examples-auto-run — community examples-auto-run, community, ide skills

v1.0.0

关于此技能

非常适合需要原生 UI 测试和验证功能的 Rust 基础 AI Agent。 examples-auto-run is a cross-platform library for building apps in Rust with native UI, benefiting developers who need to test framework changes. It provides a proof surface for changes that should still work in a real consumer.

alexjameslittle alexjameslittle
[1]
[0]
更新于: 3/10/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 6/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
6/11
Quality Score
41
Canonical Locale
en
Detected Body Locale
en

非常适合需要原生 UI 测试和验证功能的 Rust 基础 AI Agent。 examples-auto-run is a cross-platform library for building apps in Rust with native UI, benefiting developers who need to test framework changes. It provides a proof surface for changes that should still work in a real consumer.

核心价值

赋予代理验证框架更改的能力,使用 hello-world 示例应用程序的证明表面,确保与原生 UI 的无缝集成,并提供使用 Rust 和脚本(如 `scripts/run.sh`)进行烟雾测试和生成树验证的具体证明。

适用 Agent 类型

非常适合需要原生 UI 测试和验证功能的 Rust 基础 AI Agent。

赋予的主要能力 · examples-auto-run

验证框架更改与原生 UI
测试运行时、模块、CNG 或部署更改
为消费者接线生成概念验证

! 使用限制与门槛

  • 需要 Rust 环境
  • 仅限 examples/hello-world/ 目录更改
  • 需要脚本(如 `scripts/run.sh`)进行自动化

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

评审后的下一步

先决定动作,再继续看上游仓库材料

Killer-Skills 的主价值不应该停在“帮你打开仓库说明”,而是先帮你判断这项技能是否值得安装、是否应该回到可信集合复核,以及是否已经进入工作流落地阶段。

实验室 Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

常见问题与安装步骤

以下问题与步骤与页面结构化数据保持一致,便于搜索引擎理解页面内容。

? FAQ

examples-auto-run 是什么?

非常适合需要原生 UI 测试和验证功能的 Rust 基础 AI Agent。 examples-auto-run is a cross-platform library for building apps in Rust with native UI, benefiting developers who need to test framework changes. It provides a proof surface for changes that should still work in a real consumer.

如何安装 examples-auto-run?

运行命令:npx killer-skills add alexjameslittle/atom/examples-auto-run。支持 Cursor、Windsurf、VS Code、Claude Code 等 19+ IDE/Agent。

examples-auto-run 适用于哪些场景?

典型场景包括:验证框架更改与原生 UI、测试运行时、模块、CNG 或部署更改、为消费者接线生成概念验证。

examples-auto-run 支持哪些 IDE 或 Agent?

该技能兼容 Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer。可使用 Killer-Skills CLI 一条命令通用安装。

examples-auto-run 有哪些限制?

需要 Rust 环境;仅限 examples/hello-world/ 目录更改;需要脚本(如 `scripts/run.sh`)进行自动化。

安装步骤

  1. 1. 打开终端

    在你的项目目录中打开终端或命令行。

  2. 2. 执行安装命令

    运行:npx killer-skills add alexjameslittle/atom/examples-auto-run。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    examples-auto-run 已启用,可立即在当前项目中调用。

! 参考页模式

此页面仍可作为安装与查阅参考,但 Killer-Skills 不再把它视为主要可索引落地页。请优先阅读上方评审结论,再决定是否继续查看上游仓库说明。

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

examples-auto-run

安装 examples-auto-run,这是一款面向AI agent workflows and automation的 AI Agent Skill。查看评审结论、使用场景与安装路径。

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

examples-auto-run

Use the hello-world example app as the proof surface for framework changes that should still work in a real consumer.

When to use

Use this skill when:

  • Changes touch examples/hello-world/.
  • Runtime, module, CNG, or deployment changes could break consumer wiring.
  • You need concrete proof that the generated host tree or example builds still work.

Steps

  1. Run scripts/run.sh smoke for a portable dry-run prebuild.
  2. Run scripts/run.sh generated-tree when you need the emitted host tree for inspection.
  3. Run scripts/run.sh android or scripts/run.sh ios on the appropriate host when the branch needs a real platform build.
  4. Report skipped platform builds explicitly when the host environment cannot support them.

Output

  • Dry-run prebuild status for the example app.
  • Generated host-tree inventory when requested.
  • Platform build results for Android or iOS when run.

Model vs. script split

Script handles: invoking the example prebuild and platform build commands with consistent targets.

Model handles: deciding which modes matter for the current change, interpreting failures, and summarizing proof artifacts.

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