Killer-Skills Review
Decision support comes first. Repository text comes second.
This page remains useful for teams, but Killer-Skills treats it as reference material instead of a primary organic landing page.
フロントエンドエージェントが高度なデスクトップアプリケーションのデプロイ機能を必要とする場合に最適です。 Build a new desktop app release (Electron). Triggers on build desktop, new release, desktop release, build the app
このスキルを使用する理由
npmとviteを使用してバージョンのバンプ、ダッシュボードの構築、ファイルのコピーを自動化することで、パッチバンプやdistフォルダの管理などの機能を備えたデスクトップアプリケーションのデプロイを簡素化します。
おすすめ
フロントエンドエージェントが高度なデスクトップアプリケーションのデプロイ機能を必要とする場合に最適です。
↓ 実現可能なユースケース for build-desktop
! セキュリティと制限
- npmとviteのインストールが必要です
- package.jsonとsrc/dashboardファイルへのアクセスが必要です
- tscコンパイル中に既存のTypeScriptエラーに遭遇する可能性があります
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.
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.
Start With Installation And Validation
If this skill is worth continuing with, the next step is to confirm the install command, CLI write path, and environment validation.
Cross-Check Against Trusted Picks
If you are still comparing multiple skills or vendors, go back to the trusted collection before amplifying repository noise.
Move To Workflow Collections For Team Rollout
When the goal shifts from a single skill to team workflows, approvals, and repeatable execution, move into workflow collections.
Browser Sandbox Environment
⚡️ Ready to unleash?
Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.
FAQ & Installation Steps
These questions and steps mirror the structured data on this page for better search understanding.
? Frequently Asked Questions
What is build-desktop?
フロントエンドエージェントが高度なデスクトップアプリケーションのデプロイ機能を必要とする場合に最適です。 Build a new desktop app release (Electron). Triggers on build desktop, new release, desktop release, build the app
How do I install build-desktop?
Run the command: npx killer-skills add Vvanlaar/orch/build-desktop. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.
What are the use cases for build-desktop?
Key use cases include: バージョン管理を使用してデスクトップアプリケーションのビルドを自動化する, viteを使用して本番環境に適したダッシュボードを生成する, distファイルをデスクトップ環境にコピーしてシームレスな統合を実現する.
Which IDEs are compatible with build-desktop?
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 build-desktop?
npmとviteのインストールが必要です. package.jsonとsrc/dashboardファイルへのアクセスが必要です. tscコンパイル中に既存のTypeScriptエラーに遭遇する可能性があります.
↓ How To Install
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1. Open your terminal
Open the terminal or command line in your project directory.
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2. Run the install command
Run: npx killer-skills add Vvanlaar/orch/build-desktop. The CLI will automatically detect your IDE or AI agent and configure the skill.
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3. Start using the skill
The skill is now active. Your AI agent can use build-desktop 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.
build-desktop
Install build-desktop, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.
