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.

Expert in designing and implementing advanced Retrieval-Augmented Generation (RAG) pipelines. This role focuses on optimizing the entire information retrieval process—from document chunking and embedding model selection to vector database architectures and hybrid search strategies. The goal is to bridge the gap between raw knowledge documents and accurate LLM understanding, drastically reducing hallucination and enhancing context relevance for enterprise applications.

Specializes in building modern, high-performance Rails 7+ web applications. Expertise includes optimizing Active Record queries (N+1 prevention), implementing partial page updates with Hotwire (Turbo Frames/Streams), handling real-time communication via Action Cable, and managing background jobs using Sidekiq. The process includes rigorous RSpec testing and database schema management.

A comprehensive guide to selecting the optimal architecture for Replit applications. It compares three scaling models—single-file scripts (prototypes), modular apps (MVPs), and multi-service systems (large scale)—to help developers choose the correct database, storage, and deployment strategy as their project grows.

This comprehensive guide serves as a quick reference for diagnosing and fixing the most common technical errors encountered in the Replit development environment. It covers critical infrastructure issues such as container lifecycle failures, port binding conflicts, Nix build failures, database limitations, and deployment timeouts, ensuring users can effectively troubleshoot and maintain continuous development workflows.

This comprehensive workflow guides developers through building a production-ready, full-stack web application entirely within the Replit environment. It covers setting up the entire architecture, including Express/Flask backend logic, robust PostgreSQL database integration for persistent data, implementing secure user authentication using Replit Auth, and managing file uploads via Object Storage. It is the definitive guide for launching a complex, scalable SaaS project from scratch.

Comprehensive guide to managing data securely in Replit applications. This skill covers three core storage systems: PostgreSQL for structured data and complex queries; Replit KV Database for caching and session management; and Object Storage for file uploads and blobs. Learn best practices including parameterized queries, TTL implementation, and secure data access patterns.

Automatically collects comprehensive diagnostic information for Replit workspaces, deployments, and databases. This tool gathers system state, runtime versions, environment variables, network logs, and package details. It is essential for troubleshooting persistent issues or preparing detailed evidence for support tickets.

This skill guides users through building a minimal yet comprehensive working application on the Replit platform. It demonstrates how to integrate and use core platform services such as the built-in Key-Value Database, Object Storage for file handling, user Authentication, and standard web frameworks (Express/Flask). Use this guide when starting a new Replit project or when learning the foundational infrastructure services provided by the platform.

A comprehensive runbook for managing critical incidents within the Replit platform. It guides users through rapid triage (P1-P4 severity), diagnosing deployment crashes, database connection failures, and platform outages. Includes detailed steps for remediation, rollback procedures, and communication templates to restore service quickly and effectively.

This comprehensive guide provides detailed steps for load testing and capacity planning of Replit deployments. Learn how to benchmark performance using industry tools like k6 and autocannon, optimize Autoscale behavior, right-size Reserved VMs, and manage database connection pools. It covers optimizing cold start times and ensuring high availability under variable and peak traffic loads.