Killer-Skills Review
Decision support comes first. Repository text comes second.
This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.
자동화된 TR 대시보드 설정 및 확인 기능이 필요한 개발 에이전트에게 적합합니다. End-to-end autopilot for TR 이동 대시보드. Use to generate a plan from AGENTS.md, implement in small steps, and run lint/typecheck/test/build with SSOT(option_c.json) guardrails via subagents.
이 스킬을 사용하는 이유
에이전트가 AGENTS.md와 option_c.json 구성으로 계획을 생성하고 구현을 확인할 수 있도록 하여 자동화된 TR 대시보드 설정 및 확인 보고서(Markdown 형식)를 통해 개발 프로세스를 간소화합니다.
최적의 용도
자동화된 TR 대시보드 설정 및 확인 기능이 필요한 개발 에이전트에게 적합합니다.
↓ 실행 가능한 사용 사례 for tr-dashboard-autopilot
! 보안 및 제한 사항
- 구성에 AGENTS.md 및 option_c.json 파일이 필요
- 계획 및 확인의 Markdown 보고서 생성만
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 handoff, 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 tr-dashboard-autopilot?
자동화된 TR 대시보드 설정 및 확인 기능이 필요한 개발 에이전트에게 적합합니다. End-to-end autopilot for TR 이동 대시보드. Use to generate a plan from AGENTS.md, implement in small steps, and run lint/typecheck/test/build with SSOT(option_c.json) guardrails via subagents.
How do I install tr-dashboard-autopilot?
Run the command: npx killer-skills add macho715/tr_dash. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.
What are the use cases for tr-dashboard-autopilot?
Key use cases include: 계획 생성에서 최종 확인까지의 자동화된 TR 대시보드 설정, option_c.json 구성에 따라 구현 보고서를 생성하고 확인하는 것, TR 대시보드 구현이 미리 정의된 계획 및 SSOT 설정과 일치하는지 확인.
Which IDEs are compatible with tr-dashboard-autopilot?
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 tr-dashboard-autopilot?
구성에 AGENTS.md 및 option_c.json 파일이 필요. 계획 및 확인의 Markdown 보고서 생성만.
↓ 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 macho715/tr_dash. 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 tr-dashboard-autopilot 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.
tr-dashboard-autopilot
Install tr-dashboard-autopilot, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.
