Data & Analytics
Data analysis, BI, visualization, datasets, statistics, and ML workflows
Browse data & analytics skills
Showing 12,073–12,096 of 12,878 skills
Fetches live AI crypto trading signals with entry price, stop-loss, take-profit, leverage, confidence scores, and automated verification. Covers 50+ coins including BTC, ETH, SOL. Use when the user asks for crypto signals, trade ideas, market direction, portfolio analysis, or wants to build a trading bot.
dir='C:/Users/gytk3/OneDrive - Loughborough University/GitHub/EnsEx/Data' source('Load_data.R') ```
Fetches health data from the Withings API including weight, body composition (fat, muscle, bone, water), activity, and sleep. Use this skill when the user asks about their Withings data, weight history, body metrics, daily steps, sleep quality, or any health measurement from Withings devices.
Access Whoop wearable health data (sleep, recovery, strain, HRV, workouts) and generate interactive charts. Use when the user asks about sleep quality, recovery scores, strain levels, HRV trends, workout data, or wants health visualizations/graphs from their Whoop band.
Advanced Twitter search and social media data analysis. Fetches tweets by keywords using Twitter API, processes up to 1000 results, and generates professional data analysis reports with insights and actionable recommendations. Use when user requests Twitter/X social media search, social media trend analysis, tweet data mining, social listening, influencer identification, topic sentiment analysis from tweets, or any task involving gathering and analyzing Twitter data for insights.
Local hybrid search for markdown notes and docs. Use when searching notes, finding related content, or retrieving documents from indexed collections.
Local hybrid search for markdown notes and docs. Use when searching notes, finding related content, or retrieving documents from indexed collections.
Analyze Polymarket prediction markets for trading edges. Pair Cost arbitrage, whale tracking, sentiment analysis, momentum signals, user profile tracking. No execution.
Query and analyze brand mentions from Octolens API. Use when the user wants to fetch mentions, track keywords, filter by source platforms (Twitter, Reddit, GitHub, LinkedIn, etc.), sentiment analysis, or analyze social media engagement. Supports complex filtering with AND/OR logic, date ranges, follower counts, and bookmarks.
Comprehensive news aggregator that fetches, filters, and deeply analyzes real-time content from 8 major sources: Hacker News, GitHub Trending, Product Hunt, 36Kr, Tencent News, WallStreetCN, V2EX, and Weibo. Best for 'daily scans', 'tech news briefings', 'finance updates', and 'deep interpretations' of hot topics.
Comprehensive news aggregator that fetches, filters, and deeply analyzes real-time content from 8 major sources: Hacker News, GitHub Trending, Product Hunt, 36Kr, Tencent News, WallStreetCN, V2EX, and Weibo. Best for 'daily scans', 'tech news briefings', 'finance updates', and 'deep interpretations' of hot topics.
Reconciles data sources using stable identifiers (Pay Number, driving licence, driver card, and driver qualification card numbers), producing exception reports and “no silent failure” checks. Use when you need weekly matching with explicit reasons for non-joins and mismatches.
Track Clawdbot AI model usage and estimate costs. Use when reporting daily/weekly costs, analyzing token usage across sessions, or monitoring AI spending. Supports Claude (opus/sonnet), GPT, and Codex models.
Patterns for generating synthetic data for ML training, testing, and privacy. Covers LLM-based generation, tabular synthesis, and quality validation. Use when "synthetic data, generate training data, fake data generation, data augmentation, SDV, Gretel, test data, privacy-preserving data, " mentioned.
Comprehensive statistical analysis for research, experiments, and data science. Covers hypothesis testing, effect sizes, confidence intervals, Bayesian methods, regression, and advanced techniques. Emphasizes correct interpretation and avoiding common statistical mistakes. Use when ", " mentioned.
Use when processing satellite imagery, hyperspectral data, SAR imagery, or applying machine learning to remote sensing data for Earth observation. Use when "satellite imagery, remote sensing, Earth observation, optical imagery, hyperspectral, SAR, InSAR, NDVI, atmospheric correction, radiometric calibration, land cover classification, change detection, pan-sharpening, spectral unmixing, " mentioned.
World-class alternative data and sentiment analysis for trading - social media, news, on-chain data, positioning. Extract alpha from information others miss. Use when "sentiment, alternative data, social media trading, news trading, twitter signals, on-chain, whale watching, fear greed, positioning, " mentioned.
Patterns for multi-sensor data fusion including Kalman filters (KF, EKF, UKF), complementary filters, particle filters, and factor graph optimization. Covers state estimation, covariance tuning, outlier rejection, and real-time implementation for robotics and autonomous systems. Use when ", " mentioned.
Expert patterns for Segment Customer Data Platform including Analytics.js, server-side tracking, tracking plans with Protocols, identity resolution, destinations configuration, and data governance best practices. Use when "segment, analytics.js, customer data platform, cdp, tracking plan, event tracking, identify track page, data routing, segment, cdp, analytics, tracking, data-pipeline, customer-data" mentioned.
Use when building VaR models, stress testing portfolios, Monte Carlo simulations, or implementing enterprise risk management - covers market risk, credit risk, and operational risk frameworksUse when ", " mentioned.
Master of capital preservation and position sizing - combining Kelly Criterion, volatility targeting, correlation analysis, and drawdown management to survive and thrive in marketsUse when "risk management, position size, stop loss, drawdown, kelly, risk per trade, portfolio risk, volatility, max loss, trading, risk-management, position-sizing, kelly-criterion, drawdown, volatility, stop-loss, portfolio-risk" mentioned.
Design, model, and optimize renewable energy systems including solar PV, wind power, energy storage, and grid integration. Use when "renewable energy, solar power, solar PV, wind energy, wind turbine, energy storage, battery storage, grid integration, capacity factor, " mentioned.
World-class systematic trading research - backtesting, alpha generation, factor models, statistical arbitrage. Transform hypotheses into edges. Use when "backtest, alpha, factor model, statistical arbitrage, quant research, systematic trading, mean reversion, momentum strategy, regime detection, walk forward, " mentioned.
Use when constructing portfolios, implementing mean-variance optimization, factor models, risk parity, or Black-Litterman allocation - covers modern portfolio theory and practical enhancementsUse when ", " mentioned.