Skill UI

This provides a local development loop for integrating the OpenEvidence clinical decision support API. Developers can build health-tech tools and quickly iterate using mock evidence queries, citation responses, and clinical summaries. It supports toggling between mock mode for rapid development and sandbox mode for validation against the real platform, ensuring development uses de-identified data.

Run local Lighthouse audits via CLI or Node API, parse JSON/HTML reports, enforce performance budgets, integrate with CI (Actions/LHCI), and compare builds to catch regressions before deploys.

A comprehensive guide and implementation for setting up a fast, cost-effective local development loop for the Perplexity Sonar API. It includes generating type-safe client wrappers, utilizing fixtures for reliable mocking, and establishing a complete test suite with hot-reloading capabilities. This ensures stable development and manages high API call costs during iteration.

Guides building productivity-first tools by scratching your own itch—rapid prototyping, CLI/local-first apps, scripting to product evolution, and dogfooding for reliable personal workflows.

This guide details the recommended pattern for managing per-project plugin settings and state within a development environment. Plugins store their configuration in a dedicated `.claude/plugin-name.local.md` file. This file utilizes YAML frontmatter for structured settings (like enabling flags, retry counts, and parameters) and a Markdown body for additional context or instructions. It provides techniques for reading these settings using Bash hooks, commands, and agents.

This guide provides a comprehensive workflow for setting up a robust local development environment for PostHog integrations. It covers enabling debug mode for real-time event inspection, implementing mocking strategies for stable unit testing, and configuring integration tests using a dedicated development PostHog project. Use this when building or testing analytics tracking features with posthog-js or posthog-node to ensure fast, isolated development cycles.

A comprehensive guide to modern React state management patterns. It covers various state types—including local, global, server, and form state—and demonstrates best practices using industry-leading libraries like Redux Toolkit, Zustand, Jotai, and React Query. Use this when building complex, scalable React applications and needing to select the optimal state solution.

This skill functions as an expert technical writer, generating comprehensive and structured README.md documentation for software projects. It meticulously analyzes the codebase, identifying project structure, tech stack, prerequisites, dependencies, and deployment pipelines, ensuring users receive a complete guide for local setup and production deployment.

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.

A comprehensive guide for migrating existing applications from platforms like Heroku, Railway, Vercel, and local development environments to Replit. It covers critical steps such as converting configuration files (Procfile to .replit), adapting to Replit's Nix-based system, and performing database migrations (PostgreSQL, MongoDB). Essential for developers upgrading or moving their deployment stack.

This guide details essential patterns for building fault-tolerant and highly available Replit applications. It covers handling cold starts, implementing graceful shutdowns (via SIGTERM), and crucially, migrating persistent application state from ephemeral local filesystems to robust external storage (like Replit KV or Object Storage). Essential for production-grade deployments.

This skill provides implementation patterns for developing local voice agents and automating phone calls using the Retell AI SDK. It guides developers through the necessary steps for integrating complex real-time voice interactions, telephony platforms, and building automated customer service agents, ensuring robust development and error handling practices.