Skill UI

Automated assistant that walks through cert manager setup within DevOps Advanced, offering step-by-step guidance, industrial best practices, production-ready configs, and validation whenever cert manager setup is requested or explored.

Automates guidance for certificate lifecycle manager operations within the Security Advanced domain and kicks in when you ask about certificate lifecycle patterns, best practices, deployment, or compliance setups.

Changelog Creator automatically surfaces best practices for DevOps basics by guiding requests that mention changelog creator, recommending version-control tips, container checks, and CI/CD fundamentals while also validating outputs and generating ready-to-use code/configurations.

This skill defines mandatory architectural standards and best practices for developing robust, scalable, and observable backend services using Node.js, Express, and TypeScript. It mandates layered architecture (Routes → Controllers → Services → Repositories), strong error handling, dependency injection, and input validation (Zod) to ensure maintainability and reliability in production environments. Use when designing or refactoring core API logic.

Documenting backend architecture patterns, API design, database optimization, caching, and error-handling best practices tailored for scalable Node.js, Express, and Next.js API routes.

Automated assistant that walks through backend background worker setup, covering node.js, Python, Go, databases, caching, messaging, and microservices best practices.

This guide provides comprehensive techniques for writing highly robust, production-grade Bash scripts. It covers advanced error handling, input validation, and safety best practices essential for building reliable CI/CD pipelines, system administration utilities, and mission-critical automation scripts that must handle edge cases gracefully.

Bash Script Helper automatically assists with foundational DevOps bash scripting tasks, guiding users through best practices, pattern explanations, and producing ready-to-use code or configurations while validating outputs.

Guides ML teams through automated batch inference pipelines, suggesting best practices, monitoring and production readiness, and generating code and configs for deployment.

Automated guidance for batch request handler tasks inside API integration workflows, covering best practices, code generation, webhook patterns, and validations when dealing with third-party APIs.

This guide provides comprehensive patterns and best practices for writing robust unit tests for shell scripts using Bats (Bash Automated Testing System). It is ideal for developers implementing Test-Driven Development (TDD) for shell utilities, setting up robust automated testing in CI/CD pipelines, and validating edge cases and error conditions in shell environments.

A comprehensive guide and set of patterns for optimizing build processes using Bazel in large-scale monorepositories. Covers configuring WORKSPACE, managing remote caching/execution, defining custom rules (Python, TypeScript), and best practices for maintaining build performance and consistency across massive codebases.