Create conversational AI assistants using OpenAI, Anthropic, and Gemini models.
npx skills add https://github.com/lvhuanid/learnHelloAgents --skill llm-lvhuanid
Please help me install this Agent Skill. Skill: LLM Source: https://github.com/lvhuanid/learnHelloAgents/tree/main/skills/LLM Command: npx skills add https://github.com/lvhuanid/learnHelloAgents --skill llm-lvhuanid
This Skill solves the challenge of building and deploying conversational AI applications by providing a framework to integrate and utilize advanced language models.
Run the z-ai CLI command to start a conversation: z-ai chat --prompt "What is the capital of France?".
High-intent search queries and answers about installing and using this skill.
To build a chatbot with multi-turn conversations, this skill provides a framework that manages context across multiple dialogue turns and interfaces with advanced language models like OpenAI, Anthropic, and Gemini to maintain coherent interactions.
Conversational AI system prompts are customizable instructions that define an AI assistant's behavior. This skill allows you to set system prompts to tailor the language model's responses, ensuring the chatbot acts according to your specific application requirements.
Yes, you need basic Python scripting knowledge and must install the z-ai-web-dev-sdk dependency to create an AI assistant. This skill leverages this environment to enable chat completion and interface with advanced language models.
Yes, you can use this skill to integrate multiple language models including OpenAI, Anthropic, and Gemini. It empowers conversational AI development by providing a unified framework to utilize these advanced models for chat completion.
To test text generation quickly, run the z-ai CLI command: `z-ai chat --prompt "What is the capital of France?"`. This quick start method allows you to verify prompt responses and chat completion behavior immediately.
pavan53732Implement chat completions with the z-ai-web-dev-sdk.
mtsatryanGenerates deployment-ready AI agents with code, prompts, and tests from user-defined requirements and templates.
abhishekmmgnManage agent sessions and prune conversation history to prevent context overflow.
lvhuanidRetrieve real-time web search results using OpenAI, Anthropic, or Gemini LLM providers.
