Skill UI

Curated upstream guidance for Longbridge Research. Provides institutional data, sell-side research, and investment research frameworks including analyst ratings, consensus estimates, financial calendars, shareholder data, insider trades, short selling data, industry rankings, peer group trees, investment idea generation, investment proposals, coverage initiation, competitive analysis, financial planning, DeFi yield analysis, and on-chain data. Use when the user's goal matches the documented workflows.

Add and verify a Mailtrap sending domain: publish SPF, DKIM and DMARC records, troubleshoot DNS propagation, automate setup via API and DNS provider APIs, and complete compliance for live email sending.

This skill provides comprehensive guidance on Makepad 2.0's Domain Specific Language (DSL) syntax for building UI code. It covers key rules like property assignment, named instances, merge operators, and registration patterns. Use this when developing or debugging Makepad applications to understand the runtime script_mod! macro and Splash scripting language.

This skill assists developers in writing and understanding Makepad DSL code for the Rust makepad-widgets crate. It covers syntax rules, object definitions, inheritance patterns, property overriding, and linking Rust structs to UI prototypes. Use it for live_design! macro implementation, widget composition, and UI styling within Makepad applications.

Expert skill for Makepad UI layout system. Helps generate layout code, explain sizing/alignment concepts, configure Walk/Align/Fit/Fill properties, and solve positioning challenges for widgets in Makepad applications. Supports responsive design, centering, and container flow configuration.

A specialized skill for achieving asymptotic performance gains when classical algorithms are already near optimal. It leverages advanced mathematical techniques and probabilistic data structures (e.g., Bloom Filters, HyperLogLog, FFT, MinHash/LSH) to handle massive datasets (n ≥ 10⁶) by accepting bounded approximations or exploiting deep structural properties. Requires strict adherence to error parameter and complexity justification protocols.

Routes ambiguous data-observability requests to the appropriate Monte Carlo skill or workflow. Activates reactively for unclear alerts, incidents, coverage gaps, or general data quality issues, asking clarifying questions first to avoid premature tool calls.

Provides a decision framework and patterns for designing applications across AWS, Azure, and GCP. Covers service comparison, migration strategies, cost optimization, and cloud-agnostic patterns like Kubernetes and Terraform. Helps architects select appropriate services and implement resilient infrastructure.

Operation-aware guidance for configuring n8n nodes, understanding property dependencies, determining required fields, choosing get_node detail levels, and learning common configuration patterns by node type.

A comprehensive guide detailing the implementation of the Neo-Brutalist design aesthetic. It specifies core principles, including hard drop shadows, thick black outlines, and high-contrast flat colors. Includes detailed, platform-specific code examples for Web (CSS), SwiftUI, and Flutter, helping developers achieve a playful yet structured, high-impact UI look.

Unified LLM inference layer built into Neon branches: one credential and one OpenAI-compatible API for frontier and open-source models from seven providers. Switch models without rewiring, wire it into OpenAI/Anthropic SDKs, and keep AI requests branch-scoped.

This skill guides users to configure and test common network services like HTTP, HTTPS, SNMP, and SMB within a controlled penetration testing lab environment. It covers service enumeration, log analysis, and security testing procedures. Users will learn to set up web servers, secure connections, and file shares while practicing defensive and offensive security techniques on properly configured target systems.