Design the architecture to solve a given task. Propose the solutions to be used to deliver the task following the best practices and standards.

Perform code review. Quality analysis. Acceptance criteria verification. Best practices review.

Analyse the codebase of the system. Look for dependencies. Understand how the business logic is implemented. Look for duplications.

Create custom agents (.agent.md) for GitHub Copilot in VS Code. Provides templates, guidelines, and a structured process for building agent definitions that describe behavior, personality, responsibilities, and problem-solving approaches. Use when creating, reviewing, or updating .agent.md files.

Creates custom instruction files (.instructions.md) for GitHub Copilot in VS Code. Covers repository-level instructions (copilot-instructions.md) and granular file-based instructions with applyTo glob patterns. Provides templates and decision framework for instruction vs. skill placement. Use when creating, reviewing, or updating .instructions.md files.

Create custom prompt files (.prompt.md) for GitHub Copilot in VS Code. Provides templates, guidelines, and a structured process for building prompt files that trigger specific workflows routed to the right custom agent and AI model. Use when creating, reviewing, or updating .prompt.md files.

Create new skills (SKILL.md) for GitHub Copilot. Provides naming conventions (gerund form), description guidelines, body structure, progressive disclosure patterns, templates, and validation checklists. Use when creating, reviewing, or updating SKILL.md files, or when discussing skill design and organization.

Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.

E2E testing patterns, verification procedures, and CI readiness checklists using Playwright. Use for writing, debugging, or reviewing end-to-end tests, fixing flaky tests, creating Page Objects, mocking external APIs.

WCAG 2.1 AA compliance, semantic HTML, ARIA patterns, keyboard navigation, focus management, screen reader support, and color contrast requirements. Use when implementing accessible components, auditing UI for accessibility issues, reviewing frontend code for a11y compliance, or building inclusive forms and interactive widgets.

Implementation gap analysis. Verify what has to be implemented. Verify what was implemented. Compare plan to current state.

CI/CD pipeline design patterns and deployment strategies. Use when designing pipelines, implementing deployment strategies, or setting up automated delivery.

Form architecture, schema-based validation, field composition, error handling, multi-step form flows, and accessible form patterns. Use when building forms, implementing validation, creating multi-step wizards, or integrating form fields with a component library.

Frontend component patterns, composition, design token integration, barrel file organization, error handling, and Figma-to-code workflow. Use when implementing UI components, translating Figma designs into code, managing component state, or integrating with a design system.

Kubernetes deployment patterns, Helm charts, and cluster management. Use when deploying applications to K8s, designing workload configurations, implementing scaling strategies, or managing cluster resources.

Observability patterns for logging, monitoring, alerting, and distributed tracing. Use when implementing metrics collection, log aggregation, alerting rules, or distributed tracing across services.

Build reusable Terraform modules for AWS, Azure, and GCP infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.

Transform extracted epics and user stories into Jira-ready format following a benchmark template. Handles field mapping, formatting for Jira markdown compatibility, two-gate user review, and guidance for Jira issue creation via Atlassian tools.

Optimize cloud costs through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing cost governance policies.