proletariat

Manage AI coding agents and workflows in isolated environments via CLI.

35|2|Updated Jul 30, 2025
One-click install
npx skills add https://github.com/chrismcdermut/proletariat --skill proletariat
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: proletariat
Source: https://github.com/chrismcdermut/proletariat/tree/main/skills/openclaw
Command: npx skills add https://github.com/chrismcdermut/proletariat --skill proletariat

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies the management of multiple AI-driven coding agents by providing a comprehensive CLI for spawning, monitoring, and controlling isolated work environments, thereby enhancing productivity and coordination.

Core Features & Use Cases

  • Agent Lifecycle Management: Start, stop, propose, and complete agents working on development tickets within isolated git worktrees or Docker containers.
  • Session Monitoring: List, attach, peek, and communicate with active agent sessions for real-time oversight and guidance.
  • Ticket Organization: Create, list, and move tickets between states to facilitate structured task flow.
  • Pull Request Automation: Generate review requests and verify CI status programmatically, integrating seamlessly with existing version control workflows.
  • Use Case: A developer can initiate an agent to work on a feature ticket, monitor its progress, communicate instructions, and automatically ship completed work with minimal manual intervention.

Quick Start

Install the tool using the recommended command, then create a new workspace, generate a ticket, spawn an agent for it, and monitor progress through the CLI and interactive sessions.

Frequently Asked Questions about proletariat

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

FAQPage Schema
How do I orchestrate multiple AI coding agents in isolated environments?

You orchestrate isolated AI coding agents using a CLI to spawn, monitor, and control work environments within git worktrees or Docker containers, ensuring coordinated and reproducible development workflows.

What's the best way to manage AI agent sessions for software development tickets?

Managing AI agent sessions involves listing, attaching, peeking, and communicating with active instances to provide real-time oversight and guidance for agents working on development tickets.

Can I integrate AI coding agents with my existing CI/CD pipelines and git workflow?

Yes, you can integrate AI coding agents with CI/CD pipelines by programmatically generating pull request review requests and verifying CI status to automate shipping completed work.

How do I track and organize development tickets for AI agents?

You organize development tickets for AI agents by creating, listing, and moving them between states, which facilitates structured task flow and coordinated software development.

Does this AI agent orchestration tool require Docker to run isolated work environments?

No, Docker is not strictly required; you can manage isolated agent work environments using either git worktrees or Docker containers to ensure safe and structured interactions.

Why use isolated environments for coordinating AI coding agents?

Isolated environments ensure safe, reproducible, and structured agent interactions by preventing conflicts between concurrent development tasks and enhancing overall coordination efficiency.