LLM

Implement LLM chat completions with multi-turn conversations and system prompts.

1|Updated Feb 14, 2026

Search Tags:#llm #ai assistant #chatbot #conversational ai #natural language processing #text generation

Ready to run

npx skills add https://github.com/Abhishekgit01/LumeIQ --skill llm-abhishekgit01

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: LLM
Source: https://github.com/Abhishekgit01/LumeIQ/tree/main/skills/LLM
Command: npx skills add https://github.com/Abhishekgit01/LumeIQ --skill llm-abhishekgit01

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill empowers developers to build sophisticated conversational AI applications, chatbots, and AI assistants by leveraging large language models for natural language understanding and generation.

Core Features & Use Cases

Chat Completions: Generate human-like text responses for various conversational needs.
Multi-turn Conversations: Maintain context and coherence across multiple user-AI interactions.
System Prompts: Define custom AI behavior and roles for tailored responses.
Use Case: Develop a customer support chatbot that can understand user queries, access relevant information, and provide helpful, context-aware answers.

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 conversational AI chatbot with multi-turn conversations?▼

To build a conversational AI chatbot, implement large language model chat completions using the z-ai-web-dev-sdk, which supports multi-turn conversations and context management for coherent user-AI interactions.

How do system prompts work for customizing AI assistant behavior?▼

System prompts define custom AI behavior and roles for tailored responses in conversational AI applications. By setting a system prompt, you instruct the large language model to adopt a specific persona or follow distinct conversational rules during text generation.

How to integrate the z-ai-web-dev-sdk for secure LLM chat completions?▼

Integrate the z-ai-web-dev-sdk on your backend to securely handle LLM chat completions. This backend setup ensures efficient large language model interactions for your conversational AI applications without exposing API logic to the frontend.

Can I use this Skill to develop a customer support chatbot?▼

Yes, you can develop a customer support chatbot that understands user queries and provides helpful, context-aware answers. The Skill leverages large language models for natural language understanding and generation to assist with various conversational needs.

Do I need backend integration to run natural language processing tasks?▼

Yes, backend integration of the z-ai-web-dev-sdk is required for secure and efficient LLM interactions. This backend setup allows your conversational AI applications to process natural language processing tasks and generate text safely.