Skill UI

This skill generates comprehensive visual regression test configurations using SmartUI for accurate screenshot comparison on cloud platforms. It is framework-agnostic, supporting major tools like Playwright, Selenium, Cypress, and Puppeteer. Use it when detecting UI changes, ensuring visual consistency, or running automated visual tests across multiple viewports and browsers.

This skill provides access to the Anthropic Claude Managed Agent runtime, which is a cloud-native, persistent environment for running complex, long-running, or asynchronous AI tasks. Unlike local WASM agents, the managed runtime provides a full container, persistent filesystem, and robust state management across multiple turns. It supports the entire agent lifecycle: creation, prompting, status inspection, event logging, and mandatory termination.

This skill dispatches computationally intensive quantitative trading jobs (such as multi-year walk-forward analysis, large Monte-Carlo simulations, parameter sweeping, or deep model training) to a managed cloud agent runtime. It is designed for large-scale, production-grade backtesting that exceeds local machine capacity, ensuring robust execution and artifact management via Anthropic's cloud services.

Qiskit is a leading open-source quantum computing framework designed for building, optimizing, and executing quantum circuits. It provides comprehensive tools to run on local simulators or major cloud quantum backends, including IBM Quantum, IonQ, and Amazon Braket. Use it to develop algorithms in chemistry, machine learning, and optimization.

This skill acts as a comprehensive map for developing clinical and biomedical NLP pipelines using OpenMed. OpenMed is a local-first Python library that performs named-entity recognition (NER), protected health information (PHI) de-identification, and FHIR export, all running fully on-device without cloud calls. Use this guide when starting a new clinical text project, needing to select the appropriate capability (e.g., zero-shot NER, auditing, or FHIR conversion), or requiring an entry point for the core OpenMed features.

A comprehensive, authorized methodology for security assessments covering cloud platforms, container runtimes, and Kubernetes clusters. It guides users through checking critical areas such as IAM privilege escalation, metadata SSRF, container escape paths, and granular RBAC misconfigurations, ensuring testing is systematic and non-destructive.

A specialized downstream skill for CTF-sandbox workflows. Used to analyze complex security challenges driven by AI agent interactions, prompt injection, or infrastructure vulnerabilities. Focuses on tracing control chains involving untrusted input, tool side effects, deployment drift, container runtime issues, and CI/CD supply chain provenance. Ideal for rigorous vulnerability assessment in modern, distributed systems.

This skill automates the identification and removal of unused AWS resources such as EBS volumes, snapshots, and Elastic IPs to reduce cloud costs. It includes scripts for dry-run validation, cost impact calculation, and Lambda-based automation workflows. Users can safely clean up storage, compute, and networking waste while ensuring dependency checks and rollback plans are in place.

Azure Batch SDK for Java: create and manage pools, jobs, tasks, and compute nodes to run large-scale parallel and HPC workloads in the cloud, with sync/async clients and autoscale support.

This SDK enables running Playwright tests at scale using cloud-hosted browsers integrated with Azure portal reporting. It supports TypeScript configuration, Microsoft Entra ID authentication, and CI/CD integration for GitHub Actions and Azure Pipelines. Ideal for enterprise testing workflows requiring managed browser infrastructure and centralized reporting.

Guides using EAS Simulator to run remote iOS simulators and Android emulators from the CLI, AI agents, or browser previews. Covers access checks, authentication, setup, controllers, and session lifetime for cloud-based app testing.

Learn to build and deploy event-driven serverless applications using Google Cloud Functions Gen1 and Gen2. This skill covers configuring triggers for Pub/Sub, Cloud Storage, and Eventarc, as well as managing deployments via gcloud CLI. It includes examples for Python and Node.js runtimes, handling HTTP requests, scheduled tasks, and data processing pipelines without maintaining servers. Ideal for implementing serverless workloads on GCP.