Skill UI

Analyzes options chain data by separating real calls and puts from lottery-like speculative contracts to produce more reliable put/call sentiment, anomaly detection, and expiry breakdowns for watchlists, sectors, and event-driven names.

This skill analyzes oral health data to identify patterns and assess overall status. It provides personalized advice for oral care and hygiene. It supports correlation analysis with nutrition, chronic diseases, and medication. Suitable for analyzing trends, caries risk, and periodontal issues. Users can generate reports based on long-term records.

This powerful router analyzes complex document types (scanned, medical, table-heavy, etc.) and determines the optimal conversion pipeline (tools, flags, cleanup) to extract data into various formats like Markdown, JSON, or DOCX. It goes beyond simple text extraction by prioritizing the preservation of document structure, relational data, and high fidelity, ensuring the generated output is accurate for downstream machine processing.

Plotly is a Python library for creating interactive, publication-quality visualizations with over 40 chart types. Ideal for dashboards, exploratory analysis, and presentations requiring hover, zoom, and pan features. Supports both high-level Plotly Express and low-level Graph Objects APIs for flexible data representation.

A powerful toolset for automating core PostHog product analytics tasks via Rube MCP. It enables developers and analysts to capture user events, list and filter event data, manage feature flags (creation, retrieval, listing), and inspect user profiles. Ideal for integrating advanced product tracking and A/B testing workflows directly into development pipelines.

This skill analyzes skin health data to identify problem patterns and assess overall status. It supports correlation analysis with nutrition, chronic diseases, and medication data. Users should consult the detailed guide before execution to ensure safety and accuracy.

A static analysis tool that audits SQL code for common cost and performance anti-patterns (e.g., full-table scans, Cartesian joins). It calculates a query health score (0-100) for data warehouses like BigQuery, Snowflake, and Redshift, providing a prioritized, actionable plan with concrete fixes and estimated cost savings. Essential for FinOps and data quality assurance.

Generates a fast, quota-aware crypto market briefing from live TraderSpy data covering majors, funding and open interest, top-trader positioning, screener movers, and the freshest AI trading signals in a fixed 30-second-readable format.

Analyze a Monte Carlo monitor's alert history and config to identify noise patterns and recommend concrete tuning changes. Supports metric, custom SQL, validation, and table monitors to reduce alert noise without losing real signal.

This skill automatically processes MP4 videos by extracting key frames at configurable intervals. It then applies Tesseract OCR to recognize text on these frames, generating a comprehensive, structured Markdown report. The report includes full video metadata and timestamped, searchable transcripts, making it ideal for analyzing lectures, presentations, or screencasts programmatically.

This skill helps plan and review read-only data warehouse analysis with explicit scope, privacy, and validation checks. It turns business questions into reproducible analysis plans without assuming specific schemas. It identifies needed data, reviews proposed queries for risks like grain or privacy, and ensures results are communicated accurately. Suitable for authorized data warehouse usage, query review, and analysis documentation while avoiding administrative tasks.

Create and verify provenance manifests for weather-data inputs and derived artifacts, capturing object identity, selections, software versions, transformations, and checksums to support traceable, replayable, or reproducible workflows.