Skill UI

Automates Radar operations through Composio's Rube MCP by discovering live tool schemas, confirming toolkit connections, and orchestrating multi-tool executions with session-aware workflows.

This skill guides SOC analysts and detection engineers on how to correlate complex, multi-stage attacks within the IBM QRadar SIEM platform. It covers advanced usage of AQL (Ariel Query Language) for deep event investigation, building custom correlation rules (Building Blocks and Offenses), and cross-source data correlation (e.g., auth failures with network flows). It is essential for reducing false positives and improving threat detection accuracy.

A comprehensive framework for advanced sensing utilizing WiFi signals. It implements multistatic radar sensing, cross-viewpoint data fusion, RF tomography for volumetric imaging, and persistent field modeling. Features include pre-movement intention detection, biomechanics drift tracking, and robust mesh security hardening for research-grade deployments.

Retrieve official NOAA/NCEP MRMS radar and multisensor composites such as QPE, VIL, VII, and MESH for a chosen domain and UTC time. Validates product, grid, quality, timestamp, and provenance before use in mapping or analysis.

This skill constructs a quality-aware NEXRAD multi-radar mosaic from aligned single-site products. It handles explicit coverage, beam geometry, quality weighting, and overlap resolution. It ensures provenance for every output pixel. Suitable for combining multiple radars to cover a region with overlapping fields. It preserves distinction between local analysis and official provider mosaics.