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ZES-agentic-core

Standardize agent behavior with task decomposition, evaluation-first execution, and cost-aware routing via 9Router.

Updated Jul 8, 2026
Search Tags:#automation#multi-agent#orchestration#llm-routing#agentic-workflow
One-click install
npx skills add https://github.com/ZESCODE/Zes-Orchestration-System --skill zes-agentic-core
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ZES-agentic-core
Source: https://github.com/ZESCODE/Zes-Orchestration-System/tree/main/.agents/skills/ZES-agentic-core
Command: npx skills add https://github.com/ZESCODE/Zes-Orchestration-System --skill zes-agentic-core

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the complexity of managing multiple AI agents by providing a standardized framework for task decomposition, model routing, and persistent memory integration.

Core Features & Use Cases

  • Agentic Engineering: Implements a structured approach to task delegation between specialized agents like Codex and Hermes.
  • Cost-Aware Routing: Dynamically routes tasks to the most efficient model tier via the 9Router gateway to optimize performance and cost.
  • Use Case: When tasked with a complex software feature, the system automatically decomposes the requirement, assigns coding tasks to Codex, performs reviews with Claude Code, and maintains context via the ZES Memory Hub.

Quick Start

Invoke the ZES agentic core to initialize a new research pipeline for your current project topic.

Frequently Asked Questions about ZES-agentic-core

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

FAQPage Schema
How does multi-agent orchestration handle task decomposition for complex software features?▼

Multi-agent orchestration standardizes task decomposition by automatically breaking down complex software requirements and delegating specialized assignments, such as routing coding tasks to Codex and reviews to Claude Code, to execute efficiently.

How does cost-aware LLM routing optimize multi-agent workflows?▼

Cost-aware LLM routing optimizes multi-agent workflows by dynamically directing tasks to the most efficient model tier via a gateway, balancing execution performance and operational costs for specialized agent assignments.

Do I need a specific gateway to manage multi-agent orchestration and model selection?▼

Yes, you need the 9Router gateway integration to manage multi-agent orchestration and model selection. It is required to facilitate cost-aware model routing and execute standardized agent behavior patterns.

What is the best way to maintain context across specialized coding and review agents?▼

The best way to maintain context across specialized coding and review agents is through persistent memory integration. The orchestration framework connects agents like Codex and Claude Code to a central memory hub for continuous project context.

Can I use this agentic workflow framework without integrating into a larger system architecture?▼

No, this agentic workflow framework requires integration with the ZES system architecture and the 9Router gateway to properly handle task evaluation, model routing, and persistent memory management across agents.

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