LLM

Build multi-turn AI chat conversations using the z-ai-web-dev-sdk.

Updated Jan 15, 2026
One-click install
npx skills add https://github.com/Kin3Xc/promoly --skill llm-kin3xc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: LLM
Source: https://github.com/Kin3Xc/promoly/tree/main/skills/LLM
Command: npx skills add https://github.com/Kin3Xc/promoly --skill llm-kin3xc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires z-ai-web-dev-sdk, and includes scripts (resource) components.

What problem does it solve?

This skill provides a ready-to-use framework for building chat-based AI applications using the z-ai-web-dev-sdk, enabling multi-turn conversations, system prompts, and context management without boilerplate.

Core Features & Use Cases

  • Multi-turn conversation management with context history
  • System prompts and contextual awareness for consistent behavior
  • Example-driven guidance for integrating with backends and frontends

Quick Start

See the sample in scripts/chat.ts for a working example of a basic chat completion using the z-ai-web-dev-sdk.

Frequently Asked Questions about LLM

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

FAQPage Schema
How do I build multi-turn AI chat conversations with context management?

Yes, you can implement AI chatbot backend logic using this skill, which provides a script example demonstrating message flow, thinking mode, and deterministic completions with the z-ai-web-dev-sdk for backend-only usage.

How do I set up system prompts for consistent chatbot behavior in a backend?

Set up system prompts for consistent chatbot behavior using the provided framework, which integrates contextual awareness and system prompts directly into backend scripts to maintain consistent AI assistant behavior across multi-turn conversations.

Does the z-ai-web-dev-sdk support deterministic completions for virtual assistants?

Yes, the z-ai-web-dev-sdk supports deterministic completions for virtual assistants, as demonstrated in the skill's script example which shows how to configure message flow and thinking mode for reliable outputs.

What's the best way to manage context history for a customer support agent?

The best way to manage context history for a customer support agent is using this skill's ready-to-use framework, which handles conversation context and system prompts to maintain awareness throughout multi-turn interactions.

Do I need z-ai-web-dev-sdk to use this chatbot skill?

Yes, you need the z-ai-web-dev-sdk installed, as it is the required dependency. The skill targets backend-only usage of this SDK to provide multi-turn conversation capabilities and example-driven guidance.