What is the benefit of the 'thinking' mode?

The thinking mode enables chain-of-thought reasoning, allowing the model to perform complex logic and multi-step problem solving before delivering a final response.

When should I use the CLI versus the SDK?

Use the CLI for quick prompt testing, one-off questions, or simple automation scripts. Use the SDK for building production-grade web applications and complex chat workflows.

Does this skill support conversation history?

Yes, it includes patterns for a ConversationManager that tracks message history, ensuring the AI maintains context throughout multi-turn interactions.

Can I use the LLM skill in client-side code?

No, the z-ai-web-dev-sdk used by this skill is designed strictly for backend implementation to ensure security, protect API keys, and maintain performance.

LLM Chat Integration

Name: LLM Chat Integration
Author: mattismyname3011

bymattismyname3011

データサイエンスとML

Integrates sophisticated large language model chat completions into backend applications using the z-ai-web-dev-sdk.

概要

The LLM skill empowers developers to build advanced conversational AI features, including chatbots, specialized assistants, and automated text generation workflows. By leveraging the z-ai-web-dev-sdk, it provides a structured framework for managing multi-turn conversations, system prompts, and complex context requirements. The skill includes both a programmatic SDK for deep application integration and a versatile CLI for rapid prototyping, prompt testing, and simple automation, making it an essential tool for creating modern, AI-driven backend services.

主な機能

Chain-of-thought 'thinking' mode for complex reasoning and problem solving
Pre-built implementation patterns for content generation and data analysis
Comprehensive multi-turn conversation and context history management
0 GitHub stars
Support for advanced system prompts to define specific AI personas and behaviors
CLI tool for rapid testing, prompt debugging, and streaming responses

ユースケース

Creating intelligent backend utilities for code debugging and data summarization
Building context-aware customer support chatbots and virtual assistants
Automating high-quality content generation for blogs, emails, and product descriptions

概要

主な機能

Chain-of-thought 'thinking' mode for complex reasoning and problem solving
Pre-built implementation patterns for content generation and data analysis
Comprehensive multi-turn conversation and context history management
0 GitHub stars
Support for advanced system prompts to define specific AI personas and behaviors
CLI tool for rapid testing, prompt debugging, and streaming responses

ユースケース

Creating intelligent backend utilities for code debugging and data summarization
Building context-aware customer support chatbots and virtual assistants
Automating high-quality content generation for blogs, emails, and product descriptions