# dashboard-builder

> Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms, turning metrics into actionable operational views.

- Skill: `affaan-m/dashboard-builder` (Agent Skill)
- Install (CLI): `npx skillmds add affaan-m/dashboard-builder`
- Raw SKILL.md: https://api.skillmd.com/api/skills/affaan-m/dashboard-builder/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra, Coding & Dev Tools, Data & Analytics, Data Visualization, Monitoring & Observability
- Tags: Api Gateway, Dashboard, Elasticsearch, Grafana, Kafka, Monitoring, Observability, Signoz
- Author: Affaan Mustafa (https://skillmd.com/u/affaan-m)
- Updated: 2026-07-06
- Page: https://skillmd.com/skills/affaan-m/dashboard-builder

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# 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

Every panel should answer a real question. If it does not, remove it.

## Example Panel Sets

### Elasticsearch

- cluster health
- shard allocation
- search latency
- indexing rate
- JVM heap / GC

### Kafka

- broker count
- under-replicated partitions
- messages in / out
- consumer lag
- disk and network pressure

### API gateway / ingress

- request rate
- p50 / p95 / p99 latency
- error rate
- upstream health
- active connections

## Quality Checklist

- [ ] valid dashboard JSON
- [ ] clear section grouping
- [ ] titles and units are present
- [ ] thresholds/status colors are meaningful
- [ ] variables exist for common filters
- [ ] default time range and refresh are sensible
- [ ] no vanity panels with no operator value

## Related Skills

- `research-ops`
- `backend-patterns`
- `terminal-ops`