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

v1.0.0

À propos de ce Skill

Parfait pour les agents d'intelligence artificielle basés sur Rust nécessitant des capacités de test et de validation d'interface utilisateur native. 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

Parfait pour les agents d'intelligence artificielle basés sur Rust nécessitant des capacités de test et de validation d'interface utilisateur native. 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.

Pourquoi utiliser cette compétence

Permet aux agents de valider les modifications du framework en utilisant une surface de preuve avec l'application d'exemple hello-world, assurant une intégration transparente avec l'interface utilisateur native et fournissant une preuve concrète de l'arbre hôte généré ou des constructions d'exemple utilisant Rust et des scripts comme `scripts/run.sh` pour les tests de fumée et la validation de l'arbre généré.

Meilleur pour

Parfait pour les agents d'intelligence artificielle basés sur Rust nécessitant des capacités de test et de validation d'interface utilisateur native.

Cas d'utilisation exploitables for examples-auto-run

Valider les modifications du framework avec l'interface utilisateur native
Tester les modifications de runtime, module, CNG ou déploiement
Générer une preuve de concept pour le câblage du consommateur

! Sécurité et Limitations

  • Nécessite un environnement Rust
  • Limité aux modifications du répertoire examples/hello-world/
  • Nécessite des scripts comme `scripts/run.sh` pour l'automatisation

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?

Parfait pour les agents d'intelligence artificielle basés sur Rust nécessitant des capacités de test et de validation d'interface utilisateur native. 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: Valider les modifications du framework avec l'interface utilisateur native, Tester les modifications de runtime, module, CNG ou déploiement, Générer une preuve de concept pour le câblage du consommateur.

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?

Nécessite un environnement Rust. Limité aux modifications du répertoire examples/hello-world/. Nécessite des scripts comme `scripts/run.sh` pour l'automatisation.

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.

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