zk

Route user requests to Claude Agent System skills via a deterministic decision tree.

15|4|Updated Jul 4, 2025
One-click install
npx skills add https://github.com/Kasempiternal/Claude-Agent-System --skill zk
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: zk
Source: https://github.com/Kasempiternal/Claude-Agent-System/tree/main/claude-agent-system-plugin/skills/zk
Command: npx skills add https://github.com/Kasempiternal/Claude-Agent-System --skill zk

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the need for users to manually select the correct Claude Agent System skill for their task, automatically routing requests to the most appropriate execution mode.

Core Features & Use Cases

  • Automatic Skill Routing: Analyzes user requests to determine the best skill (Siege, Legion, Hydra, PCC-Opus, or PCC) for execution.
  • Decision Tree Logic: Employs a deterministic, multi-step decision process to ensure accurate routing.
  • Use Case: Instead of typing /siege "build a complete e-commerce platform", a user can simply type /zk "build a complete e-commerce platform" and ZK will intelligently route it to /siege.

Quick Start

Use the zk skill to route your task description to the correct execution skill.

Frequently Asked Questions about zk

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

FAQPage Schema
How do I automate task routing to the correct Claude Agent skill?

Task routing automation analyzes your request's scope, complexity, and criticality to match it with the correct execution skill. It eliminates manual selection by applying a deterministic decision tree to route inputs automatically.

What is intelligent skill selection for multi-agent task automation?

Intelligent skill selection evaluates task parameters to assign work to the most appropriate agent. It uses a deterministic decision tree to analyze request scope and complexity, ensuring optimal agent routing without manual intervention.

How does a deterministic decision tree work for routing agent requests?

A deterministic decision tree routes agent requests by executing a multi-step evaluation of task scope and criticality. This logic ensures accurate mapping of user inputs to specific execution skills, removing ambiguity from the routing process.

Can I use intelligent routing instead of manually selecting execution skills?

Yes, you can use intelligent routing instead of manually selecting execution skills. By submitting a single command with your task description, the router analyzes complexity and automatically directs the request to the appropriate skill.

When do I need an intelligent agent router for task automation?

You need an intelligent agent router when managing multiple execution modes and wanting to optimize user experience. It is necessary when task scope and complexity vary significantly, requiring automated selection to ensure correct execution.