plan-executor:run-reviewer-team-non-interactive

Coordinates multiple AI code reviewers via file prompts for automated analysis and triage.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/andreas-pohl-parloa/plan-executor-plugin --skill plan-executor-run-reviewer-team-non-interactive
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: plan-executor:run-reviewer-team-non-interactive
Source: https://github.com/andreas-pohl-parloa/plan-executor-plugin/tree/main/plugins/plan-executor/skills/run-reviewer-team-non-interactive
Command: npx skills add https://github.com/andreas-pohl-parloa/plan-executor-plugin --skill plan-executor-run-reviewer-team-non-interactive

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

It streamlines code review by coordinating multiple AI reviewers through file-based prompts, removing manual agent management.

Core Features & Use Cases

  • Multi-Reviewer Automation: Dispatches Claude, Codex, Gemini, and security reviewers autonomously.
  • Handoff Coordination: Uses prompt files and orchestrator sidecars to manage reviewer outputs.
  • Use Case: Automate secure, consistent code reviews on pull requests without manual agent execution.

Quick Start

Write prompt files for each reviewer, then dispatch them to your AI agents and re-invoke the orchestrator in triage mode to process results.

Frequently Asked Questions about plan-executor:run-reviewer-team-non-interactive

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

FAQPage Schema
How do I automate multi-reviewer code analysis for pull requests?

Automating multi-reviewer code analysis is done by dispatching AI agents like Claude, Codex, and Gemini using file-based prompts. This coordinates multiple reviewers autonomously, removing manual agent management for consistent pull request triage.

What is file handoff orchestration for AI code reviewers?

File handoff orchestration uses prompt files and orchestrator sidecars to manage AI reviewer outputs. It enables remote orchestration and secure handling of results by routing instructions and findings between agents without direct integration.

How do I set up multi-agent synchronization for automated code reviews?

Set up multi-agent synchronization by writing prompt files for each AI reviewer, dispatching them to your agents, and re-invoking the orchestrator in triage mode. This securely processes results and meets multi-agent synchronization requirements.

Can I use multiple AI security reviewers without manual agent execution?

Yes, you can dispatch multiple AI security reviewers without manual execution by using an orchestrator sidecar. It coordinates the reviewers through file prompts to ensure secure and consistent code analysis automatically.

What are the limitations of non-interactive code review orchestration?

Non-interactive code review orchestration requires writing and managing individual prompt files for each reviewer and relies on re-invoking the orchestrator in triage mode to process findings, meaning it does not support real-time interactive agent feedback.