Skill UI

This guide details the systematic workflow for patch management, covering the entire lifecycle from vulnerability discovery and risk assessment to controlled testing, multi-phased deployment, and final verification. Learn how to integrate tools like WSUS, SCCM, and Ansible into a robust, automated process to significantly reduce the attack surface and ensure compliance across enterprise IT infrastructure.

This skill implements robust supply chain integrity verification for container builds using the in-toto framework. It establishes a verifiable record by generating cryptographically signed link metadata at every stage (checkout, build, scan). This allows users to prove that deployed container images followed an approved process, with enforcement mechanisms integrated for Kubernetes admission control.

This skill provides comprehensive guardrails for handling Protected Health Information (PHI) in US healthcare software. It guides development teams on data classification, security best practices, access control, and audit logging to ensure strict adherence to HIPAA regulations. Use it when dealing with patient data storage, transmission, or processing to prevent breaches and maintain compliance.

This tool automates the entire process of creating a complete, production-ready application structure solely from an OpenAPI (Swagger) specification. It analyzes the spec to design the application architecture, generating all necessary layers including controllers, service logic, data models (DTOs), and repositories, adhering to best practices, framework conventions, and separation of concerns. The output includes unit tests, configuration files, and setup instructions, providing a robust, ready-to-use codebase.

This advanced skill automates the enforcement of Python code quality using Ruff. It implements a controlled, iterative workflow that supports safe and unsafe automatic autofixes, formats the code, and reviews diffs after each pass. The process recursively repeats until all findings are resolved or require explicit user decision, ensuring high code consistency and quality gates.

Synchronizes mature lessons from a domain-specific memory file into the matching instruction file inside VS Code, letting you choose global or workspace scope so you can preserve knowledge, cut redundancy, and finalize updates in a controlled merge process.

This skill provides detailed control over the browser launch process using `browser.start`. Users can specify whether the window should be visible (`headed: true`) or manage advanced debugging by providing an explicit `cdp_port`. It is crucial for automation workflows that require visual verification or need to integrate with external local debugging tools.

This comprehensive checklist guides developers through the entire process of moving an Apify Actor from a local development environment to a stable, production-ready state. It covers crucial stages including configuration validation, setting up scheduled runs, implementing robust webhooks for monitoring, establishing cost controls, and executing proper rollback procedures to ensure reliable live operations.

A comprehensive guide for debugging complex Claude integration issues beyond basic error handling. It covers advanced patterns such as managing inconsistent outputs (temperature control), validating tool use calls, recovering from streaming connection drops, handling max_tokens truncation, and correctly processing image/vision inputs. Essential for building robust, production-grade AI applications with Anthropic's API.

A comprehensive guide for scaling Claude usage in high-throughput, enterprise-level applications. Learn four advanced strategies, including Message Batches for bulk processing, using p-limit for concurrency control, managing rate limit tier upgrades, and selecting the optimal model (e.g., Haiku) to balance speed and quality.

This guide demonstrates how to set up robust Continuous Integration/Continuous Deployment (CI/CD) pipelines for projects utilizing AssemblyAI's speech-to-text services. It provides detailed GitHub Actions workflows for running both mocked unit tests (free and fast) and live, cost-controlled integration tests. Learn how to safely manage API keys and ensure transcription stability in your automated build process.

This critical protocol is the ultimate measure for dealing with deeply corrupted, unmaintainable, or structurally rotten code modules. Instead of risky patching, it mandates a controlled, multi-phase process to completely delete the target and rebuild it from scratch. It ensures precise identification of all public interfaces, implicit contracts, and working behaviors (the Preservation List) before any removal occurs, guaranteeing the new implementation matches the original functionality while resolving deep architectural debt.