Skill UI

Automates guidance for configuring mlflow experiment tracking, covering best practices, code generation, and validation to support ML training workflows.

Automated guidance for managing model checkpoints in ML training workflows, offering best practices, sample code, and validation to keep experiments stable and reproducible.

Automates guidance on identifying and responding to model drift within ML deployment workflows, offering best practices, production-ready code, and validation support so you can keep inference systems stable.

Automated guidance for model explainability tooling within ML training workflows, giving step-by-step best practices, production-ready code, and validation for experiments whenever users mention explainability tool needs.

Compress large language models quickly using Wanda, SparseGPT, and N:M pruning to enforce hardware-friendly sparsity, enabling faster inference and deployment without retraining.

Guides ML deployment workflows by surfacing best practices, templated code, and validation steps whenever model pruning helper patterns are mentioned.

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.