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auroraview
auroraview contiene 10 skills recopiladas de loonghao, con cobertura ocupacional por repositorio y páginas de detalle dentro del sitio.
Skills en este repositorio
Convert an existing Qt/PySide/PyQt desktop project (QWebEngineView-based UI, QMainWindow browsers, Qt DCC tools) into an AuroraView project so it ships a lighter, Rust-powered WebView and gets full MCP automation for free. Use this skill whenever the user asks to "migrate", "convert", "port" a Qt/PySide/PyQt app to AuroraView, or when they want MCP-controllable Qt tooling.
Integrates ProofShot visual proof recording with the self-improvement workflow. Use when: (1) E2E tests fail or detect visual regressions, (2) Agent needs to verify UI changes it made, (3) Running self-iteration loops (build → test → fix → retest), (4) Preparing PR proof artifacts for review.
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
This skill teaches AI coding agents how to use vx - the universal development tool manager. Use this skill whenever the user's project uses vx (has vx.toml or .vx/ directory), or when the user mentions vx, tool version management, or cross-platform development setup. vx transparently manages Node.js, Python, Go, Rust, and 50+ other tools with zero-config.
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
This skill produces an actionable architecture diagnosis report for a codebase. It guides the AI to scan the repository, map subsystem boundaries, identify design flaws with concrete evidence (files/functions), assess risks, and propose a phased refactor roadmap plus future extension scenarios. Use this skill when the team needs a "diagnosis report" to decide whether/how to refactor.
通过 MCP 工具测试 AuroraView Python API,发现设计缺陷和代码味道。 迭代式测试:启动服务 → 调用工具 → 发现问题 → 修复 → 重新测试。
This skill helps test and debug the local development version of AuroraView MCP Server. It guides AI to configure mcp.json, start the local MCP server, run tests, and troubleshoot issues. Use this skill when developing or debugging the auroraview-mcp package.
This skill helps create RFC (Request for Comments) documents for proposing new features, architectural changes, or significant enhancements to the project. It provides templates, structure guidelines, and best practices for writing effective technical proposals. Use this skill when planning major changes that need team review and discussion.
UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient.