Skill UI

A comprehensive guide for conducting cloud forensics investigations across AWS, Azure, and GCP. This workflow demonstrates how to preserve volatile and non-volatile evidence, including snapshotting volumes, capturing instance metadata, and collecting critical logs (CloudTrail, Activity Log, Audit Log) to trace unauthorized access and analyze security breaches.

Zeek is a powerful, open-source network analysis framework that functions as a passive security monitor. It generates highly detailed, structured logs (e.g., HTTP, DNS, TLS) from raw network traffic, allowing for deep metadata extraction. This skill guides users through deploying Zeek, writing custom detection scripts, and integrating the resulting rich security logs with SIEM platforms for advanced threat detection and forensic investigations.

This tool automates the testing of web application URL parameters for Server-Side Request Forgery (SSRF). It probes sensitive endpoints, including cloud metadata services (AWS, GCP, Azure), internal network resources, and various URI schemes (file://, gopher://). It is designed for authorized penetration testing environments to confirm SSRF vulnerabilities and generate detailed threat reports.

This tool builds comprehensive forensic super-timelines by using Plaso to correlate events across diverse sources. It aggregates data from file system metadata, event logs, browser history, and registry artifacts into a unified chronological view. This capability is essential for complex digital forensic investigations requiring cross-source event correlation or detailed activity sequence reporting.

Search and analyze research papers across Zotero, local PDFs, arXiv, Semantic Scholar and the web. Finds related work, summarizes key ideas, and builds literature reviews with citation metadata.

Helps developers answer codebase questions by leveraging the `.understand-anything/knowledge-graph.json` graph; walks through project metadata, nodes, edges, and layers to explain dependencies and contexts.

AKF is the native metadata format specifically designed for tracking AI-generated or AI-modified content. It allows users to stamp files (including DOCX, PDF, images, and code) with detailed trust scores, source provenance, and compliance metadata. This tool is essential for professional workflows requiring strict auditing, compliance assurance, and verifiable data lineage, especially concerning regulations like the EU AI Act, HIPAA, and SOX.

This tool serves as a persistent memory and state manager for complex coding projects within the Claude environment. It allows users to initialize new projects with structured metadata, track detailed session progress (including summaries, decisions, and next steps), and save the entire context reliably. By ensuring project continuity across disconnected sessions, it drastically improves the flow and consistency of the development workflow.

This skill provides comprehensive analysis and structured data extraction for academic research papers hosted on Hugging Face and arXiv. It can read paper content in markdown format, retrieve key metadata (authors, abstracts, GitHub repos), and identify linked assets such as associated models, datasets, and Spaces. Use this when the user provides a Hugging Face or arXiv URL, or explicitly requests a summary or explanation of an AI research topic.

A specialized tool for searching published, peer-reviewed academic papers from major venues like IEEE, ACM, and Springer. Unlike preprint services (like arXiv), this skill provides verified citation counts, detailed venue metadata, and filtering options for finding established, high-impact research literature. Ideal for formal academic research and literature reviews.

Use this helper to search ten academic paper databases via their REST APIs whenever you need research papers, preprints, citation data, metadata, or open-access PDFs; it routes DOI/PMID/author/topic queries to the right endpoints and returns raw JSON plus the queried databases/paths.

Processes meeting transcripts and recordings to normalize speakers, log metadata, and generate actionable coaching on speaking balance, conflict avoidance, filler usage, and question quality whenever users reference their meetings or tools like Otter or Zoom.