Skill UI

A comprehensive guide covering advanced offensive techniques for AWS cloud environments. Techniques include detailed IAM enumeration, privilege escalation paths, SSRF exploitation targeting metadata endpoints (IMDSv1/v2), S3 bucket exploitation, and Lambda function code extraction. Essential for security professionals and red team operations conducting authorized cloud vulnerability assessments.

Build document analysis apps in Java with Azure AI Document Intelligence SDK, using prebuilt models for layouts, receipts, invoices, IDs, and training custom models for structured data extraction.

Build document analysis apps in Java with Azure AI Document Intelligence SDK, using prebuilt models for layouts, receipts, invoices, IDs, and training custom models for structured data extraction.

Conduct comprehensive, offensive security assessments across major cloud environments, including Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). This skill simulates real-world attacks, covering reconnaissance, authentication bypass, resource enumeration, privilege escalation, and data extraction to identify critical misconfigurations and vulnerabilities in cloud infrastructure.

Implements FireCrawl PII handling, sanitization, extraction, storage, retention, deduplication, and compliance flows for managing scraped web content while keeping GDPR/CCPA and data retention requirements in check.

Auto-activating skill guiding metadata extractor implementations within data pipelines, covering ETL, transformation, orchestration, and streaming best practices.

Use Composio's Zenrows toolkit through a Rube MCP integration to automate data extraction tasks, always probing `RUBE_SEARCH_TOOLS` for current schemas, reconciling connections via `RUBE_MANAGE_CONNECTIONS`, and invoking discovered operations with `RUBE_MULTI_EXECUTE_TOOL` while reusing sessions.

Aeon is a scikit-learn compatible toolkit for time series machine learning, covering classification, regression, clustering, forecasting, anomaly detection, segmentation, similarity search, and feature extraction on temporal data.

Histolab streamlines whole-slide microscopy by automating tissue detection, tile extraction, and stain normalization for H&E scans, making it ideal for lightweight dataset prep and quick tile-based analysis.

NeuroKit2 is a Python biosignal processing toolkit for ECG, EEG, EDA, RSP, EMG, and EOG data that automates cleaning, feature extraction, and HRV/complexity analysis for psychophysiology, clinical, and HCI studies.

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.

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.