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› NeverSight/learn-skills.dev
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dashboard-builder
GitHub用于构建面向实际运维操作的监控看板，而非展示性面板。聚焦健康、瓶颈等核心问题，遵循结构化流程与质量检查清单，确保每个面板都有明确的操作价值。
Trigger Scenarios
构建 Kafka 监控看板
创建 Elasticsearch Grafana 看板
为服务制作 SigNoz 看板
将指标列表转化为实际运维看板
Install
npx skills add NeverSight/learn-skills.dev --skill dashboard-builder -g -y
SKILL.md
Frontmatter
{
"name": "dashboard-builder",
"origin": "ECC direct-port adaptation",
"version": "1.0.0",
"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."
}
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:
- overview
- performance
- resources
- 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-opsbackend-patternsterminal-ops
Version History
- e0220ca Current 2026-07-05 23:40
