Skill UI

This tool aggregates breaking news from over 50 authoritative cryptocurrency sources using real-time RSS feeds. Users can filter news by specific coins (e.g., BTC, ETH), categories (DeFi, NFT), time periods, or relevance score. It is ideal for market analysis, monitoring major announcements, or tracking sector developments in depth.

This tool analyzes the overall sentiment of the cryptocurrency market. It combines three key indicators—the Fear & Greed Index, real-time news analysis, and price/volume momentum—to generate a composite score (0-100). Users can check general market mood or focus on specific digital assets (e.g., BTC) to inform trading decisions and identify potential contrarian signals.

This tool analyzes the overall sentiment of the cryptocurrency market. It combines three key indicators—the Fear & Greed Index, real-time news analysis, and price/volume momentum—to generate a composite score (0-100). Users can check general market mood or focus on specific digital assets (e.g., BTC) to inform trading decisions and identify potential contrarian signals.

This tool analyzes cryptocurrency options flow from major derivatives exchanges (e.g., Deribit). It tracks open interest, calculates put/call ratios, and analyzes implied volatility to identify institutional positioning, gauge market sentiment, and detect significant trading activity (block trades) in BTC and ETH options. It is essential for quantitative traders and market analysts seeking to predict market movements.

This tool analyzes cryptocurrency options flow from major derivatives exchanges (e.g., Deribit). It tracks open interest, calculates put/call ratios, and analyzes implied volatility to identify institutional positioning, gauge market sentiment, and detect significant trading activity (block trades) in BTC and ETH options. It is essential for quantitative traders and market analysts seeking to predict market movements.

Provides comprehensive frameworks and best practices for conducting thorough competitive landscape analysis. This skill helps users systematically analyze market competition, identify potential market gaps, pinpoint differentiation opportunities, and develop robust, winning market positioning strategies to secure a sustainable competitive advantage.

Uses the Gemini API to autonomously plan, search, read, and synthesize detailed research reports with streaming status updates, structured outputs, and the ability to continue previous investigations for market analysis, technical reviews, or due diligence.

This advanced workflow enables users to perform deep analyses on large-scale people intelligence datasets. Users can build custom queries with multi-dimensional filters, run comparisons across different candidate pools (e.g., Q1 vs Q4), and aggregate skill density by geographical region. It is essential for talent acquisition teams needing to identify market trends and optimize hiring strategies beyond standard search functions.

Structured guidance for TAM/SAM/SOM calculations, combining top-down, bottom-up, and value-theory methods for startup market analysis and fundraising planning.

This comprehensive skill guides the entire product marketing lifecycle, from defining Ideal Customer Profiles (ICP) and developing core positioning statements (e.g., Dunford's method) to executing Go-To-Market (GTM) strategies and product launch plans. It also covers competitive intelligence, building detailed battlecards, and improving sales enablement through win/loss analysis, ensuring successful market entry and adoption across international markets.

A comprehensive workflow utilizing the Perplexity Sonar API for advanced, multi-turn research. It systematically decomposes broad topics into focused sub-queries, executes batch queries while maintaining context continuity, deduplicates citations, and synthesizes all findings into a structured, comprehensive research document. Ideal for academic research, market analysis, and generating detailed investment or industry briefs.

This skill simulates the role of a quantitative analyst, providing comprehensive tools for building complex financial models, backtesting trading strategies, and analyzing market data. It covers advanced topics like portfolio optimization (Markowitz, Black-Litterman), calculating risk metrics (VaR, Sharpe ratio), and performing statistical arbitrage. Ideal for quantitative finance professionals needing rigorous data analysis, robust backtesting, and risk-adjusted performance evaluation.