Invoke JSON Schema-defined tools across OpenAI, Anthropic, Gemini, and Ollama.
npx skills add https://github.com/juanre/llmring --skill tools
Please help me install this Agent Skill. Skill: tools Source: https://github.com/juanre/llmring/tree/main/skills/tools Command: npx skills add https://github.com/juanre/llmring --skill tools
Integrating external functions or APIs with LLMs for agentic behavior is often provider-specific and complex. This Skill provides a unified way to define and execute tools, simplifying agent development and enabling powerful automation.
Use the tools skill to ask the 'tool-user' alias "What's the weather in NYC?" with a 'get_weather' tool defined.
High-intent search queries and answers about installing and using this skill.
Tool use lets LLMs intelligently invoke external functions based on user intent. Define tools using JSON Schema, then the model decides when and how to call them—enabling capabilities like weather lookup, web search, or API integration without manual routing logic.
Yes. This Skill provides a unified JSON Schema–based tool API that works consistently across OpenAI, Anthropic, Google Gemini, and Ollama, eliminating provider-specific tool definition syntax and letting you switch providers without rewriting tool logic.
Tool use handles the complete lifecycle: the model requests a tool call, you execute the external function, return the result to the conversation, and the model incorporates it into its response. This orchestration repeats across turns, enabling stateful agent behavior.
No. This Skill manages tool result messaging automatically—capturing tool outputs, formatting them for the model, and integrating responses back into the conversation flow without manual intermediary steps.
Use the tool_choice parameter to enforce tool invocation, allow optional use, or disable tools entirely. This gives you fine-grained control over agentic behavior—from mandatory function calls to models that decide independently whether a tool is needed.
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