Skill UI

Automate More Trees operations via the Rube MCP and Composio toolkit by discovering current tool schemas, managing the More Trees connection, and executing compliant workflows through the recommended execute/multi-execute calls.

nanoGPT is a simplified, minimalist implementation designed specifically for educational purposes. It reproduces the core architecture of GPT-2 (124M) using clean, hackable code, allowing users to understand the entire transformer pipeline from scratch. The framework supports full workflows, including data preparation on various datasets (e.g., Shakespeare, OpenWebText), model training, and text generation, making it ideal for students and researchers learning NLP and deep learning principles.

Automates News API operations via Rube MCP/Composio by first discovering tool schemas, confirming connections, and executing RUBE_MULTI_EXECUTE_TOOL flows with schema-compliant arguments for repeatable news workflows.

Automates OCR Web Service workflows through Rube MCP and Composio by always discovering tools, verifying connections, and executing schema-compliant commands.

Automates Ocrspace tasks via Composio’s toolkit and Rube MCP, guiding tool discovery, connection checks, schema-compliant execution, and stateful workflows for reliable OCR operations.

Automates Onesignal User Auth tasks by directing Rube MCP to discover current tool schemas, manage toolkit connections, and execute Composio workflows for auth operations.

Automate OpenAI API workflows through the Composio MCP integration, covering text and multimodal responses with structured outputs, embeddings, image generation, and model discovery.

A comprehensive workflow designed for clinical professionals to search, retrieve, and synthesize medical evidence. It allows users to query clinical literature with specialized filters (e.g., specialty, evidence level), check potential drug interactions against patient profiles, and look up the latest specialty guidelines from major health organizations (like ACC/AHA, NICE). The output provides structured citations, confidence scores, and evidence grading to support informed clinical decision-making.

High-performance RLHF framework that combines Ray, vLLM, and ZeRO-3 to accelerate PPO/GRPO/RLOO/DPO training for 7B-70B+ models on distributed GPU clusters, providing a single-stack workflow for reward models and policy optimization.

Implements standardized function/tool calling across various large language models (LLMs) via OpenRouter. This unified approach allows developers to build sophisticated, multi-step agents and complex workflows, regardless of the underlying provider (e.g., GPT-4o, Claude 3.5). It simplifies the process of achieving structured output and tool-augmented reasoning in production systems.

Enables Claude to orchestrate multi-agent systems using AI SDK v5, setting up agents, handoffs, intelligent routing, and workflows across OpenAI, Anthropic, and Google when users request complex agent coordination.

Covers HuggingFace PEFT workflows for LoRA/QLoRA-based LLM fine-tuning, enabling sub-1% parameter updates on limited GPUs plus adapter serving tips.