Skills grafana-dashboards
📦

grafana-dashboards

Content revision r2 Safe ⚙️ External commands📁 Filesystem access

Build Production Grafana Dashboards

Monitoring teams often struggle to turn raw Prometheus metrics into clear operational views. This skill guides dashboard structure, queries, alerts, variables, and provisioning.

Supports: Claude Codex Code(CC)
🥉 78 Bronze

This skill is part of a pack

Install the whole pack to get every skill the task needs, in one command.

Service Observability Kit · 3 skills Install whole pack

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request
Review the Skillstore skill "grafana-dashboards" from https://skillstore.io/skills/sickn33-grafana-dashboards.md and its manifest at https://skillstore.io/api/skills/sickn33-grafana-dashboards/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/sickn33-grafana-dashboards.md Signed manifest GET /api/skills/sickn33-grafana-dashboards/manifest Signed lockfile GET /api/skills/sickn33-grafana-dashboards/lockfile

Test it

Using "grafana-dashboards". Plan a dashboard for a payment API with Prometheus metrics.

Expected outcome:

  • Top row: request volume, success rate, and current P95 latency.
  • Trend row: rate, errors, and latency by service and endpoint.
  • Detail row: status codes, slow endpoints, and latency distribution.
  • Variables: environment, namespace, service, and endpoint.
  • Alerts: sustained error rate and latency objective breaches.

Using "grafana-dashboards". Recommend panels for Kubernetes node monitoring.

Expected outcome:

  • Use stat panels for ready nodes and unavailable nodes.
  • Use time series for CPU, memory, disk, and network utilization.
  • Add saturation views for load, queue depth, and resource pressure.
  • Filter by cluster, namespace, node, and environment.

Using "grafana-dashboards". Outline a managed rollout for dashboard changes.

Expected outcome:

Store dashboard definitions with infrastructure code, review changes, validate queries in staging, deploy gradually, and retain a tested rollback version.

Security Audit

Safe
v5 • 7/24/2026 Open versioned report

All 35 static findings are false positives caused by Markdown formatting, example configuration, and PromQL syntax. The skill contains no executable commands, path traversal, system reconnaissance, prompt injection, or malicious intent.

1
Files scanned
390
Lines analyzed
0
Review items
0
False positives ignored

Risk Factors

⚙️ External commands (33)
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📁 Filesystem access (1)
SKILL.md:88
No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.
Audited by: codex View Audit History →
Share & cite this report

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Open versioned report
Security Assessment

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Academic citations (APA · BibTeX · CFF)

APA citation

sickn33. (2026). grafana-dashboards security audit report (audit version 5) [Author version unspecified]. Skillstore. https://skillstore.io/skills/sickn33-grafana-dashboards/audits/5

BibTeX citation

@techreport{sickn33-sickn33-grafana-dashboards-2026, author = {sickn33}, title = {grafana-dashboards security audit report (audit version 5)}, institution = {Skillstore}, year = {2026}, number = {5}, url = {https://skillstore.io/skills/sickn33-grafana-dashboards/audits/5}, note = {Author version unspecified} }

CITATION.cff

cff-version: 1.2.0 message: "If you use this Skill, cite its author and this versioned security audit report." title: "grafana-dashboards security audit report (audit version 5)" version: "unspecified" type: report authors: - name: "sickn33" date-released: "2026-07-24" url: "https://skillstore.io/skills/sickn33-grafana-dashboards/audits/5" identifiers: - type: other value: "skillstore:sickn33-grafana-dashboards:audit:5" description: "Skillstore immutable audit report identifier"

Compare variants

2 installable variants

Each author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.

Why this variant is first

Higher Skillstore usage
wshobson Recommended

wshobson-grafana-dashboards

Skillstore Score 78
Evidence Confidence High
Skillstore usage 20
Updated

2026-09-09

sickn33 Current

sickn33-grafana-dashboards

Skillstore Score 78
Evidence Confidence High
Skillstore usage 19
Updated

2026-09-09

Skillstore Score

Why this score Evidence Confidence: High
55
Architecture
85
Maintainability
87
Content
69
Community
83
Spec Compliance

What You Can Build

Design an API Operations Dashboard

Organize request rate, error rate, and latency into a clear dashboard with useful filters and alerts.

Standardize Infrastructure Monitoring

Define consistent CPU, memory, disk, network, saturation, and node-health views across environments.

Track Service Objectives

Plan availability, latency, error-budget, and burn-rate views for regular service reviews.

Try These Prompts

Plan a Basic Service Dashboard 
Create a Grafana dashboard plan for [service] using Prometheus. Include request rate, error rate, latency, panel types, units, and a default time range.
Design Infrastructure Panels 
Design PromQL queries and Grafana panels for [infrastructure]. Cover CPU, memory, disk, network, saturation, variables, thresholds, and verification steps.
Create an SLO Dashboard 
Create an SLO dashboard specification for [service]. Include availability, latency objectives, error budget, burn-rate views, alerts, and drill-down panels.
Plan Dashboard Provisioning 
Develop a dashboard-as-code rollout for [environment] using [Terraform or Ansible]. Include provisioning structure, review controls, validation, rollback, and ownership.

Best Practices

  • Confirm metric names, labels, units, and cardinality before drafting panels.
  • Group overview, trend, and diagnostic panels in a consistent information hierarchy.
  • Test queries, variables, thresholds, and time ranges with representative production data.

Avoid

  • Do not copy example queries without adapting metric names and label dimensions.
  • Do not use color alone to communicate operational status or severity.
  • Do not deploy alert thresholds before checking service objectives and normal traffic patterns.

Frequently Asked Questions

Does this skill deploy dashboards to Grafana?
No. It provides designs and provisioning guidance, but it does not connect to or modify a Grafana instance.
Which data source does it support?
Its query examples focus on Prometheus. The design principles can support other sources after query and field adjustments.
Can it create SLO dashboards?
Yes. It can organize availability, latency, error-budget, and alert views when you provide objectives and metric definitions.
Does it support dashboard as code?
Yes. It includes guidance for file provisioning, Terraform resources, and Ansible deployment patterns.
Are the example thresholds production ready?
No. Thresholds are illustrative and must be validated against service objectives, baselines, and expected traffic.
What inputs improve the result?
Provide Grafana version, data sources, metric names, labels, service objectives, target users, refresh needs, and deployment method.

Developer Details

Author

sickn33

License

MIT

Skillstore revision

r2

Version notice

The author did not declare a version.

Repository

https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/grafana-dashboards

Ref

88a8e9a07f4c54ab105c1c41b6267c287146b07b

Maintenance freshness

7/26/2026

Usage

15 downloads · 101 views

File structure

📄 SKILL.md

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