Skill UI

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 skill provides comprehensive solutions for managing rate limits and throttling when interacting with the AssemblyAI Speech-to-Text API. It implements advanced patterns like exponential backoff with jitter, queue-based concurrency control, and resilient streaming retry logic. Use it when building high-throughput, reliable applications that process large volumes of audio data.

This skill provides guidelines and mechanics for managing multi-tenant environments within KubeSphere. It focuses on the controlled creation and configuration of core resources—including workspaces, projects, and users—while strictly adhering to least privilege principles. It details the proper use of RBAC roles (Viewer, Regular, Admin) and guides users through the process of setting up organizational boundaries and access controls for secure, scalable deployment.

This tool helps you draft, rewrite, or condense professional emails with precise control over tone, length, and audience. Whether you are performing cold outreach, providing status updates, or handling escalations, it ensures your communication is clear, concise, and impactful. It guides the process from outlining key points to providing structured variants and QA checks.

This skill assists users in defining, adapting, and designing bounded, structured feedback loops for AI agents. Whether you need to find a suitable existing workflow, fine-tune a published loop, or design a new process from scratch, this tool guides you through a safe, iterative methodology. It emphasizes setting clear stopping rules, guardrails, and verifiable, measurable steps to ensure the automation remains controllable and focused.

Business Email Compromise (BEC) is a sophisticated social engineering fraud where attackers impersonate executives or vendors to trick employees into making unauthorized fund transfers or disclosing data. This skill provides comprehensive detection techniques by integrating email gateway rules, behavioral analytics, and mandatory financial process controls. It is essential for investigating suspected account compromises and building robust defenses against advanced phishing attacks.

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.

This model provides an engineering operational framework for teams that leverage AI agents to generate large volumes of code. It shifts the focus from simple syntax to process quality, robust architecture design, rigorous testing, and systematic risk control, ensuring the development of highly stable and reliable systems in AI-assisted environments.

Pattern for controlling LLM API costs while preserving quality. Combines complexity-based model routing, immutable budget tracking, retry logic limited to transient failures, and prompt caching. Use when building LLM API apps, processing batches with varying difficulty, or enforcing budget guardrails in production.

This skill provides comprehensive operational controls for long-lived, cloud-hosted agent workloads. It manages the entire lifecycle—from deployment and scaling to observability and security. Features include detailed monitoring (logs, metrics, traces), safety controls (kill switches, least privilege), and robust change management processes (rollout, rollback, auditing). Ideal for mission-critical microservices and background agents.

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.

A comprehensive guide to architectural patterns for building scalable, production-ready backend services using Java and Spring Boot. Covers essential topics including RESTful API design, layered architecture (Controller, Service, Repository), data persistence (JPA), caching, asynchronous processing, robust error handling, and middleware filtering.