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

v1.0.0

이 스킬 정보

네이티브 UI 테스트 및 검증 기능이 필요한 러스트 기반 AI 에이전트에 적합합니다. 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]
Updated: 3/10/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 7/11

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
7/11
Quality Score
41
Canonical Locale
en
Detected Body Locale
en

네이티브 UI 테스트 및 검증 기능이 필요한 러스트 기반 AI 에이전트에 적합합니다. 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.

이 스킬을 사용하는 이유

에이전트가 프레임워크 변경을 검증할 수 있는 능력을 부여하여 hello-world 예제 애플리케이션의 증명 표면을 사용하여 네이티브 UI와의無縫な統合을 보장하며 러스트 및 스크립트(예: `scripts/run.sh`)를 사용한 스모크 테스트 및 생성 트리 검증의 구체적인 증명을 제공합니다.

최적의 용도

네이티브 UI 테스트 및 검증 기능이 필요한 러스트 기반 AI 에이전트에 적합합니다.

실행 가능한 사용 사례 for examples-auto-run

프레임워크 변경을 네이티브 UI에서 검증
런타임, 모듈, CNG 또는 배포 변경을 테스트
소비자 연결에 대한 개념 증명을 생성

! 보안 및 제한 사항

  • 러스트 환경이 필요
  • examples/hello-world/ 디렉토리 변경만
  • 스크립트(예: `scripts/run.sh`)가 자동화에 필요

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.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs 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

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is examples-auto-run?

네이티브 UI 테스트 및 검증 기능이 필요한 러스트 기반 AI 에이전트에 적합합니다. 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.

How do I install examples-auto-run?

Run the command: npx killer-skills add alexjameslittle/atom. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for examples-auto-run?

Key use cases include: 프레임워크 변경을 네이티브 UI에서 검증, 런타임, 모듈, CNG 또는 배포 변경을 테스트, 소비자 연결에 대한 개념 증명을 생성.

Which IDEs are compatible with examples-auto-run?

This skill is compatible with 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. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for examples-auto-run?

러스트 환경이 필요. examples/hello-world/ 디렉토리 변경만. 스크립트(예: `scripts/run.sh`)가 자동화에 필요.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add alexjameslittle/atom. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use examples-auto-run immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

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

Install examples-auto-run, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

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.

관련 스킬

Looking for an alternative to examples-auto-run or another community skill for your workflow? Explore these related open-source skills.

모두 보기

openclaw-release-maintainer

Logo of openclaw
openclaw

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

333.8k
0
인공지능

widget-generator

Logo of f
f

prompts.chat 피드 시스템을 위한 사용자 지정 가능한 위젯 플러그인을 생성합니다

149.6k
0
인공지능

flags

Logo of vercel
vercel

리액트 프레임워크

138.4k
0
브라우저

pr-review

Logo of pytorch
pytorch

파이썬에서 텐서와 동적 신경망 구현 및 강력한 GPU 가속 지원

98.6k
0
개발자