Build multi-turn chatbots with the z-ai-web-dev-sdk.
npx skills add https://github.com/nidhalboumaiza-0/PFA_2026_E-Sante --skill llm-nidhalboumaiza-0
Please help me install this Agent Skill. Skill: LLM Source: https://github.com/nidhalboumaiza-0/PFA_2026_E-Sante/tree/main/admin-e-sante/skills/LLM Command: npx skills add https://github.com/nidhalboumaiza-0/PFA_2026_E-Sante --skill llm-nidhalboumaiza-0
This Skill enables developers to build multi-turn chatbots and AI assistants powered by large language models using the z-ai-web-dev-sdk. It addresses the challenge of managing conversational context, system prompts, and back-end integration for reliable, deterministic chat experiences.
Start a simple chat: create the ZAI instance on the backend, initialize with a system prompt like "You are a helpful assistant", and send a user message such as "What is the capital of France?"
High-intent search queries and answers about installing and using this skill.
To build a multi-turn chatbot with context management, use this Skill to initialize a backend ZAI instance and send sequential user messages while maintaining conversational state. It supports system prompts to define assistant behavior throughout the dialogue.
You need a backend environment and the z-ai-web-dev-sdk dependency to set up a conversational AI assistant. This Skill provides scripts to manage multi-turn context, system prompts, and optional streaming features for reliable chat experiences.
Yes, you can use system prompts to define chatbot behavior in a multi-turn conversation. This Skill supports system prompt integration when initializing the ZAI instance, allowing you to constrain and guide the assistant's responses.
Yes, the z-ai-web-dev-sdk supports streaming responses for chatbots through this Skill. It includes optional streaming and thinking modes to handle large language model outputs dynamically during multi-turn conversational interactions.
The best way to create a customer support chatbot using large language models is to use this Skill's plug-and-play backend setup. It leverages the z-ai-web-dev-sdk for context management and system prompts to ensure deterministic, reliable support interactions.
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