How do I enable complex reasoning for difficult tasks?

You can enable the 'thinking' parameter in both the CLI (--thinking) and the SDK (thinking: { type: 'enabled' }) to trigger chain-of-thought processing.

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

No, the z-ai-web-dev-sdk must be used in backend code only to ensure security and proper API handling.

Does this skill support streaming responses?

Yes, both the CLI and the SDK support streaming, allowing you to display AI responses in real-time as they are generated.

How does this skill handle conversation memory?

The skill provides patterns for managing an array of message objects that store the history of user and assistant roles, maintaining context across multiple turns.

What is the difference between CLI and SDK usage in this skill?

The CLI is best for quick tests, simple automation, and one-off queries, while the SDK is designed for building complex, multi-turn applications like web chatbots.

LLM Integration & Chat Completions

Name: LLM Integration & Chat Completions
Author: NYXAETHER2010

byNYXAETHER2010

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Data Science & ML

Implements advanced large language model chat completions and conversational context management using the z-ai-web-dev-sdk.

The LLM skill provides a robust framework for integrating conversational AI into your applications, leveraging the z-ai-web-dev-sdk for secure backend implementations. It streamlines the process of building chatbots, content generators, and AI-powered tools by providing standardized patterns for multi-turn conversations, system prompts, and context persistence. Whether you are using the CLI for rapid prototyping or the SDK for production-grade workflows, this skill ensures best practices for managing model parameters like chain-of-thought reasoning and real-time streaming.

Key Features

01Multi-turn conversation history and context management

02Chain-of-thought (thinking) reasoning support for complex tasks

03Customizable system prompts for specialized AI personas

04Real-time response streaming for improved user experience

051 GitHub stars

06CLI and SDK interfaces for both automation and deep integration

Use Cases

01Building context-aware customer support assistants with specific business logic

02Automating high-quality content generation for blogs, emails, and products

03Developing specialized technical tools for code review and data summarization

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nyxaether2010/aetherwrite LLM

For use in Claude.ai and ChatGPT

Download Skill