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Command

/dashboard

Generate a monitoring dashboard configuration for project metrics visualization.

From plugin
rohitg00-claude-code-toolkit
2.5k199 skills138 agents199 commands
Install
$ npx -y skills add rohitg00/awesome-claude-code-toolkit --agent claude-code

How it fires

How this command gets triggered: by you, by Claude, or both.

  • Fires itselfClaude auto-loads it when your prompt matches the work.
  • You can call itInvoke it directly when you want it.
  • Slash command/dashboard

Context preview

What this command does when you run it.

Generate a monitoring dashboard configuration for project metrics visualization.

Command definition

dashboard.md
name: dashboard
description: Generate a monitoring dashboard configuration for project metrics visualization.

Generate a monitoring dashboard configuration for project metrics visualization.

Steps

1. Determine the dashboard platform (Grafana, Datadog, custom HTML). 2. Identify key metrics to display:

  • **Build health**: CI pass rate, build duration trend.
  • **Code velocity**: Commits per day, PRs merged per week.
  • **Quality**: Test coverage trend, bug count, tech debt items.
  • **Performance**: API response times, error rates, uptime.
  • **Dependencies**: Outdated count, vulnerability count.

3. Design panel layout:

  • Top row: Key KPIs as single-stat panels.
  • Middle: Time series charts for trends.
  • Bottom: Tables for detailed breakdowns.

4. Configure data sources and queries for each panel. 5. Set up alert thresholds on critical metrics. 6. Export the dashboard configuration as JSON.

Format

{
  "title": "<Project> Dashboard",
  "panels": [
    { "type": "stat", "title": "Build Status", "query": "..." },
    { "type": "graph", "title": "Response Time (P95)", "query": "..." }
  ]
}

Rules

  • Keep dashboards focused with 8-12 panels maximum.
  • Use consistent color coding: green=healthy, yellow=warning, red=critical.
  • Include time range selector defaulting to last 24 hours.
  • Add drill-down links from summary panels to detail views.
  • Document the data source requirements for each panel.
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