Skill UI

Automates database-focused test work by offering best-practice guidance, fixtures, and configurations for unit, integration, and mocking scenarios in test automation workflows.

A comprehensive runbook designed for on-call engineers to manage Databricks incidents, outages, and major job failures. It provides structured procedures for immediate triage, decision tree guidance (covering cluster failures, code errors, and data quality issues), and steps for evidence collection and postmortem documentation, ensuring rapid and systematic incident resolution.

Automates dataset loader creation within ML Training workflows, offering best-practice guidance, validation checks, and production-ready code to accelerate data prep and model tuning.

Automates guidance for date range analytics, covering SQL, visualization, statistics, and BI, with code generation and validation to support data analytics workflows.

Automates guidance when requesting design doc templates, covering patterns, best practices, and example triggers across API, user, and architecture docs to streamline technical documentation.

Detect SQL injection weaknesses by running the sql-injection-detector plugin against codebases, identifying risky queries, and providing remediation guidance to secure applications.

This skill provides comprehensive guidance on implementing distributed tracing using industry standards like OpenTelemetry and tools such as Jaeger/Tempo. It enables developers to monitor the end-to-end lifecycle of a request across multiple microservices. Use this skill to debug latency issues, visualize complex service dependencies, pinpoint performance bottlenecks, and accurately trace error propagation in highly distributed systems.

An expert AI assistant specializing in modern Django 5.x development. It provides best practices, architectural guidance, and actionable steps for building scalable, secure, and highly performant web applications. Expertise covers async views, DRF, Celery, Channels, and comprehensive CI/CD integration. Use this when building enterprise-grade Django systems.

Automates Docker Compose setup and best-practice guidance for DevOps basics, producing production-ready configurations and validating them against common standards.

Automates guidance for docker container workflows in DevOps basics, offering step-by-step practice, best practices, production-ready snippets, and validation checks for foundational tasks.

Automates guidance for document merger tasks within business automation workflows, offering best practices, production-ready code, and validation to streamline merging, email, and spreadsheet operations.

Automates guidance for Docusaurus configuration setup, offering best-practice patterns, production-ready snippets, and validation steps to streamline technical documentation projects.