minion-orchestrator

Orchestrate durable background tasks and LLM subagent workflows in a Postgres-native job queue.

45|11|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/beyonai/ByClaw --skill minion-orchestrator-beyonai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: minion-orchestrator
Source: https://github.com/beyonai/ByClaw/tree/main/middleware/openclaw/skills/gbrain/references/minion-orchestrator
Command: npx skills add https://github.com/beyonai/ByClaw --skill minion-orchestrator-beyonai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill solves the challenge of managing long-running, complex, or parallel tasks that require durability across system restarts and observability for enterprise-grade workflows.

Core Features & Use Cases

  • Unified Job Queue: Manages both deterministic shell scripts and LLM-driven subagent reasoning loops in a single, Postgres-backed interface.
  • Steerable Execution: Allows real-time intervention, pausing, resuming, and message-based steering of running agents.
  • Use Case: Use this to spawn a complex research subagent that performs parallel web searches and data synthesis, while maintaining the ability to pause or redirect the agent mid-flight if the research direction changes.

Quick Start

Submit a new background subagent job to research the latest market trends for the specified company by invoking the gbrain agent run command.

Frequently Asked Questions about minion-orchestrator

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

FAQPage Schema
How do I orchestrate long-running LLM subagent workflows that survive system restarts?▼

You can orchestrate durable background tasks and LLM subagent workflows within a Postgres-native job queue. This provides persistent state management, ensuring complex multi-step reasoning agents survive system restarts.

Can I pause or redirect a running background agent mid-flight?▼

Yes, steerable execution allows real-time intervention for running agents. You can pause, resume, or redirect a background agent mid-flight using message-based steering if the research direction changes.

What's the best way to manage deterministic shell scripts and LLM-driven reasoning loops together?▼

Using a unified job queue backed by Postgres allows you to manage both deterministic shell command execution and complex LLM-driven subagent reasoning loops within a single, native interface.

Does background job orchestration support fan-out capabilities for parallel web searches?▼

Yes, background job orchestration supports fan-out capabilities for complex multi-step reasoning agents. This allows you to spawn a research subagent that performs parallel web searches and data synthesis.

Why do I need a Postgres-native job queue for enterprise automation?▼

A Postgres-native job queue provides durable state management, progress tracking, and observability for enterprise-grade automation. This ensures long-running, parallel tasks maintain durability and tracking across complex workflows.

How do I track progress for background tasks and subagent workflows?▼

The orchestration interface provides persistent state management and progress tracking for both deterministic shell scripts and LLM subagent workflows. This ensures full observability for enterprise-grade background jobs.