Skill UI

Automates fastify plugin creation within backend development workflows by guiding through best practices, generating production-ready code, and validating configurations for microservices, caching, and database integrations.

Scans Android APKs for Firebase misconfigurations, testing databases, storage, authentication, and cloud functions to surface vulnerabilities during mobile security audits.

Provides a robust, event-driven reference architecture for building meeting intelligence platforms using Fireflies.ai. This guide details the full production pipeline, covering multi-source meeting ingestion (Zoom, Teams), webhook processing, and subsequent data enrichment into structured action items, analytics reports, and database storage. Ideal for designing complex integrations or advanced meeting analytics systems.

This comprehensive workflow guides the entire lifecycle of building a complex full-stack feature, from initial architectural design to final integration testing. It enforces an API-first approach, ensuring that the database schema, backend services, and frontend components are developed cohesively, promoting scalability, testability, and adherence to modern industry best practices.

This skill guides the development of robust, security-focused full-stack web applications. It ensures layered security coverage across the entire application stack, from database queries (parameterized queries) to API endpoints (authentication/authorization) and frontend components (input validation, output encoding). Use this when building end-to-end features, microservices, or REST APIs that require simultaneous attention to Frontend, Backend, and Security best practices.

Automatically generate thorough database documentation using database-documentation-gen, covering ERD diagrams, relationships, columns, indexes, triggers, procedures, and interactive HTML reports whenever you need schema insight for onboarding, reviews, or governance.

Generates realistic database seed data and scripts for development or testing, leveraging Faker libraries to respect schema constraints, maintain relationships, and allow configurable volumes for quick population of demo or test environments.

Generates ORM models and database schemas for frameworks like TypeORM, Prisma, Sequelize, SQLAlchemy, Django ORM, Entity Framework, and Hibernate, translating user requests into ready-to-use model code or schema definitions to accelerate backend development.

Generate complete, production-ready REST API implementations from existing OpenAPI specifications or database schemas. This skill scaffolds all necessary CRUD endpoints (GET, POST, PUT, DELETE) across multiple frameworks (Express, FastAPI, Spring Boot, etc.), automatically incorporating features like pagination, filtering, validation, and robust authentication middleware. Ideal for rapidly bootstrapping complex backend services from defined data models.

Generates realistic users, products, orders, or schema-driven data via the test-data-generator plugin for populating test databases, simulating user behavior, and creating fixtures for automated or API testing.

Automates GraphQL resolver creation for backend teams, giving step-by-step guidance, industry best practices, and production-ready code/configs to validate resolvers across Node.js, Python, Go, database design, caching, messaging, and microservices.

Automatically assists backend developers with gRPC service generation, offering best-practice patterns, multi-language scaffolds for Node.js, Python, Go, and validating configs for databases, caching, and messaging to stay production-ready.