panel

Automate multi-agent pull request review via a scripted state machine.

3|2|Updated May 12, 2026
One-click install
npx skills add https://github.com/kriscendobot/garden --skill panel-kriscendobot
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: panel
Source: https://github.com/kriscendobot/garden/tree/main/skills/panel
Command: npx skills add https://github.com/kriscendobot/garden --skill panel-kriscendobot

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires gh, bash, and includes scripts (resource) components.

What problem does it solve?

This Skill automates the complex, multi-stage review process for pull requests, replacing manual oversight with a deterministic, agent-driven jury panel that ensures consistent code quality and design standards.

Core Features & Use Cases

  • Automated Jury Panel: Dispatches a configurable list of specialized agents to review code or design changes concurrently.
  • Stateful Review Loop: Manages the lifecycle of a PR, including iterative fixer rounds, disposition decisions, and final appellate passes.
  • Use Case: A developer submits a large PR; the panel automatically triggers a 28-seat code review, iterates on feedback until the code passes, and un-drafts the PR once all requirements are met.

Quick Start

Invoke the panel script by providing the worktree path and the pull request number to initiate the automated review gauntlet.

Frequently Asked Questions about panel

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

FAQPage Schema
How do I automate multi-agent pull request review on GitHub?

Automated multi-agent pull request review is handled by dispatching configurable specialized agents to evaluate code changes concurrently. A scripted state machine coordinates iterative fixer rounds and final appellate dispositions to ensure consistent quality.

What is a stateful review loop for PR validation?

A stateful review loop manages the entire lifecycle of a pull request through a scripted state machine. It tracks iterative fixer rounds, disposition decisions, and final appellate passes until all review requirements pass.

Do I need the GitHub CLI to run an automated PR review gauntlet?

Yes, you need the GitHub CLI and a bash shell environment to execute the automated PR review gauntlet. You invoke the panel script by providing the local worktree path and the specific pull request number.

Can I use agent-driven workflows to un-draft large pull requests automatically?

Yes, agent-driven workflows can trigger a multi-seat code review, iterate on feedback until the code passes validation, and automatically un-draft large pull requests once all assigned juror requirements are met.

What's the best way to coordinate concurrent juror agents for code review?

The best way to coordinate concurrent juror agents is through a scripted state machine that manages simultaneous dispatch. This deterministic approach replaces manual oversight with consistent, automated validation for code and design changes.

When should I not use an automated jury panel for code review?

You should not use an automated jury panel if you lack a configured bash shell environment with GitHub CLI access. The state machine requires pre-configured agent roles to execute the concurrent juror dispatch and iterative fixer loops.