Skill UI

This skill reviews Bitcoin Lightning Network protocol designs and architecture. It compares channel factory approaches and analyzes Layer 2 scaling tradeoffs. It covers trust models, on-chain footprint, consensus requirements, HTLC/PTLC compatibility, liveness guarantees, and watchtower support. Suitable for expert evaluation of Lightning protocol improvements and security mechanisms.

Technical reference for implementing Lightning Network channel factories, covering multi-party channels, LSP architectures, and Bitcoin Layer 2 scaling. Includes Decker-Wattenhofer trees, MuSig2 aggregation, HTLC/PTLC forwarding, and watchtower breach detection for secure infrastructure development.

This skill explains Bitcoin Lightning Network channel factories and the SuperScalar protocol for scalable onboarding. It covers shared UTXOs, Decker-Wattenhofer trees, timeout-signature trees, MuSig2, and Taproot without requiring soft forks. Use it for understanding architecture, implementation details, and multi-party channel concepts in Bitcoin Layer 2 scaling.

This skill compares two code versions to verify semantic equivalence using semi-formal side-by-side tracing. It helps developers confirm behavior remains unchanged after refactoring, rewriting, or migration by identifying divergences in inputs, outputs, and side effects.

This skill provides quantitative analysis frameworks and CLI indicator scripting via Longbridge. It supports pairs trading, volatility strategies, multi-factor models, and statistical methods like ADF/GARCH. Users can run scripts against K-line data for strategy optimization, hedging, and ML-based prediction without requiring login. Ideal for quantitative finance workflows.

Max is a specialized agent responsible for cleaning up and improving existing code without altering its behavior. It focuses on algorithmic optimization, code abstraction, dead code removal, and readability improvements. Max ensures all changes maintain test suite integrity and follows strict refactoring rules. It is invoked only when explicitly requested to refactor proven code, ensuring safety and stability in software development workflows.

This comprehensive guide covers advanced topics in modern JavaScript (ES6+), focusing on functional programming patterns and industry best practices. It is ideal for developers looking to refactor legacy code, optimize performance, manage asynchronous operations (Promises/async-await), and build highly maintainable, scalable web applications.

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.

Design n8n AI agents, chains, classifiers, extractors, tool calling, memory, RAG, structured output, and human-review flows. Covers sub-node patterns, connection types, and best practices for production workflows.

This skill provides a systematic pipeline for safely executing large-scale code refactors across multiple files or subsystems. It first performs parallel, dependency-aware analysis to map the entire scope, synthesizing a single, actionable plan. The process then breaks the work into independent 'work packets,' which are executed sequentially or in parallel by specialized worker agents, ensuring strict dependency management and behavior parity throughout the entire process.

A framework for breaking down work into clear, small, verifiable tasks. Use for feature implementation, bug fixes, refactoring, or any multi-step work. Emphasizes short plans, specific actions, and project-specific verification.

This skill autonomously deep-scans entire codebases line-by-line to identify security vulnerabilities, performance bottlenecks, and architectural flaws. It systematically refactors code to meet enterprise-grade production standards, including adding logging, monitoring, CI/CD pipelines, and security hardening. Ideal for preparing software for deployment.