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renepfrenepf/claude-skills/dashboard-builder/SKILL.md

dashboard-builder

Skill0 starsChanged 4 months agoMITView on GitHub

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.

We split this skill into the rules it gives an agent

6 rules. 6 are common, 0 are distinctive, and 0 are very specific to this project.

  • 6

    Common

    Most of the 8 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Common:

    Use this when the task is to build a dashboard people can operate from.

    line 11
  2. Common:

    do not start from visual layout.

    line 29
  3. Common:

    do not include every available metric just because it exists

    line 30
  4. Common:

    do not mix health, throughput, and resource panels without structure

    line 31
  5. Common:

    do not ship panels without titles, units, and sane thresholds

    line 32
  6. Common:

    Every panel should answer a real question.

    line 67

“Common” is measured: kept by at least 6 in 10 of the 8 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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

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