Skill UI

This skill demonstrates the multi-model pattern for creating robust and clean API contracts using Pydantic. It guides the creation of separate models for creation requests (Create), updates (Update), responses (Response), and database documents (InDB), ensuring type safety and clear data validation for Python backends. It also covers best practices like handling camelCase aliases and optional fields.

An end-to-end workflow for building robust, production-ready Python backend APIs. This guide covers all stages, including project scaffolding, SQLAlchemy database integration, Pydantic validation, implementing JWT/OAuth2 authentication, comprehensive error handling, unit testing, and Docker deployment for modern microservices.

A comprehensive skill set for building robust, type-safe, and highly performant Python 3.11+ applications. This specialist enforces best practices by generating type-annotated code, utilizing async/await patterns, structured dataclasses, and comprehensive error handling. The workflow mandates rigorous validation using tools like mypy (strict mode), black, ruff, and extensive pytest test suites to ensure code quality and reliability.

Automated quickstart guide generator that kicks in whenever you mention the trigger phrase, offering step-by-step technical documentation guidance, code samples, and validation to ensure API docs, user guides, and architecture notes stay production-ready.

Automated guidance for setting up RabbitMQ queues in backend services, covering patterns, code snippets, and validation for Node.js, Python, Go, and microservices messaging scenarios.

Assists with automated guidance on rate limiter configuration as part of Security Fundamentals, offering best practices, production-ready snippets, and validation against standard security patterns whenever rate limiting questions arise.

Automated assistance for building React components, offering best practices, production-ready code generation, and validation guidance for frontend patterns like accessibility and performance optimization.

Automates React Context setup within frontend development, guiding users through best practices, production-ready code, and validation for React-related modern web patterns.

Auto Readme Generator offers guided documentation workflows for DevOps basics, triggering whenever "readme generator" is mentioned, and delivering best-practice code, configurations, and validations to support version control, containerization, and CI/CD.

Automate Realphonevalidation tasks through Composio’s toolkit via Rube MCP, guiding discovery of current tools, managing connections, and executing schema-compliant multi-tool workflows for phone validation operations.

Centralizes proven red team methodologies into an automated reconnaissance and vulnerability discovery workflow that sequences asset discovery, live host validation, fingerprinting, content hunting, and exploit surface analysis for bug bounty and defensive assessments.

Provides automated regression analysis guidance, best practices, code snippets, and validation for SQL, BI, visualization, and statistical workflows in data analytics projects.