Skill UI

This comprehensive tool manages the complete lifecycle of ML experiments, providing robust deployment capabilities across diverse environments. It supports running training jobs on local GPUs, dedicated remote servers, Vast.ai, and serverless platforms like Modal. The workflow handles environment detection, code synchronization (rsync/git), dependency pinning, and integrates advanced logging tools (e.g., W&B), ensuring reliable, scalable, and reproducible ML training runs.

Use Trivy to automate comprehensive vulnerability detection (CVEs, misconfigurations) in Docker container images within CI/CD pipelines. This skill guides users on establishing robust quality gates—such as integrating into GitHub Actions or GitLab CI—to ensure that only secure images are pushed to production registries, covering OS packages, dependencies, and Dockerfile best practices.

This comprehensive guide details advanced network reconnaissance using Nmap's full capabilities. It covers sophisticated host discovery across multiple protocols, deep port scanning with timing and performance tuning, accurate service version enumeration, and OS fingerprinting. Furthermore, it teaches advanced techniques like firewall evasion (fragmentation, spoofing) and running NSE scripts for systematic vulnerability detection, crucial for authorized security assessment reports.

This guide details methodologies for identifying and exploiting XML External Entity (XXE) injection vulnerabilities in web applications. It covers basic file retrieval, blind XXE detection using out-of-band techniques, and data exfiltration, all critical steps during authorized penetration testing of XML-consuming APIs and services.

Connects to the MAXIA AI-to-AI marketplace on the Solana blockchain. This tool allows users to discover, buy, and sell AI services directly between decentralized agents. Features include comprehensive crypto intelligence, such as sentiment analysis and trending data; DeFi yield tracking; Web3 wallet security analysis (e.g., rug detection); and real-time GPU pricing, making it a comprehensive hub for Web3 AI interactions.

Provides Playwright-driven browser automation for scraping structured data, driving multi-step workflows, managing sessions and anti-detection tactics, and capturing screenshots/PDFs in production pipelines.

This skill guides developers on building LLM-powered applications using the Claude API, Anthropic SDKs, or the Agent SDK. It provides comprehensive guidance on language detection, best practices (like default model versions and streaming), and choosing the correct development surface (API call, Workflow, or Agent) based on the use case.

A comprehensive tool for establishing performance baselines across multiple dimensions. It measures Core Web Vitals (LCP, CLS, INP), API latency (p50, p95, p99), and development build efficiency. Essential for detecting performance regressions before merging code, ensuring stability in CI/CD pipelines, and comparing alternative stack implementations.

A comprehensive guide to building a structured incident response playbook for ransomware attacks. It aligns with the CISA StopRansomware Guide and NIST CSF, covering all phases from preparation and detection to containment, eradication, and recovery. Ideal for security teams conducting readiness assessments or updating compliance documentation.

This tool automates the deployment of deception-based honeytokens within Active Directory environments. It creates fake privileged accounts, decoy SPNs for Kerberoasting detection, and misleading GPOs with password traps. Designed for advanced security teams to detect reconnaissance, lateral movement, and credential theft with high fidelity.

This skill outlines the architecture and methodology for deploying canary files (honeytokens) across critical file systems. By placing decoy documents with known content in high-value locations, this system monitors for unauthorized modifications, deletions, or encryption attempts. It detects ransomware by triggering high-fidelity alerts via File Integrity Monitoring (FIM) systems, serving as a crucial deception layer that complements existing EDR/AV solutions.

A comprehensive skill for conducting authorized Bluetooth Low Energy (BLE) security assessments. It covers detecting various attacks, including sniffing, Man-in-the-Middle interception, replay attacks, and GATT enumeration abuse. The workflow guides users through packet capture using specialized sniffers (Ubertooth, nRF Sniffer), analyzing services and characteristics via Python/bleak, and performing cryptographic analysis using tools like crackle.