harmonia

Orchestrate multiple Abraxas skills into unified workflows with state handoff and conflict detection.

4|2|Updated Dec 31, 2025

Search Tags:#workflow #state management #orchestration #composition #conflict detection #skill integration

Ready to run

npx skills add https://github.com/TylerGarlick/abraxas --skill harmonia

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: harmonia
Source: https://github.com/TylerGarlick/abraxas/tree/main/skills/harmonia
Command: npx skills add https://github.com/TylerGarlick/abraxas --skill harmonia

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of isolated AI skills by providing a framework to compose them into unified, multi-step workflows with seamless state handoff and conflict detection.

Core Features & Use Cases

Workflow Definition: Define complex sequences, parallel executions, conditional branches, and fan-out/fan-in patterns using a declarative syntax.
State Handoff: Manages the transfer of context envelopes between skills, ensuring data integrity and compatibility.
Conflict Detection: Proactively identifies and flags potential epistemic, behavioral, or resource conflicts before execution.
Use Case: Automate a complex decision-making process by composing Kairos (decision framing) → Krisis (ethical analysis) → Agon (adversarial testing), ensuring each step receives the correct input and potential conflicts are resolved.

Quick Start

Define a sequential composition named 'decide-ethically' using the 'kairos' and 'krisis' skills.

Frequently Asked Questions about harmonia

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

FAQPage Schema

How do I orchestrate multiple AI skills into a single unified workflow?▼

Orchestrating multiple AI skills into a unified workflow requires a framework that manages state handoff protocols and conflict detection. You define complex sequences, parallel executions, and conditional branches using a declarative composition syntax.

What is state handoff protocol in skill composition and how does it work?▼

State handoff protocol in skill composition is the mechanism that manages the transfer of context envelopes between integrated skills. It ensures data integrity and compatibility throughout sequential, parallel, or conditional workflow executions.

How do I detect and resolve conflicts when chaining multiple AI skills together?▼

Detecting conflicts when chaining AI skills requires a framework that proactively identifies and flags potential epistemic, behavioral, or resource conflicts before execution. This validation ensures potential conflicts are resolved during workflow composition.

Can I execute parallel and conditional branches in an AI skill orchestration workflow?▼

Yes, you can execute parallel and conditional branches in an AI skill orchestration workflow. A declarative syntax enables defining complex sequences, parallel executions, conditional branches, and fan-out/fan-in composition patterns.

Do I need defined interface contracts to integrate multiple skills into a workflow?▼

Yes, you need defined interface contracts to integrate multiple skills into a workflow. Skills must adhere to these contracts to enable seamless integration, state handoff validation, and conflict detection during orchestration.

When should I not use a declarative orchestration framework for skill composition?▼

You should not use a declarative orchestration framework for skill composition if your integrated skills lack defined interface contracts. Seamless state handoff and conflict detection require strict adherence to interface validation protocols.