55 boosters for "lua" — open source, verified from GitHub, ready to install
A specialized Copilot prompt that configures an AI agent as an expert assistant for building and deploying ASP.NET Core web APIs and Blazor WebAssembly apps to Google Cloud, with integrated validation and iterative problem-solving capabilities.
Tara is a Design QA Agent that automates visual regression testing, cross-browser validation, accessibility audits, and responsive design evaluation for design teams. It benefits developers and QA professionals who need systematic, reusable testing across projects.
Luna is a specialized UI/UX agent that helps developers design, review, and improve user interfaces through expert guidance on components, accessibility, responsive layouts, and user interaction patterns. It's ideal for developers building React applications who want professional feedback on their UI code and design decisions.
Enables cryptographically-signed constitutional governance for AI tool use, allowing teams to define immutable policy layers (constitution + signature) beneath mutable identity guidance. Ideal for organizations deploying autonomous agents requiring tamper-evident audit trails and policy enforcement.
Spec-Judge evaluates and selects the best versions of requirement, design, and task specification documents based on comprehensive criteria like completeness, clarity, feasibility, and innovation. It helps development teams streamline spec development workflows by providing systematic evaluation and comparison of document versions.
A clinical triage specialist agent that proactively assesses patient symptoms and urgency using evidence-based protocols to determine appropriate care settings. Benefits healthcare providers, telehealth platforms, and patient-facing health applications.
Scite integrates scientific literature search and evaluation into Claude, allowing developers to ground AI responses in peer-reviewed research with full-text access and trust assessment. Ideal for researchers, academics, and developers building knowledge-intensive applications.
