Browse skills

Dynamically injects Claude's responses into mobile web pages via a lightweight JavaScript library for seamless integration.

Helps with LLMs, integration as part of building AI and machine learning applications workflows.

This skill provides a robust Rag (Retrieval-Augmented Generation) implementation for seamless integration of external knowledge into AI responses.

Helps with LLMs, integration as part of building AI and machine learning applications workflows.

Generate code snippets and explanations directly from your terminal using rysweet's GitHub Copilot CLI integration.

Helps with LLMs, integration as part of software development workflows workflows.

Helps with LLMs, integration as part of software development workflows workflows.

Transcribes audio into text using OpenAI's Whisper model, powered by jiulingyun for enhanced accuracy and integration.

Automate actions & integrations; robinbg-openai-webhooks sends data from your OpenAI workflows to external services via webhooks.

Helps with LangChain, deployment, integration as part of agent workflows workflows.

Generates, tests, and deploys Genkit Dart packages for streamlined AI model integrations and workflows.

Helps with LLMs, integration as part of building AI and machine learning applications workflows.

Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration. Use for AI-powered features, chatbots, or LLM-based automation.

Converts text to OpenAI GPT-compatible formats, optimizing content for improved model performance and integration.

The Rag Engineer skill automatically constructs high-quality retrieval augmented generation (RAG) pipelines for seamless knowledge integration and improved AI responses.