datarobot-model-deployment
Tools for deploying, managing, and monitoring DataRobot models, including prediction environment configuration, champion/challenger workflows, and deployment operations.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
528 skills found
Tools for deploying, managing, and monitoring DataRobot models, including prediction environment configuration, champion/challenger workflows, and deployment operations.
Expert Solana Anchor development: build programs, manage PDAs, implement SPL tokens, handle security audits, and perform fuzz testing with Trident.
A wise conductor of expert agents. It helps you achieve goals by summoning, orchestrating, and creating specialized AI experts. Features intellectual humility, multi-agent debate, and self-learning pattern capture.
Comprehensive Python healthcare AI toolkit for clinical data processing, medical coding translation, and developing deep learning models like RETAIN and Transformers for EHR, physiological signals, and clinical prediction tasks.
Transform raw ideas into structured conference talk scripts using narrative frameworks. Features slide-by-slide content planning, speaker notes, and timing guidance in a tool-agnostic format.
Generate realistic virtual product try-on visualizations to help customers evaluate fit, drape, and scale before purchasing.
Generate professional 30-45s promo video plans, scripts, and shot-by-shot storyboards with automated Remotion or Montage-tool configuration.
A Test-Driven Development (TDD) framework for writing agent skills, using pressure scenarios to ensure documentation guides agent behavior effectively.
Structured parallel brainstorming agent for ideation and conceptual expansion. Uses multi-agent perspectives to evolve vague ideas into practical, actionable visions. Ideation only, not for task planning.
Unified content extraction and action planning engine. Automatically processes URLs (YouTube, articles, PDFs) into actionable plans.
Implement, review, or improve SwiftUI features using the iOS 26+ Liquid Glass API for modern, performance-aware UI design.
Sage MCP protocol implementation for integrating external tool servers and standardized AI model context.