Skill UI

Automates database archival workflows by identifying historical records in PostgreSQL or MySQL, applying retention policies, and migrating data to archive tables or cold storage (S3/Azure Blob/GCS) with compression and compliance tracking.

Automates database archival workflows by identifying historical records in PostgreSQL or MySQL, applying retention policies, and migrating data to archive tables or cold storage (S3/Azure Blob/GCS) with compression and compliance tracking.

This comprehensive framework allows users to validate and test both crypto and traditional trading strategies against extensive historical market data. It calculates essential performance metrics (Sharpe Ratio, Sortino Ratio, Max Drawdown), simulates trade execution, generates equity curves, and includes advanced parameter grid search optimization tools for robust strategy validation.

This guide provides a comprehensive, multi-step technical process for migrating historical meeting recordings and data into the Fireflies.ai ecosystem. It covers various scenarios, including batch uploads from public URLs, importing authenticated files (S3/GCS), direct file uploads, and tracking progress via webhooks, ensuring a robust and validated transition from competitor platforms.

Enables Claude to analyze historical time series patterns, select the best forecasting model, and predict future values with confidence intervals for sales, traffic, or other time-dependent metrics.

A comprehensive guide detailing the strategy for migrating from competing meeting note tools (such as Otter.ai, Fireflies, Fathom) to a new platform like Granola. This skill covers assessing migration scope, performing source-specific data exports (TXT, JSON, Markdown), selecting the optimal migration strategy (Fresh Start, Selective, Full Archive), and executing a phased transition through parallel runs and final cutover procedures. It ensures historical data preservation and minimizes operational disruption.

This comprehensive guide outlines the process of migrating analytics data from major platforms like Google Analytics, Mixpanel, Amplitude, or Segment to PostHog. It covers implementing a dual-write strategy, mapping historical event names and properties, and performing bulk historical data imports, ensuring a smooth transition and data continuity.

A comprehensive foundation skill for monitoring cryptocurrency markets. It provides real-time quotes, 24-hour change metrics, and deep historical price data for over 10,000 coins. Users can track specific symbols, view predefined watchlists (e.g., DeFi, Top 10), or export detailed OHLCV data in CSV format. This skill serves as the foundational data layer for crypto portfolio management, tax calculation, and DeFi analysis applications.

Fetch real-time and historical equities, forex, crypto, commodities, and economic indicator data through the Alpha Vantage API, plus over 50 technical indicators for charting, research, and automation workflows once you provide an API key.

This skill provides deep analytical insights into aggregated family health data. It assesses genetic predisposition, identifies patterns of familial diseases, calculates weighted risk scores based on historical data, and generates personalized, actionable prevention recommendations. Ideal for generating comprehensive family health reports and trend analysis.

This tool generates comprehensive briefing documents for scheduled meetings. It integrates data from calendar systems, email history (up to 90 days and historical), professional networking sites (LinkedIn), and past interaction records (Granola). It provides context on attendees, relationship history, key discussion points, and critical action items to ensure users are fully prepared for every call, regardless of whether it's a first introduction or a follow-up.

This skill establishes normal network communication patterns by analyzing historical NetFlow/IPFIX data. Utilizing Python pandas, it computes hourly/daily volume distributions, per-host statistics, and top-talker profiles. Anomalies are detected using sophisticated statistical methods like z-score and IQR, allowing SOC analysts to quickly identify deviations such as data exfiltration spikes, persistent beaconing, or unusual port usage.