Skill UI

This advanced AI skill converts raw study materials—such as syllabi, past exam papers, or personal notes—into a structured, prioritized, and difficulty-ranked High Score Roadmap. It covers all key question types (Theory, Numerical, MCQ, Coding, Lab) and optimizes study flow by ordering topics from Easy to Hard. Use it for targeted revision, gap analysis, and predicting high-yield exam questions.

This guide details how to elevate localized or descriptive agricultural findings into general scientific contributions suitable for high-impact journals. It teaches authors how to identify unresolved biophysical gaps, connect results to broad crop-yield mechanisms, and structure their introduction to prove general relevance rather than merely reporting local data.

This skill provides comprehensive guidance for submitting research to npj Computational Materials. It defines the journal's scope, requiring rigorous computational methods (DFT, MD, ML, high-throughput screening) that yield generalizable materials insights or predictive capabilities. It educates authors on the required standards, including methodological rigor, reproducibility, and adherence to FAIR data principles, helping authors re-frame their work for a high-impact venue.

This skill provides production-ready smart contract templates for building decentralized finance applications. It covers essential components such as staking mechanisms, automated market makers (AMMs), governance token systems, and lending protocols. Ideal for developers implementing Solidity-based DeFi infrastructure, including yield farming and flash loan integrations. Use this when creating secure and scalable blockchain financial systems.

This advanced AI skill converts raw study materials—such as syllabi, past exam papers, or personal notes—into a structured, prioritized, and difficulty-ranked High Score Roadmap. It covers all key question types (Theory, Numerical, MCQ, Coding, Lab) and optimizes study flow by ordering topics from Easy to Hard. Use it for targeted revision, gap analysis, and predicting high-yield exam questions.

A practical, jargon-free guide to fp-ts functional programming, focusing on the 80/20 approach that yields results without academic overhead. Ideal for TypeScript developers handling nullable values, errors, or async operations, and for refactoring imperative code to functional style.

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.

Connect to MAXIA AI-to-AI marketplace on Solana. Discover, buy, and sell AI services, earn USDC. Includes 13 MCP tools, A2A protocol, DeFi yields, sentiment analysis, and rug detection.

This skill analyzes multiple asset classes, including US Treasuries, Dividend ETFs, REITs, and Preferred Stocks, to help users build a high-yield portfolio. By setting a target monthly income and available capital, it calculates optimal asset allocation and ranks opportunities based on risk-adjusted returns, supporting retirement and passive income planning.

A standardized framework and data model for tracking DeFi yield strategy allocations across multiple vaults, including APY benchmarks, impermanent loss risk tiers, and rebalancing triggers. Generates CSV, SQL DDL, JSON Schema, and Notion property registers for compliance and CI integration.