Skill UI

Showcases modern Python practices, covering strict 3.12 type hints, dataclasses vs Pydantic decisions, asyncio/httpx patterns, src-layout projects, pyproject tool configs, virtual env workflows, and pytest guidance for reliable codebases.

This comprehensive workflow guides the end-to-end implementation of Retrieval-Augmented Generation (RAG) systems. It covers critical stages, including selecting optimal embedding models, setting up vector databases, designing chunking strategies, implementing hybrid retrieval, integrating Large Language Models (LLMs), and performing rigorous evaluation. Use this when building knowledge-grounded AI applications or advanced semantic search systems.

This skill guides developers through modernizing React applications. It covers migrating from class components to functional components using hooks, upgrading React versions, adopting concurrent features (like Suspense), and applying automated refactoring techniques using codemods. It is essential for maintaining high-performance, modern React codebases and integrating TypeScript.

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 comprehensive guide details how to optimize the Replit development environment. It covers setting up run commands, implementing hot reloading for various languages (Node.js, Python), configuring ports, managing development vs. production databases, and leveraging the Replit Agent for powerful AI-assisted coding. Use this guide when setting up a new project or refining your entire dev workflow.

This guide provides a comprehensive reference architecture for building robust, production-grade applications on Replit. It covers best-practice project layouts, system-level configurations (like replit.nix), data layer strategies (PostgreSQL, KV, Object Storage), and secure deployment techniques. Use it when starting a new Replit project, optimizing existing codebases, or establishing enterprise-level architectural standards.

This comprehensive guide outlines the necessary steps for major Replit environment upgrades and data migration. It covers updating Nix channels, upgrading runtimes (Node.js, Python), and migrating critical data from Replit KV databases to PostgreSQL or Object Storage. It also details switching between deployment types, ensuring a smooth and stable transition for production applications.

Performs OWASP-guided security scans on PostgreSQL and MySQL databases via the database-security-scanner plugin, identifying weak passwords, SQL injection risks, and misconfigurations while generating reports and remediation advice.

Runs Semgrep static analysis with auto language detection, parallel Task subagents, Semgrep Pro checks, and configurable “run all” or “important only” modes to audit codebases for vulnerabilities and bug patterns.

Automates Sequelize model creation for backend development, offering step-by-step guidance, best practices, and production-ready code/config validation when working with Node.js, Python, Go, databases, caching, messaging, and microservices.

Automates Snowflake data warehouse workflows via the Composio MCP, letting you list databases, schemas, and tables, run SQL (SELECT, DDL, DML), and integrate those operations into cross-app pipelines for faster data ops.

A specialized reverse-engineering skill designed to extract comprehensive functional and non-functional specifications from existing, undocumented, or legacy codebases. It operates by analyzing code structure, tracing data flows, and identifying observable behaviors. The output is structured using EARS (Easy Approach to Requirements Syntax), providing clearer requirements documentation, architectural diagrams, and dependency maps for onboarding or system modernization.