Skill UI

Integrate Customer.io core capabilities—segments, transactional messaging, anonymous/object tracking, and CDP data pipelines—for applications that need targeted broadcasts, transactional emails, and enhanced customer data syncs.

Identifies Customer.io anti-patterns across authentication, tracking, data quality, delivery, and performance so you can audit integrations, fix common mistakes, and optimize implementations with actionable checks.

Manages Customer.io's primary messaging workflow, coordinating user identification, event tracking, and automated campaigns across email, push, SMS, and in-app messaging. Ideal for teams launching Customer.io workflows with predefined triggers and nurture paths.

Guides ML training teams through data augmentation pipelines, offering best practices, code/config generation, validation, and experiment-tracking support so pipelines stay production-ready.

Guides ML engineers through the Databricks secondary workflow that links Feature Store engineering, MLflow experiment tracking, model registry versioning, and serving so production-grade models can be trained and deployed.

This skill guides users in transforming chaotic debugging efforts into a structured, systematic process. It provides a methodology for tracking down elusive bugs, investigating complex performance degradation, and resolving critical production incidents. Users learn to capture necessary logs, formulate testable hypotheses, narrow the scope using techniques like binary search, and methodically verify fixes in distributed systems environments.

Creates step-by-step decomposition plans and migration roadmaps to guide the transition from monolithic applications to distributed architectures, prioritizing risk, value, and dependencies while tracking progress through pattern-based phases.

Guides teams to cut Deepgram transcription costs by enforcing budget-aware requests, trimming audio duration, tracking usage, sending tiered alerts, and selecting the most cost-effective models based on quality needs.

Guides engineers through initializing MCUs, crafting RTOS-aware drivers, and tuning power/timing for STM32, ESP32, and bare-metal targets; covers constraint analysis, interrupt safety, resource tracking, and validation with static analysis and real-time debugging.

A comprehensive guide for implementing robust error monitoring and observability solutions. This skill teaches how to set up end-to-end error tracking systems, configure meaningful alerts, implement structured logging, and utilize tracing to ensure teams can quickly pinpoint, diagnose, and resolve complex production issues, greatly enhancing system reliability.

This skill acts as an expert guide for implementing comprehensive error tracking and observability solutions. It provides best practices for setting up robust error monitoring systems, configuring intelligent alerts, implementing structured logging, and building real-time dashboards. Use it when aiming to quickly detect, analyze, and resolve complex production issues and improve system reliability.

Automate Eventbrite event management workflows—including listing organization events, tracking attendees, and browsing categories or formats—via natural-language commands powered by the Rube MCP for faster coordination.