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.
개발 에이전트가 실시간 철도 프로젝트 정보와 상태 업데이트를 필요로 할 때 완벽합니다. This skill should be used when the user asks railway status, is it running, whats deployed, deployment status, or about uptime. NOT for variables (what variables, env vars, add variable) or configuration queries - use environment skill for those.
이 스킬을 사용하는 이유
에이전트가 즉각적인 철도 프로젝트 상태 확인을 제공할 수 있도록 하며, 디렉토리 스캔 및 서비스 배포 정보를 활용하여 HTTP와 같은 프로토콜 및 JSON 또는 YAML과 같은 파일 형식을 사용하여 데이터를 교환합니다.
최적의 용도
개발 에이전트가 실시간 철도 프로젝트 정보와 상태 업데이트를 필요로 할 때 완벽합니다.
↓ 실행 가능한 사용 사례 for status
! 보안 및 제한 사항
- 철도 프로젝트 디렉토리 접근이 필요
- 철도 프로젝트 상태 및 서비스 정보만 제한
Why this page is reference-only
- - Current locale does not satisfy the locale-governance contract.
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 status?
개발 에이전트가 실시간 철도 프로젝트 정보와 상태 업데이트를 필요로 할 때 완벽합니다. This skill should be used when the user asks railway status, is it running, whats deployed, deployment status, or about uptime. NOT for variables (what variables, env vars, add variable) or configuration queries - use environment skill for those.
How do I install status?
Run the command: npx killer-skills add scaixeta/sentivis-sim/status. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.
What are the use cases for status?
Key use cases include: 배포 전 철도 프로젝트 상태 확인, 서비스 구성 및 배포 디버깅, 사용자에게 환경 및 도메인 정보 제공.
Which IDEs are compatible with status?
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 status?
철도 프로젝트 디렉토리 접근이 필요. 철도 프로젝트 상태 및 서비스 정보만 제한.
↓ 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 scaixeta/sentivis-sim/status. 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 status 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.
status
Install status, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.