PRs where multiple perspectives are beneficial. It helps surface issues faster and reduces bias or missed edge cases compared to single-agent reviews.

Do I need to specify review areas when starting the AI agent team?▼

No, you do not need to specify review areas, but you can. Running /kramme:review-pr:team works alone, or you can append arguments like code errors tests to target specific review aspects.

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