Skill UI

Neon Functions provide long-running, stateful, serverless HTTP handlers deployed directly next to your Neon database branch. They are ideal for complex backend workloads that exceed traditional serverless limits, such as real-time WebSockets, Server-Sent Events (SSE) streaming, or sophisticated AI agents. Functions automatically inject the database connection URL and maintain state within the function scope, ensuring high performance and data proximity.

A comprehensive guide for developers working with Supabase. Covers best practices for database interaction, robust authorization using Row Level Security (RLS), secure authentication (Auth), and integrating various Supabase products (Storage, Realtime, Edge Functions). Essential for preventing common security vulnerabilities like BOLA/IDOR and ensuring data integrity across your application stack.

A comprehensive dashboard designed for tracking dating and community engagement metrics. It features real-time signal tickers, key performance indicators (KPIs), 30-day mutual match charts, and match rate trend analysis. Ideal for personal self-improvement or tracking consumer/social trends.

A comprehensive Notion dashboard designed for real-time team operations and performance tracking. It provides a centralized overview by aggregating Key Performance Indicators (KPIs) in a grid format, displaying 7-day trend sparklines, showing live activity feeds, and summarizing tasks in a structured database table. Ideal for project managers and team leads who need a single source of truth for project status and team coordination.

A comprehensive utility for managing complex cmux topologies, including workspaces, panes, and surfaces. This tool is essential for inspecting, controlling, and monitoring multiple AI coding agents running in parallel within a macOS terminal environment. It supports advanced functionalities such as browser automation and real-time status notifications, optimizing developer workflows.

This skill acts as a critical reality-check layer before code generation. It ensures that every function call, import, method, and variable the agent uses is provably available in the user's specific installed environment and version. It prevents runtime bugs caused by hallucinated or improperly assumed APIs, making the generated code robust and reliable.

A comprehensive guide to high-performance analytical database patterns using ClickHouse. Covers advanced topics including MergeTree engine types (Replacing, Aggregating), efficient query optimization techniques (filtering, window functions), bulk data insertion strategies, and setting up materialized views for real-time analytics. Ideal for data engineers and analysts building OLAP systems.

This skill exports cost-tracking telemetry data into formats suitable for external observability platforms like Prometheus, Grafana, and Datadog. It allows cost data, previously confined to the AgentDB namespace, to be visualized and monitored in real-time dashboards via Prometheus textfile collectors or structured JSON webhooks.

This tool enables the creation and management of Dynamic Agentic Architecture (DAA) agents. Unlike static agents, DAA agents possess the ability to learn, adapt their internal behavior based on real-time performance metrics, and continuously evolve through interactions. It facilitates knowledge sharing among multiple agents, ensuring systemic, continuous improvement in complex AI systems. Ideal for scenarios requiring high adaptability and evolving intelligence.

This guide details integrating FoundationModels for running Large Language Models (LLMs) directly on the device (iOS 26). It covers advanced patterns including text generation, extracting structured data using @Generable, implementing custom tool calling for domain logic, and streaming responses for real-time UI updates. Key features emphasize strong privacy and offline capability, ensuring no data leaves the device.

This tool orchestrates the entire firmware rollout lifecycle across large device fleets. It supports controlled, gradual deployment strategies, including canary testing and anomaly-gated advancement. Users can deploy new versions, check real-time status, execute rollbacks, or list all ongoing rollout campaigns, ensuring stable and reliable updates.

This skill helps optimize and verify latency-sensitive systems such as real-time dashboards, market data feeds, and streaming agents. It involves tracking p50/p95/p99 latency, freshness age, and queue depth. You will map hot paths and run live readbacks to ensure performance. Use this when throughput or data freshness matters in engineering contexts.