Skill UI

Provides Python access to openFDA endpoints for drugs, devices, foods, veterinary products, and substances, enabling regulatory analysis, safety monitoring, recalls tracking, and pharmacovigilance research.

Access aggregated OFR hedge fund time series and metadata without auth, covering Form PF stats, repo volumes, futures trader positioning, and leverage/counterparty metrics for risk monitoring or research.

This tool provides comprehensive brand reputation monitoring by scraping reviews, ratings, and mentions from a vast array of platforms, including Google Maps, Booking.com, TripAdvisor, Facebook, Instagram, YouTube, and TikTok. It utilizes Apify Actors to gather structured sentiment data, allowing users to track public perception, identify key trends, and summarize overall brand health over time. Ideal for market research, competitive analysis, and customer experience tracking.

A comprehensive tool designed to extract structured data from any e-commerce platform. Use it to monitor competitor pricing, analyze customer reviews for sentiment, gather detailed product specifications, and discover seller networks. Ideal for market research, brand protection, and product management teams needing deep market insights.

Access X data through the Xquik platform for tweet search, user and follower extraction, engagement metrics, giveaways, monitoring, webhooks, and 19 bulk tools via REST or MCP for AI agents.

Analyzes exercise logs to identify trends, monitor progress, assess habits, correlate with chronic disease indicators, and generate personalized workout and recovery advice.

Xquik unlocks Twitter data via REST APIs, MCP tools, and webhooks, covering tweet/user lookups, follower extraction, giveaway draws, trending topics, and accurate account monitoring for real-time automation.

Guides on using SwanLab for open-source ML experiment tracking, offering local or self-hosted dashboards, rich media logging, and integrations with PyTorch, Transformers, Lightning, or Fastai for comparing runs and monitoring metrics.

The Stock Analyzer Skill provides comprehensive technical analysis for stocks and ETFs. It utilizes industry-standard indicators like RSI, MACD, and Bollinger Bands to generate actionable trading signals. Users can perform advanced technical comparisons, monitor portfolio strength, and identify chart patterns through natural language queries, eliminating the need for manual indicator calculation.

A comprehensive solution for systematically auditing dataset health. It profiles data distributions, detects missing values (MCAR/MAR/MNAR), identifies outliers using multiple methods (IQR, Z-score), and calculates a Data Quality Score (DQS). It provides actionable remediation plans and supports monitoring setup for live pipelines.

Reviews Python + BigQuery pipelines to flag runaway costs, missing dry-run safeguards, unsafe backfills, write idempotency issues, and monitoring gaps, returning a structured report with exact function/line references for minimal fixes.

Guides agents through validation, dry-run MCP tool usage, and monitors-as-code YAML generation so Monte Carlo monitors can be established via CLI or CI/CD without directly creating assets.