LLM

Enable multi-turn chat completions with system prompts via z-ai-web-dev-sdk.

Updated Jan 5, 2026
One-click install
npx skills add https://github.com/Mhafis99/manajemen-keuangan --skill llm-mhafis99
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: LLM
Source: https://github.com/Mhafis99/manajemen-keuangan/tree/main/menejemenkeuanganarsm/skills/LLM
Command: npx skills add https://github.com/Mhafis99/manajemen-keuangan --skill llm-mhafis99

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

The LLM skill enables developers to implement robust chat-based AI using the z-ai-web-dev-sdk, including multi-turn conversations, system prompts, and context management, so apps can provide intelligent, dynamic responses.

Core Features & Use Cases

  • Multi-turn chat with context management using the z-ai-web-dev-sdk
  • System prompts to steer assistant behavior
  • Back-end oriented (server-side) usage for production apps
  • Use cases: chatbots, AI assistants, content generation, code assistance

Quick Start

Initialize the z-ai-web-dev-sdk on the backend and call the chat completions API with a system prompt and a user message to start a conversation.

Frequently Asked Questions about LLM

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

FAQPage Schema
How do I build a backend for multi-turn LLM chat conversations?

To build a backend for multi-turn LLM chat conversations, you need a server-side setup that manages message history and context. This Skill enables chat completions with context tracking and system prompts using the z-ai-web-dev-sdk.

How do I implement system prompts to steer chatbot behavior on the backend?

System prompts steer chatbot behavior by defining assistant instructions at the start of a conversation. This Skill supports passing system prompts alongside user messages to guide AI responses dynamically within your backend application.

Does the z-ai-web-dev-sdk support streaming options for chat completions?

Yes, the z-ai-web-dev-sdk supports streaming options for chat completions. This allows backend applications to receive and send AI-generated responses incrementally, improving perceived latency in chatbots and AI assistants.

Can I use this Skill for server-side content generation tools?

You can use this Skill for server-side content generation tools because it handles structured dialogue and history tracking. It provides safe handling per best practices for backend applications requiring dynamic text generation.

What is context management in multi-turn LLM conversations?

Context management in multi-turn LLM conversations tracks previous messages to maintain conversation flow. This Skill handles message history automatically, ensuring the model understands ongoing dialogue context for coherent responses.