Skill UI

A comprehensive tool designed for assessing the security posture of Programmable Logic Controller (PLC) firmware. It specializes in detecting critical vulnerabilities such as hardcoded credentials, undocumented debug interfaces, backdoor functions, and memory corruption flaws. The tool supports analyzing major industrial platforms (Siemens, Allen-Bradley) by performing static and dynamic analysis, and verifying firmware integrity against known-good baselines, adhering to standards like IEC 62443. Use only in authorized lab environments.

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.

This tool provides comprehensive automation for core GitLab operations, streamlining the entire development lifecycle. Users can manage projects, track issues, review merge requests, manage branches, and monitor CI/CD pipelines. It leverages a unified API interface to handle complex workflows, ensuring efficiency in version control and collaborative development environments.

This comprehensive guide provides step-by-step instructions for setting up a development environment to use AWS CDK (Cloud Development Kit) with Python. It covers installing prerequisites (Node.js, AWS CLI), initializing a CDK project, managing Python dependencies, and mastering the full deployment workflow, enabling users to define and deploy scalable AWS infrastructure as code.

Generates a complete, compilable xUnit integration test project structure for validating complex database migrations, specifically from Oracle to PostgreSQL, within .NET solutions. This scaffolding includes a transaction-rollback base class and a seed data manager, ensuring a robust environment for writing migration integration tests without requiring test cases. Ideal for setting up testing infrastructure before migration validation.

This tool provides a conservative, resource-aware snapshot of the current process's environment, including CPU, memory, disk, and accelerator limits. It helps users plan workloads accurately by providing clear boundary constraints (cgroup, scheduler, host limits) without performing stressful tests or making assumptions about usability.

This guide provides a reference architecture for automating the design-to-code workflow. It outlines the complete pipeline—from Figma design input to structured React/Vue output—detailing components like Figma API integration, code generation, and crucial post-processing steps (token mapping, normalization). Ideal for establishing scalable design systems and managing large-scale design handoffs in a professional environment.

A comprehensive guide detailing how to securely configure and manage Canva Connect API integrations across development, staging, and production environments. This resource covers environment strategy, best practices for OAuth credential management, secret handling (AWS, GCP, Vault), and implementing environment isolation guards to ensure secure and scalable deployments.

A comprehensive guide to optimizing CAST AI's core performance metrics, including node provisioning speed, autoscaler responsiveness, and API call efficiency. This skill covers techniques like configuring headroom, selecting optimal instance families, tuning evictors, and implementing caching for multi-cluster dashboards to ensure high availability and cost efficiency in cloud environments.

Provides comprehensive guides and code examples for deploying ClickUp-powered applications to various cloud environments like Vercel, Fly.io, and Google Cloud Run. It covers secure secret management, API token handling, setting up health checks, and processing webhooks, ensuring robust and scalable SaaS integrations.

This skill creates and synchronizes prompt-based AI agents directly into Azure AI Foundry using the Agent Service REST API. By defining agents in a local JSON manifest, the skill registers them server-side, making them instantly available for evaluation and invocation within the Foundry ecosystem. It is essential for deploying, updating, or managing AI agents at scale within the Azure cloud environment.

This skill provides a complete solution for deploying Glean custom connectors as scheduled jobs on container platforms (e.g., Cloud Run). It covers building a production-ready Docker image to manage document ingestion, custom data source connectivity, and search query execution. Includes robust health checks and rolling update strategies to ensure continuous, high-availability indexing for enterprise search environments.