copilot-collections

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

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.

Identify and structure epics and user stories from workshop materials (cleaned transcripts, Figma designs, codebase analysis, and other documents). Produces a business-oriented task breakdown with dependencies, assumptions, and open questions.

Analyze extracted epics and user stories for quality gaps, missing edge cases, and improvement opportunities. Runs domain-agnostic analysis passes, optionally enriches findings with Jira board context, and produces accept/reject suggestions that refine the task list before Jira formatting.

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

Discover and establish technical context before implementing any feature. Prioritize project instructions, existing codebase patterns, and external documentation in that order. Use for any task requiring understanding of project conventions, coding standards, architecture patterns, and established practices before writing code.

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.

LLM prompt engineering patterns: structure, optimization, security, templates, evaluation, and anti-patterns. Use when designing, writing, optimizing, or reviewing prompts for LLM applications (system prompts, user prompts, RAG templates, agent instructions, chatbot personas). NOT for Copilot customization — use tsh-creating-prompts for that.

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.

Backend service implementation patterns, standards, and procedures. Use for building REST/GraphQL APIs, implementing CRUD endpoints, database handling, authentication, testing strategies, external service integrations, filtering/pagination (DataGrid), logging, Docker setup, and modular architecture. Applies to Node.js, PHP, .NET, Java, and Go backends.

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.

Secrets management patterns for cloud and Kubernetes environments. Use when implementing secure credential storage, rotation, or CI/CD authentication.

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.

Frontend rendering optimization, code splitting, memoization strategies, bundle size control, asset optimization, and memory management. Use when optimizing component rendering, reducing bundle size, debugging performance issues, implementing lazy loading, or reviewing code for performance regressions.

Frontend-specific code review criteria, component anti-patterns, hooks quality, rendering correctness, accessibility and performance spot-checks, and module organization issues. Use when reviewing frontend pull requests, auditing component quality, or identifying UI-specific code smells beyond general code review.

SQL writing and database engineering patterns, standards, and procedures. Use for designing database schemas, writing performant SQL queries, normalisation strategies, indexing, joins optimisation, locking mechanics, transactions, query debugging with EXPLAIN, and ORM integration. Applies to PostgreSQL, MySQL, MariaDB, SQL Server, and Oracle. Covers ORM usage with TypeORM, Prisma, Doctrine, Eloquent, Entity Framework, Hibernate, and GORM.

Analyse task description, performs gap analysis, expand the context for the task, analyse the current state of the system in the context of the task, helps build PRD, creates a context for the task, gathers information about the task from different sources.

Clean raw workshop or meeting transcripts from small talk, filler words, and off-topic tangents. Extract and structure business-relevant content into a standardized format with discussion topics, key decisions, action items, and open questions.

UI verification criteria, structure checklists, severity definitions, and tolerance rules for comparing implementations against Figma designs. Use for verifying UI matches design, understanding what to check, and determining acceptable differences.

Custom hook and composable patterns — naming, composition, stable return shapes, lifecycle cleanup, and testing strategies. Use when writing reusable logic units (React hooks, Vue composables), refactoring logic into hooks, debugging hook behavior, or reviewing hook implementations.