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LLM

Implement LLM chat completions with multi-turn conversations using the z-ai-web-dev-sdk.

25|17|Updated Feb 14, 2026
Search Tags:#llm#sdk#chatbot#conversational ai#natural language processing#text generation
One-click install
npx skills add https://github.com/QvvvvvvQ/skills_leaks --skill llm-qvvvvvvq
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: LLM
Source: https://github.com/QvvvvvvQ/skills_leaks/tree/main/GLM/skills/LLM
Command: npx skills add https://github.com/QvvvvvvQ/skills_leaks --skill llm-qvvvvvvq

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables the creation of advanced conversational AI applications, chatbots, and AI assistants by leveraging large language models for natural language understanding and generation.

Core Features & Use Cases

  • Chat Completions: Implement dynamic, multi-turn conversations with LLMs.
  • System Prompts: Define custom AI behavior and roles for tailored interactions.
  • Context Management: Maintain conversation history for coherent and context-aware dialogues.
  • Use Case: Develop a customer support chatbot that can understand user queries, access relevant information, and provide helpful responses, remembering previous interactions within the same session.

Quick Start

Use the LLM skill to ask "What is the capital of France?".

Frequently Asked Questions about LLM

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

FAQPage Schema
How do I build a chatbot with multi-turn conversations using an LLM SDK?▼

To build a chatbot with multi-turn conversations, you can use this Skill to implement large language model chat completions. It leverages the z-ai-web-dev-sdk for natural language understanding, maintaining conversation history for coherent, context-aware dialogues.

What is the best way to define custom AI behavior for a conversational assistant?▼

The best way to define custom AI behavior is by using system prompts. This Skill allows you to specify custom roles and instructions for your AI assistant, tailoring interactions to fit specific application requirements.

Do I need a backend integration to use the z-ai-web-dev-sdk for text generation?▼

Yes, you need a backend integration to use the z-ai-web-dev-sdk for text generation. This Skill requires backend integration to handle all operations, including managing context and processing chat completions securely.

Can the LLM Skill manage context history for customer support chatbots?▼

Yes, the LLM Skill can manage context history for customer support chatbots. It maintains conversation history within the same session, allowing the AI to remember previous interactions and provide coherent, context-aware responses.

How does context management work in conversational AI applications?▼

Context management in conversational AI applications works by retaining conversation history across multiple turns. This Skill uses the z-ai-web-dev-sdk to store previous messages, ensuring the language model generates responses that acknowledge the ongoing dialogue.

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