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

v1.0.0

Acerca de este Skill

Perfecto para agentes de inteligencia artificial basados en Rust que necesitan capacidades de prueba y validación de interfaz de usuario nativa. 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

Perfecto para agentes de inteligencia artificial basados en Rust que necesitan capacidades de prueba y validación de interfaz de usuario nativa. 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.

¿Por qué usar esta habilidad?

Habilita a los agentes a validar los cambios del framework utilizando una superficie de prueba con la aplicación de ejemplo hello-world, garantizando una integración sin problemas con la interfaz de usuario nativa y proporcionando una prueba concreta del árbol de host generado o construcciones de ejemplo que utilizan Rust y scripts como `scripts/run.sh` para pruebas de humo y validación del árbol generado.

Mejor para

Perfecto para agentes de inteligencia artificial basados en Rust que necesitan capacidades de prueba y validación de interfaz de usuario nativa.

Casos de uso accionables for examples-auto-run

Validar los cambios del framework con la interfaz de usuario nativa
Probar los cambios de tiempo de ejecución, módulo, CNG o implementación
Generar una prueba de concepto para el cableado del consumidor

! Seguridad y limitaciones

  • Requiere un entorno de Rust
  • Limitado a cambios en el directorio examples/hello-world/
  • Necesita scripts como `scripts/run.sh` para la automatización

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?

Perfecto para agentes de inteligencia artificial basados en Rust que necesitan capacidades de prueba y validación de interfaz de usuario nativa. 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/examples-auto-run. 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: Validar los cambios del framework con la interfaz de usuario nativa, Probar los cambios de tiempo de ejecución, módulo, CNG o implementación, Generar una prueba de concepto para el cableado del consumidor.

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?

Requiere un entorno de Rust. Limitado a cambios en el directorio examples/hello-world/. Necesita scripts como `scripts/run.sh` para la automatización.

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/examples-auto-run. 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.

Habilidades relacionadas

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

Ver todo

openclaw-release-maintainer

Logo of openclaw
openclaw

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

333.8k
0
Inteligencia Artificial

widget-generator

Logo of f
f

Generar complementos de widgets personalizables para el sistema de feeds de prompts.chat

149.6k
0
Inteligencia Artificial

flags

Logo of vercel
vercel

El Marco de React

138.4k
0
Navegador

pr-review

Logo of pytorch
pytorch

Tensores y redes neuronales dinámicas en Python con fuerte aceleración de GPU

98.6k
0
Desarrollador