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distributed-gummy

Coordinate gummy-agent tasks across a distributed Tailscale network using the dw command suite.

5|2|Updated Oct 20, 2025
Search Tags:#automation#orchestrator#load-balancing#gummy#dw#multihost
One-click install
npx skills add https://github.com/Human-Frontier-Labs-Inc/human-frontier-labs-marketplace --skill distributed-gummy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: distributed-gummy
Source: https://github.com/Human-Frontier-Labs-Inc/human-frontier-labs-marketplace/tree/main/plugins/distributed-gummy-orchestrator
Command: npx skills add https://github.com/Human-Frontier-Labs-Inc/human-frontier-labs-marketplace --skill distributed-gummy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires dw, gummy-agent, dwsync, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Orchestrate gummy-agents across a distributed network using the dw command for load-balanced AI development.

Core Features & Use Cases

  • Load-balanced execution via dw
  • Parallel distribution and group-based work
  • Network-wide monitoring of gummies and specialists
  • Sync code and run gummy tasks across hosts

Quick Start

Install and configure the dw tool and gummy-agent; run orchestrate_gummy.py to coordinate tasks across hosts.

Frequently Asked Questions about distributed-gummy

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

FAQPage Schema
How do I distribute gummy-agent tasks across multiple hosts with load balancing?▼

Load-balanced task distribution across hosts uses the dw command suite to coordinate gummy-agent execution. The dw orchestrator analyzes host load via 'dw load', selects optimal hosts (least loaded or best-fit), and executes tasks in parallel across your Tailscale network while synchronizing code via 'dw sync'.

Can I run gummy agents on a distributed network without manual host assignment?▼

Yes. Distributed orchestration automatically selects hosts based on load analysis and availability. The dw command handles optimal-host selection, parallel task routing, and result aggregation across your multi-host setup, eliminating manual assignment.

What's required to set up load-balanced AI development across multiple hosts?▼

Install the dw tool, gummy-agent, and dwsync on each host connected via Tailscale. Configure dw to recognize your network, then run orchestrate_gummy.py to coordinate task distribution, monitor host status, and synchronize code across the distributed environment.

How do I monitor and coordinate database, API, and testing workloads across hosts?▼

The dw command suite provides network-wide monitoring via 'dw status', load analysis via 'dw load', and remote execution via 'dw run'. Specialist monitoring tracks each workload type across hosts while parallel orchestration aggregates results from coordinated database, API, frontend, and testing tasks.

Does distributed gummy orchestration work with existing Tailscale networks?▼

Yes. The orchestrator is built for Tailscale networks, enabling task distribution and specialist monitoring across your existing infrastructure. Code synchronization via 'dw sync' and coordinated execution via 'dw run' operate natively within Tailscale connectivity.

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