Skill UI

Master Minecraft server plugin development using Bukkit, Spigot, and Paper APIs. Covers event-driven architecture, performance optimization, internal mechanics, and ecosystem integration for Java-based server plugins.

A comprehensive automation toolkit for Mixpanel product analytics, accessible via Rube MCP. Automate key data tasks including event aggregation, detailed segmentation, conversion funnel analysis, user profile management, cohort tracking, and running custom JQL queries. Ideal for data analysts and product managers needing to deeply analyze user behavior patterns.

This skill provides comprehensive strategies and technical blueprints for monetizing digital products, especially SaaS platforms. It covers everything from defining advanced pricing models (freemium, value-based pricing) and optimizing revenue flows (LTV/CAC, churn prevention) to practical Stripe integrations. Use it when you need to set up subscription plans, process webhooks, or implement automated billing cycles for your software.

Surfaces Monte Carlo data observability insights—health, lineage, alerts, and monitors-as-code—before developers edit dbt models or SQL pipelines, ensuring risk-aware code changes.

This skill acts as an anti-over-engineering guardrail, instructing AI coding agents to maintain strict scope control and minimalism. It guides the AI to only modify the files and lines explicitly requested by the user, avoiding unnecessary abstractions, unrequested refactors, or scope creep. Use it when you prefer the simplest, most direct solution and want to prevent the agent from 'grinding' the code base.

A robust, production-tested pattern for coordinating multiple specialized AI agents. The orchestrator decomposes complex tasks, routes them to the most suitable specialist, prevents redundant or conflicting work (anti-duplication), and enforces mandatory quality gates (e.g., running tests, checking file diffs) to verify results before marking a task as complete. It also includes heartbeat monitoring for task progress.

Handle n8n files and binary data across uploads, downloads, transforms, multimodal inputs, agent tools, and chat surfaces. Covers where binary lives, how to read/write it, preventing data loss, and the AI-agent tool boundary.

This skill covers designing visible and recoverable error handling for n8n workflows. It focuses on using error outputs, retry mechanisms, and Error Trigger workflows to prevent silent failures in unattended automation. Learn how to configure node-level retries and wire error paths correctly to ensure alerts and diagnostics are exposed only when necessary.

Safely select and switch between multiple n8n MCP instances (production, staging, etc.) before performing operations. Prevents silent misrouting by verifying the target instance, especially for credential writes. Ensures correct environment targeting for workflow automation tasks.

Configure New Relic for full-stack observability: install infrastructure agents on Linux, Docker and Kubernetes, integrate APM agents for Node.js, Python, Java and Go, add custom events, metrics and spans, and write NRQL queries for dashboards and alerts.

This skill generates scientifically accurate plots from NEXRAD Level II/III site scans and decoded radar mosaics. It ensures correct radar geometry, map grids, units, quality masks, timestamps, and data provenance. Suitable for meteorological analysis, it supports plotting reflectivity, radial velocity, dual-polarization moments, and various views like PPI, RHI, and cross-sections. It validates data integrity before visualization to prevent misleading interpretations.

Analyzes options chain data by separating real calls and puts from lottery-like speculative contracts to produce more reliable put/call sentiment, anomaly detection, and expiry breakdowns for watchlists, sectors, and event-driven names.