symfony

More from krzysztofsurdy/code-virtuoso

• symfony-components

  Comprehensive reference for all 38 Symfony framework components with PHP 8.3+ and Symfony 7.x patterns. Use when the user asks to implement, configure, or troubleshoot any Symfony component including HttpFoundation, HttpKernel, DependencyInjection, Form, Validator, Cache, Messenger, Console, EventDispatcher, Workflow, Serializer, Security, Routing, Twig, Doctrine integration, or any other Symfony component. Covers APIs, configuration, best practices, and common pitfalls.

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• scrum

  Scrum framework fundamentals, sprint goal writing, and agile ceremony facilitation. Use when the user asks to plan a sprint, write sprint goals, facilitate daily scrums, run sprint reviews or retrospectives, define scrum roles, manage the product backlog, or apply agile estimation techniques. Covers the three pillars (transparency, inspection, adaptation), scrum artifacts, goal-writing templates (SMART, FOCUS, FAB), and team velocity tracking.

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• git-workflow

  Git workflow patterns and version control best practices for teams of any size. Use when the user asks to choose a branching strategy (trunk-based, GitHub Flow, Git Flow, GitLab Flow), define commit conventions, set up PR workflows, plan release management, structure a monorepo, or establish team git standards. Covers branch naming, merge vs rebase, conventional commits, semantic versioning, changelog generation, and protected branch policies.

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• performance

  Application performance optimization patterns and profiling-driven methodology. Use when the user asks to optimize application speed, reduce latency, diagnose slow queries, fix N+1 problems, implement caching layers, profile memory usage, tune database queries, apply lazy loading, configure connection pooling, or set performance budgets. Covers CPU and memory profiling, caching strategies (application, HTTP, CDN), query optimization, indexing, and load testing approaches.

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• database-design

  Database design patterns and data modeling for relational and NoSQL databases. Use when the user asks to design a database schema, normalize or denormalize tables, create indexing strategies, plan schema migrations, model temporal data, implement audit trails, set up table partitioning, or optimize data access patterns. Covers entity relationships, naming conventions, constraint design, migration safety, and performance-oriented schema decisions.

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• product-manager

  Agent team role for product ownership and requirements definition. Use when the user asks to write a PRD, gather requirements, define acceptance criteria, prioritize features, scope an MVP, write user stories, or make product trade-off decisions. Owns the "what" and "why" — translates business goals and user needs into clear, prioritized requirements for the engineering team.

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