Skill UI

Provision instant temporary Postgres databases via Neon's Claimable Postgres without login, signup, or credit card. Supports REST API, CLI, and SDK for quick prototyping, testing, and local development. Databases expire after 72 hours unless claimed to an account. Ideal for throwaway DATABASE_URLs, demos, and environments requiring no persistent setup.

Comprehensive reference for configuring and using Claude Code, covering project instructions (CLAUDE.md), advanced features like debugging and thinking keywords, and best practices for iterative development and efficient context management.

This skill monitors the performance of Claude Code and the local operating system. It diagnoses slowdowns, measures CPU/RAM/Disk usage, checks API latency, and generates detailed system health reports. It helps determine if the bottleneck is local hardware or the remote API connection, providing actionable corrective suggestions to improve the development workflow.

This skill provides expert patterns for implementing Clerk authentication, including middleware setup, organization management, webhooks, and user synchronization. It covers sign-in, sign-up, and single sign-on (SSO) workflows for multi-tenancy scenarios. Use this for backend development tasks involving user identity management and secure access control.

A comprehensive workflow bundle covering the entire cloud-native development lifecycle. It guides users through critical phases, including cloud infrastructure setup (AWS, Azure, GCP, Terraform IaC), container orchestration with Kubernetes, robust CI/CD pipeline automation, observability implementation, security hardening, cost optimization, and disaster recovery planning. This ensures best practices across all stages of modern application deployment.

Learn to build and deploy edge functions using Cloudflare Workers and Wrangler CLI. This skill covers creating lightweight APIs, microservices, and middleware for origin servers. It includes setting up cron jobs, managing KV storage, and deploying to the global edge network with sub-millisecond latency. Ideal for developers needing scalable serverless solutions.

This skill helps identify technical debt in software projects by analyzing code and change history. It estimates impact, prioritizes improvements, and creates actionable remediation plans. Focuses on code quality, architecture, testing, and infrastructure issues to reduce maintenance costs and improve development velocity.

This skill helps transform code reviews from simple gatekeeping into a powerful knowledge-sharing mechanism. It guides users through systematic analysis of code changes, focusing on correctness, security, performance, and maintainability. Use it when reviewing pull requests, establishing best practices, or mentoring developers to ensure high-quality, robust codebase development.

A skill for building UI with a core component library and design system patterns. Provides guidance on using design tokens for spacing, colors, and typography, and includes patterns for Box, HStack, VStack, Text, Button, Input, and Card components. Ideal for consistent, maintainable UI development.

This expert analyzes and refactors existing codebases to enhance quality, maintainability, and performance. It specializes in applying clean code principles, SOLID design patterns, and modern software engineering best practices. Use it to clean up technical debt, simplify complex modules, or prepare a codebase for new feature development.

This skill helps identify technical debt within software codebases by analyzing code and change history. It estimates the impact of debt items and prioritizes improvements based on ROI. Users can generate actionable remediation plans, assess risks, and track metrics like code complexity and test coverage to maintain software quality and development velocity.

This skill applies a rigorous, evidence-first discipline to coding tasks, inspired by Fable-like best practices. It guides agents through a structured workflow: inspecting the workspace, tracking goals and findings, grounding all conclusions in verifiable evidence, and executing thorough verification gates before declaring completion. Ideal for complex development, debugging, or adapting cross-model prompt guidance into robust, verifiable project rules.