Skill UI

TensorBoard delivers a unified interface to track training metrics, debug network behavior, compare experiments, inspect model graphs, and profile performance for PyTorch or TensorFlow workflows.

A comprehensive tool designed to analyze and understand audience demographics, engagement patterns, and behavior across major social media platforms including Facebook, Instagram, YouTube, and TikTok. By utilizing specialized Apify Actors, it extracts structured data on follower metrics, post engagement, and user behavior, providing deep insights essential for targeted marketing and content strategy development. Ideal for market researchers and digital marketers needing comprehensive user profiling.

Use boto3 to query AWS CloudTrail logs, build statistical baselines of normal API behavior, and surface unusual event sources, geographic shifts, or anomalous first-time and high-error calls so SOC analysts can investigate credential compromise, privilege escalation, or unauthorized access.

Detects and investigates credential stuffing by analyzing authentication logs for login velocity anomalies, ASN diversity, password spray behavior, and geographic inconsistencies so SOC teams can build detection rules with Splunk or pandas.

Hunt for threats in AWS environments by leveraging Detective behavior graphs, correlated GuardDuty findings, and automated entity timelines spanning IAM users, EC2 instances, and IP addresses to streamline cloud-native incident investigations.

Generates Stitch-friendly DESIGN.md blueprints that encode premium anti-slop UI rules—color calibration, typography, layouts, motion, and component behaviors—so agents can produce high-agency screens for Google Stitch.