aether-agents-orchestration

Optimizes Aether Agents multi-Daimon orchestration workflows and resolves common failure points.

3|Updated Apr 21, 2026
One-click install
npx skills add https://github.com/DarkArty07/Aether-Agents --skill aether-agents-orchestration
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aether-agents-orchestration
Source: https://github.com/DarkArty07/Aether-Agents/tree/main/home/skills/autonomous-ai-agents/aether-agents-orchestration
Command: npx skills add https://github.com/DarkArty07/Aether-Agents --skill aether-agents-orchestration

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill eliminates common failures in Aether Agents multi-Daimon workflows, including lost delegation sessions from timeouts, permanent data loss from Docker miscommands, silent MCP server failures from missing environment variables, and wasted compute from poor orchestration choices.

Core Features & Use Cases

  • Delegation Patterns: Clear guidance on when to use blocking vs background delegation for Daimon tasks, how to implement silent monitoring for long-running work, and how to avoid timeout-related session loss.
  • Operational Pitfall Recovery: Step-by-step fixes for Docker port conflicts, orphaned docker-proxy processes, missing MCP server configuration in config.yaml, and gateway environment variable injection issues.
  • Cost Optimization: Validated, tested strategies to reduce LLM costs including model-tier separation, Daimon toolset trimming, and SOUL compression without breaking interactive user experience.
  • Use Case: Imagine you delegated a 5-phase implementation to Hefesto that timed out after 2 phases. Use this Skill to recover partial progress, resume the remaining work, and avoid repeating the same timeout mistake in future delegations.

Quick Start

Use the aether-agents-orchestration skill to delegate a multi-phase coding task to Hefesto in the background, set up silent polling for completion, and verify the output matches your acceptance criteria without manual file checks.

Frequently Asked Questions about aether-agents-orchestration

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

FAQPage Schema
How do I recover a Daimon delegation session that timed out during a multi-phase task?

To recover a timed-out Daimon delegation session, you can resume the remaining work from the last completed phase without manual file checks. This skill provides validated patterns to avoid repeating timeout mistakes and retrieve lost background progress.

What's the best way to monitor long-running background tasks in hermes-agent workflows?

The best way to monitor long-running background tasks is implementing silent polling for completion. This skill provides patterns for background delegation and silent monitoring to verify outputs against acceptance criteria automatically.

How do I fix orphaned docker-proxy processes and port conflicts when managing Aether Agents?

Fix orphaned docker-proxy processes and port conflicts by applying step-by-step operational pitfall recovery procedures. This skill resolves Docker service management issues and config drift in multi-Daimon orchestration environments.

Why are my MCP servers failing silently due to missing environment variables?

MCP servers fail silently when gateway environment variable injection is incomplete or missing in config.yaml. This skill provides configuration patterns to inject required variables and prevent silent server failures.

Can I reduce LLM costs in multi-agent systems without breaking the interactive user experience?

Yes, you can reduce LLM costs through model-tier separation, Daimon toolset trimming, and SOUL compression. This skill offers tested cost optimization strategies that maintain interactive responsiveness in hermes-agent workflows.

When should I use blocking versus background delegation for Daimon tasks?

Use blocking delegation for short, synchronous tasks and background delegation for long-running work to prevent session loss. This skill provides clear guidance on choosing the correct delegation pattern based on task duration.