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janus-orchestrator

Orchestrate dual-agent software development workflows with XML-driven planning and repomix context acquisition.

Updated Feb 27, 2026
Search Tags:#planning#workflow automation#code generation#ai agent#orchestration#dual agent
One-click install
npx skills add https://github.com/netzkontrast/JANUS --skill janus-orchestrator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: janus-orchestrator
Source: https://github.com/netzkontrast/JANUS/tree/main/skills/janus-orchestrator
Command: npx skills add https://github.com/netzkontrast/JANUS --skill janus-orchestrator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the complex orchestration of a dual-agent AI system (Janus), ensuring rigorous planning, context management, and reliable execution for software development projects.

Core Features & Use Cases

  • Dual-Agent Workflow Orchestration: Manages the interplay between a strategic System 2 (Jules) and a reactive System 1 (zeroclaw agent).
  • Context Management: Utilizes repomix for context acquisition and maintains state via STATE.md.
  • XML-Driven Planning: Generates and executes atomic plans defined in XML format.
  • Use Case: Initiate a new feature development by having the orchestrator acquire repository context, generate an XML plan for the feature, delegate coding to sub-agents, and verify the implementation through automated tests.

Quick Start

Use the janus-orchestrator skill to execute the Get Shit Done (GSD) XML planning phase for a new feature.

Frequently Asked Questions about janus-orchestrator

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

FAQPage Schema
How do I automate dual-agent AI orchestration for software development?▼

Dual-agent AI orchestration is automated using an XML-driven planning and execution model that delegates tasks to sub-agents via CLI and verifies implementation through bash scripts and Python utilities. It manages context acquisition and maintains state for reliable execution.

What is an XML-driven planning workflow for AI code generation?▼

XML-driven planning generates atomic plans in XML format to define coding tasks precisely. This workflow acquires repository context, creates the plan, and delegates execution to reactive sub-agents, ensuring structured and verifiable software development.

How do I manage repository context for AI agent workflow automation?▼

Repository context for AI agent workflow automation is managed using repomix for context acquisition and a state file to track progress. This ensures sub-agents receive the necessary project details to execute delegated coding tasks accurately.

Can I use dual-cognition AI agents to plan and execute new features?▼

Yes, you can use dual-cognition AI agents to plan and execute new features by having a strategic agent generate an XML plan and a reactive agent handle the coding. Verification is then performed through automated tests and scripts.

Do I need specific CLI tools to run this AI agent orchestration workflow?▼

Yes, this AI agent orchestration workflow requires the jules CLI to delegate tasks to sub-agents and bash with Python utilities for verification. These tools facilitate the execution and testing phases of the XML-driven development plan.

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