Skill UI

A powerful tool utilizing Rube MCP to automate interactions with Make (formerly Integromat) scenarios. It allows users to retrieve detailed operation logs, monitor usage data, and validate critical configuration parameters such as supported languages and timezones. Ideal for building comprehensive workflow monitoring dashboards and ensuring the integrity of complex integration pipelines.

This skill generates standardized, production-ready `mise.toml` configurations. It helps developers standardize runtime versions across mixed-language projects (e.g., Node.js, Python, Go, etc.) and CI/CD pipelines, eliminating the need for multiple legacy version managers like asdf or nvm. Ideal for ensuring reproducible, consistent development environments.

Provides comprehensive guidance for building end-to-end MLOps pipelines, covering data preparation, training, validation, deployment, and monitoring with DAG orchestration tools like Airflow, Dagster, and Kubeflow.

Expert MLOps engineer specializing in building scalable ML infrastructure and automation pipelines. Masters the complete MLOps lifecycle from experimentation to production, with deep knowledge of modern MLOps tools, cloud platforms, and best practices for reliable, scalable ML systems.

Administer, optimize, and secure MongoDB NoSQL databases in development and production. Covers installation, user setup, CRUD operations, indexing, aggregation pipelines, replica sets, and backup/restore.

This skill specializes in designing and managing monorepo architectures for large-scale software development. It covers build systems like Nx, Turborepo, Bazel, and Lerna to optimize multi-project workflows. Use it for setting up new repositories, migrating from polyrepos, optimizing CI/CD pipelines, and managing dependencies across multiple applications efficiently.

A comprehensive skill for building and maintaining efficient, scalable monorepositories. This involves strategies for enabling code sharing, ensuring consistent tooling across multiple packages and applications, and managing atomic changes. Use this skill for setting up new monorepo architectures, migrating existing repositories, and optimizing complex CI/CD pipelines.

Diagnose slow data pipeline jobs, expensive queries and latency regressions using Monte Carlo cross-platform observability, with a tiered approach that bridges jobs to tables and drills into root causes across Airflow, dbt, Databricks and warehouses.

Surfaces Monte Carlo data observability insights—health, lineage, alerts, and monitors-as-code—before developers edit dbt models or SQL pipelines, ensuring risk-aware code changes.

Design and optimize production-grade multi-agent systems using LangGraph, LangChain, and DeepAgents. Provides structured workflows for creating supervisor, planner, researcher, coder, and validator agents with memory and tool-calling pipelines.

This skill generates ready-to-use CI/CD pipeline configurations for automated API testing using Newman. It supports multiple platforms including GitHub Actions, GitLab CI, Jenkins, Azure DevOps, and CircleCI. Users can specify collection sources, environment variables, and report formats like JUnit or HTML. The generated scripts install Newman and execute Postman collections within the pipeline, ensuring consistent API quality checks across different development environments.

Nika is an open-source Rust engine that captures repeatable AI tasks as checkable YAML workflow files. It audits workflows before token spending, enforces strict cost budgets, and executes against local or cloud providers. Ideal for daily digests, ETL, and multi-step pipelines requiring audit trails and deterministic execution without autonomous coding capabilities.