tr-dashboard-autopilot — automating TR dashboard creation tr-dashboard-autopilot, tr_dash, community, automating TR dashboard creation, ide skills, AGENTS.md configuration, tr-dashboard-autopilot install, tr-dashboard-autopilot documentation, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Development Agents needing automated TR dashboard setup and verification capabilities. tr-dashboard-autopilot is an AI agent skill that automates the creation and verification of TR dashboards, using inputs like AGENTS.md and option_c.json to generate plans and reports.

Features

Generates TR dashboard plans using /tr-planner
Implements tasks using /tr-implementer
Validates implementations with ssot-guard or valida
Creates verification reports in docs/plan/tr-dashboard-verification-report.md
Utilizes option_c.json for SSOT configuration
Processes AGENTS.md for task planning

# Core Topics

automating TR dashboard creation AGENTS.md configuration tr-dashboard-autopilot install tr-dashboard-autopilot documentation
macho715 macho715
[0]
[0]
Updated: 3/8/2026

Agent Capability Analysis

The tr-dashboard-autopilot skill by macho715 is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for automating TR dashboard creation, AGENTS.md configuration, tr-dashboard-autopilot install.

Ideal Agent Persona

Perfect for Development Agents needing automated TR dashboard setup and verification capabilities.

Core Value

Empowers agents to generate plans and verify implementations using AGENTS.md and option_c.json configurations, streamlining the development process with automated TR dashboard setup and validation reports in Markdown format.

↓ Capabilities Granted for tr-dashboard-autopilot

Automating TR dashboard setup from plan creation to final verification
Generating and verifying implementation reports based on option_c.json configurations
Validating TR dashboard implementations against predefined plans and SSOT settings

! Prerequisites & Limits

  • Requires AGENTS.md and option_c.json files for configuration
  • Limited to generating Markdown reports for plans and verification
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

tr-dashboard-autopilot

Install tr-dashboard-autopilot, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
Readonly

TR Dashboard Autopilot

언제 사용

  • "AGENTS.md 기반으로 plan 문서부터 최종 테스트까지 에이전트가 혼자" 수행해야 할 때
  • option_c.json(SSOT) 기반 일정/리플로우/충돌/모드 분리를 구현/검증할 때

입력

  • 레포의 AGENTS.md (가장 가까운 파일 우선)
  • SSOT: option_c.json

출력

  • docs/plan/tr-dashboard-plan.md (Plan)
  • docs/plan/tr-dashboard-verification-report.md (최종 검증 리포트)

실행 오케스트레이션

  1. Plan 생성
    • /tr-planner를 호출해 docs/plan/tr-dashboard-plan.md 생성
  2. 구현 루프
    • plan의 Task를 1개씩 /tr-implementer로 수행
    • 각 Task 후 ssot-guard(또는 validate_optionc) 실행
  3. 최종 검증
    • /tr-verifier로 lint/typecheck/test/build + DoD + SSOT 검증
  4. FAIL 시 자동 루프
    • verifier의 FAIL 항목을 implementer에게 전달 → 수정 → 재검증 반복

강제 가드레일

  • 커맨드(dev/test/lint/typecheck/build)는 절대 추정하지 말고 scripts/detect_project_commands.py로 탐지한다.
  • SSOT 위반(예: option_c.json 우회 SoT 도입) 징후가 있으면 즉시 중단하고 리포트에 기록한다.
  • Preview→Apply 및 History append-only 원칙을 깨는 변경은 "기능 구현"이 아니라 "규칙 위반"으로 간주한다.

빠른 사용

  • Cursor Agent 채팅에서:
    • /tr-dashboard-autopilot 실행
    • (필요 시) /tr-dashboard-ssot-guard 단독 실행

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?

Perfect for Development Agents needing automated TR dashboard setup and verification capabilities. tr-dashboard-autopilot is an AI agent skill that automates the creation and verification of TR dashboards, using inputs like AGENTS.md and option_c.json to generate plans and reports.

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: Automating TR dashboard setup from plan creation to final verification, Generating and verifying implementation reports based on option_c.json configurations, Validating TR dashboard implementations against predefined plans and SSOT settings.

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?

Requires AGENTS.md and option_c.json files for configuration. Limited to generating Markdown reports for plans and verification.

↓ 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 macho715/tr_dash. 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 tr-dashboard-autopilot immediately in the current project.

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