Register Python functions as callable tools with JSON schemas from type hints.
npx skills add https://github.com/jhd3197/Prompture --skill add-tool-jhd3197
Please help me install this Agent Skill. Skill: add-tool Source: https://github.com/jhd3197/Prompture/tree/main/.claude/skills/add-tool Command: npx skills add https://github.com/jhd3197/Prompture --skill add-tool-jhd3197
This Skill enables the integration of custom functions and external APIs into LLM conversations, allowing them to perform actions and retrieve real-time data.
get_weather(city: str) function and register it, so the LLM can call it when a user asks "What's the weather in London?".Register the get_weather function with the ToolRegistry and use it within a Conversation.
High-intent search queries and answers about installing and using this skill.
To add callable tools to an LLM agent, you define Python functions and register them with a tool registry. This allows the agent to invoke the functions dynamically and retrieve real-time external data during conversations.
Yes, you can automatically generate JSON schemas for function calling directly from Python type hints. This eliminates manual schema construction and streamlines the integration of external API parameters into LLM conversations.
Schema generation for external APIs works by parsing Python type hints to create callable tool definitions. These schemas are then integrated with multi-provider LLM frameworks to enable seamless function calling and response handling across platforms.
Yes, this tool supports multi-provider LLM frameworks for function calling. It seamlessly integrates with various LLM providers that support tool use, allowing dynamic agent behavior through programmatic tool invocation.
The best way to register a custom Python function for an LLM to invoke is by adding it to a ToolRegistry within a Conversation. This facilitates automatic schema generation and enables the LLM to call the function when needed.
You need to define callable tools for an LLM conversation when the agent must interact with external systems to perform actions. This is required when the agent needs to retrieve real-time data or trigger external APIs dynamically.
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