Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.
Scanned 9/19/2026
Install to Claude Code
npx -y skills add majinmagros/magros.ai-skills --skill dashboard-builder --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: dashboard-builder
description: Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.
metadata:
origin: ECC direct-port adaptation
version: "1.0.0"
---
# Dashboard Builder
Use this when the task is to build a dashboard people can operate from.
The goal is not "show every metric." The goal is to answer:
- is it healthy?
- where is the bottleneck?
- what changed?
- what action should someone take?
## When to Use
- "Build a Kafka monitoring dashboard"
- "Create a Grafana dashboard for Elasticsearch"
- "Make a SigNoz dashboard for this service"
- "Turn this metrics list into a real operational dashboard"
## Guardrails
- do not start from visual layout; start from operator questions
- do not include every available metric just because it exists
- do not mix health, throughput, and resource panels without structure
- do not ship panels without titles, units, and sane thresholds
## Workflow
### 1. Define the operating questions
Organize around:
- health / availability
- latency / performance
- throughput / volume
- saturation / resources
- service-specific risk
### 2. Study the target platform schema
Inspect existing dashboards first:
- JSON structure
- query language
- variables
- threshold styling
- section layout
### 3. Build the minimum useful board
Recommended structure:
1. overview
2. performance
3. resources
4. service-specific section
### 4. Cut vanity panels
## Exemplo
```text
Pedido: "dashboard Kafka no Grafana"
Perguntas: lag por partição? (saúde) onde trava? (bottleneck) o que mudou no deploy?
Board: overview → throughput → lag/recursos → 1 seção Kafka (consumer lag, ISR)
Corte: 12 painéis vaidade sem threshold; todo painel com título, unidade e limite
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