Skill UI

This skill defines a senior engineer specializing in the entire software development lifecycle (SDLC). It covers building robust CI/CD pipelines (e.g., GitHub Actions), containerizing applications with Docker, and managing infrastructure using Infrastructure as Code (IaC) tools like Terraform or Pulumi. Key areas include Kubernetes deployment (GitOps), cloud platform configuration (AWS/GCP/Azure), release automation, and incident response planning.

Provides practical advice on Dockerfiles, CI/CD pipelines, deployment strategies, infrastructure-as-code, and observability, helping teams containerize apps, configure GitHub Actions, plan production rollouts, and keep deployments secure and observable.

A comprehensive guide for advanced DevOps troubleshooting. It covers modern observability practices (ELK, Prometheus, Jaeger), deep debugging for Kubernetes and containers, complex network analysis, CI/CD pipeline failure resolution, and multi-cloud platform issues. Ideal for performing root cause analysis and building highly resilient systems.

Collects Docker build, compose, and runtime tips including multi-stage builds, isolated dependencies, compose healthchecks, .dockerignore, image analysis, and security anti-patterns to streamline container pipelines.

This comprehensive guide details how to configure robust CI/CD pipelines for Documenso integrations using GitHub Actions. It covers best practices for automated unit testing with mocks, comprehensive integration testing against a staging environment, and secure deployment workflows, ensuring code quality and reliability from commit to production.

This expert skill specializes in creating comprehensive, maintainable technical documentation directly from existing codebase, configurations, and comments. It can generate various artifacts, including API specifications, system architecture diagrams, detailed user guides, and technical references, ensuring consistency and accuracy using AI-powered analysis and industry best practices. Ideal for building robust documentation pipelines and standardizing documentation across large repositories.

This comprehensive guide offers patterns and best practices for building robust, maintainable, and fast End-to-End (E2E) test suites using Playwright. It details essential concepts like Page Object Model (POM), advanced configuration, handling flaky tests, artifact management, and seamless integration into CI/CD pipelines. Essential for QA engineers and developers building web automation frameworks.

This skill provides comprehensive guidance on building reliable, fast, and maintainable end-to-end (E2E) test suites. It ensures code quality by validating critical user journeys and catching regressions in complex workflows before deployment. Essential for setting up robust CI/CD pipelines, cross-browser compatibility, and establishing rigorous QA standards.

This guide details how to configure a robust multi-environment setup for Evernote integrations. It ensures proper isolation and configuration management between development, staging, and production environments. Learn to use environment variables, build an environment-aware client factory, and set up CI/CD pipelines, ensuring reliable and secure API connectivity across all stages.

A comprehensive guide to implementing Exa neural search at various scales. This resource details three distinct architectures—Direct Search, Cached Search, and full RAG Pipeline—allowing developers to choose the optimal blueprint based on traffic volume, required latency, and complexity. Use this when designing scalable Exa integrations, from simple UI search to advanced AI-powered research agents.

This guide details setting up robust Continuous Integration and Continuous Deployment (CI/CD) pipelines for Exa integrations. It covers unit tests, live integration testing using GitHub Actions secrets, and health checks. Use this when automating testing workflows or ensuring Exa API connectivity during builds and release gates.

A comprehensive workflow for executing advanced, semantic web searches using Exa. This tool moves beyond simple keyword matching, enabling deep context retrieval by understanding the intent behind the query. Key features include RAG context retrieval, content extraction (summaries, highlights, full text), and robust filtering by date range, specific domains, and content categories. Ideal for building knowledge base search features and complex research pipelines.