Skill UI

Automates creating and validating GCP BigQuery views with best-practice guidance, production-ready code snippets, and integrations for Vertex AI, Cloud Run, Firebase, and similar services to keep analytics workloads consistent.

Automates Delta Lake compliance patterns for GDPR, PII masking, retention, and row-level security via Unity Catalog tags, handlers, and masked views so teams can safely delete or restrict sensitive records while keeping audit trails.

Automates Segment chores via Composio's Rube MCP toolkit, letting you track events, identify users, group accounts, log page views, alias profiles, and run batches after fetching current schemas.

BGPT Paper Search queries the remote MCP server to retrieve structured experimental data from full-text studies, returning methods, results, sample sizes, quality scores, and conclusions for efficient literature reviews and evidence synthesis.

Enables efficient querying of the bioRxiv preprint server with keywords, authors, dates, and categories, returning structured JSON metadata and optional PDF downloads for literature reviews or tracking research trends.

Provides programmatic access to DrugBank drug and target data, covering downloads, queries, interaction networks, targets/pathways, and chemical similarity analyses for pharmacology research and safety reviews.

Conduct rigorous, multi-database literature reviews with systematic workflows, verified citations in styles like APA or Nature, and AI-enhanced schematics for publication-ready markdown and PDF outputs in biomedical and technical domains.

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.

Provides REST API access to PubMed for building advanced Boolean/MeSH queries, filtering by publication details, and programmatically fetching citations through E-utilities, making it ideal for systematic reviews and automated literature workflows.

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 a Power BI DAX expert through performance, readability, best-practice, and maintainability reviews; recommends variable reuse, context tuning, and error handling; then outputs an optimized formula plus justification for analytics models.