Trpc Llm Docs

What it does

The trpc-llm-docs skill provides access to documentation and examples related to integrating LLMs with tRPC. It enables agents to understand how to build robust and type-safe APIs using tRPC for interacting with large language models. This includes generating code snippets, explaining concepts, and offering guidance on best practices for LLM integration within a tRPC environment.

When to use it

• Debugging tRPC + LLM integrations: When encountering issues connecting an LLM to a tRPC backend, this skill can provide relevant documentation and troubleshooting steps.
• Learning tRPC with LLMs: For developers new to the combination of tRPC and LLMs, this skill offers introductory materials and examples.
• Generating code snippets for specific tasks: Need help creating a tRPC endpoint that calls an LLM? This skill can generate tailored code examples based on your requirements.
• Understanding advanced concepts: The skill provides explanations for complex topics like schema generation and type safety when working with LLMs in tRPC.

Key capabilities

• Access to comprehensive documentation on tRPC-LLM integration.
• Code example generation for common use cases.
• Explanations of key concepts and best practices.
• Troubleshooting guidance for common errors.

Example prompts

• "Show me an example of a tRPC endpoint that uses OpenAI's GPT-3."
• "Explain how to implement type safety when using LLMs with tRPC."
• "What are the best practices for handling API keys in a tRPC + LLM application?"

Tips & gotchas

This skill assumes some familiarity with both tRPC and basic LLM concepts. The quality of generated code examples depends on the clarity and specificity of your prompts; be as detailed as possible when requesting assistance.