How does the skill handle conversation memory?

The skill provides implementation patterns for a ConversationManager that tracks message history, allowing the AI to remember previous interactions in a multi-turn session.

What is the benefit of the 'Thinking' parameter?

The thinking parameter enables chain-of-thought reasoning, which helps the LLM process complex logic, math, or technical problems more accurately before providing a final answer.

Is it possible to test prompts without writing a full script?

Yes, this skill includes CLI usage instructions that allow you to execute chat completions directly from your terminal for quick testing and simple automation.

Can I use this skill in the frontend of my web application?

No, the z-ai-web-dev-sdk is strictly designed for backend use only to ensure security and prevent the exposure of API credentials in client-side code.

LLM Chat Completions

Name: LLM Chat Completions
Author: ConstantineCTF

byConstantineCTF

0•

Data Science & ML

Integrates Large Language Model chat completions into backend applications using the z-ai-web-dev-sdk for advanced conversational AI and text generation.

This skill provides a comprehensive framework for building sophisticated AI-driven features like chatbots, content generators, and data analysis tools within your project. By leveraging the z-ai-web-dev-sdk, developers can easily manage multi-turn conversation history, implement system-level personas, and utilize advanced reasoning features like chain-of-thought. Whether through a quick-access CLI for rapid testing or a robust SDK for production-ready backend services, this skill streamlines the process of adding intelligent, context-aware text generation to any software architecture.

Key Features

01Support for Chain-of-Thought (Thinking) reasoning for complex tasks

02CLI tools for rapid prompt testing and automated one-off tasks

03Streaming response support for real-time user interfaces

04Multi-turn conversation history and context management

05System prompt customization for specific AI personas and behaviors

060 GitHub stars

Use Cases

01Developing specialized AI tools for code review, debugging, and data summarization

02Building context-aware customer support chatbots and virtual assistants

03Automating creative content generation for blogs, product descriptions, and emails

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add constantinectf/can2025-safepass LLM

For use in Claude.ai and ChatGPT

Download Skill