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.
495 skills found
Tools for deploying, managing, and monitoring DataRobot models, including prediction environment configuration, champion/challenger workflows, and deployment operations.
Analyze project structures, dependencies, and patterns using parallel agent execution to generate comprehensive context documentation for rapid codebase onboarding and AI-assisted development.
Intelligent contract review tool for identifying risks, extracting key terms, and flagging unusual clauses to support informed decision-making.
Generate absurdly thorough, professional README.md files for any project, covering local development, system architecture, and deployment instructions.
Expert copywriting for landing pages, websites, and marketing assets. Guides you through creating clear, persuasive, and conversion-focused text using proven frameworks and customer-centric messaging.
Direct access to the Opper REST API for LLM orchestration, model management, task execution, and seamless migration from OpenAI, Anthropic, or OpenRouter.
Find, connect, and use over 100,000 MCP tools and skills via the Smithery CLI to integrate external services, manage agent workspaces, and automate workflows.
Autonomous iteration loop for AI software development. Executes tasks, validates code, and manages state until completion. Ideal for implementing complex PRP plans.
Fullstack development agent for bkend.ai BaaS. Automates project init, auth/db setup, and API integration for Next.js applications.
Automate Instagram posts via Telegram or CLI. Features residential proxy bypass, session caching, and WaveSpeed image integration.
A framework for managing the end-to-end LLM project lifecycle, from evaluating task-model fit and pipeline architecture design to implementing structured output parsing and agent-assisted development.
Structured 6-phase workflow for planning and implementing features, skills, and architectural changes with automated tool discovery and safety verification.