DevOps Skills

Facilitates the creation and verification of AI skills using a test-driven development approach for effective documentation.

Facilitates code reviews to ensure quality and compliance before merging, enhancing development efficiency and collaboration.

Ensures code adheres to security best practices, providing a comprehensive checklist for authentication, input validation, and sensitive data handling.

Ensures Django project quality and security through comprehensive verification loops including migrations, linting, tests, and security scans.

Enforces test-driven development principles with comprehensive test coverage for new features, bug fixes, and code refactoring.

Provides comprehensive Playwright E2E testing patterns, including Page Object Model and CI/CD integration for stable test suites.

Provides comprehensive guidelines for securing Django applications against common vulnerabilities and ensuring safe deployment.

Enforces code quality in real-time using Plankton, automatically formatting and checking code with integrated linter support.

Enables autonomous workflows in Claude Code, facilitating CI/CD pipelines and multi-agent orchestration for efficient development.

Provides best practices for local development using Docker and Docker Compose, focusing on container security, networking, and orchestration.

Facilitates multi-agent DAG execution based on RFC, ensuring quality gates and unit orchestration for complex workflows.

Outlines best practices for deployment workflows, CI/CD pipelines, and Docker containerization for production-ready web applications.

Manages long-running agent workloads with observability, security boundaries, and lifecycle management for cloud-hosted systems.

Enables secure, high-performance connectivity between on-premises infrastructure and cloud platforms for hybrid cloud architectures.

Facilitates the implementation of Linkerd service mesh patterns for secure, lightweight deployments in Kubernetes environments.

Enables secure service-to-service communication using mutual TLS in zero-trust networking environments.

Designs multi-cloud architectures to optimize service selection and integration across AWS, Azure, and GCP, avoiding vendor lock-in.

Creates structured incident response runbooks with detailed procedures for effective incident management and recovery actions.

Facilitates automated Kubernetes deployments using GitOps workflows with ArgoCD and Flux for continuous reconciliation.

Implements Kubernetes security policies for production-grade security, including RBAC and network isolation for clusters.