grafana-dashboards
Build Grafana dashboards with proven patterns
Unstructured dashboards create noise and slow down incident response. This skill provides clear layouts, panel examples, and alert patterns for building effective monitoring dashboards that teams can act on immediately.
Download the skill ZIP
Upload in Claude
Go to Settings → Capabilities → Skills → Upload skill
Toggle on and start using
Test it
Using "grafana-dashboards". Design an API monitoring dashboard for a production service
Expected outcome:
- Layout hierarchy with top critical metrics, middle trends, and bottom detailed tables
- Panels for request rate per second, error rate percentage, and P95 latency
- Grafana variables for namespace and service to filter all panels dynamically
- Alert configuration triggering when error rate exceeds 5 percent over 5 minutes
Using "grafana-dashboards". Create an infrastructure dashboard for Kubernetes clusters
Expected outcome:
- Node-level CPU and memory utilization time series
- Pod count and status by namespace
- Disk I/O and network traffic by interface
- Heatmap showing resource saturation patterns
Security Audit
SafeThis skill contains only documentation and JSON dashboard examples. No executable code, scripts, file access, network activity, or command execution is present. The content is purely instructional guidance for Grafana dashboard design. The static findings of cryptographic algorithms, backtick execution, and path traversal are all false positives - backticks are markdown code delimiters, path traversal patterns are PromQL regex, and no cryptographic code exists.
Risk Factors
🌐 Network access (1)
⚙️ External commands (32)
📁 Filesystem access (1)
Quality Score
What You Can Build
Service health overview
Design an API monitoring dashboard with request rate, error rate, and latency panels
Infrastructure visibility
Create node and namespace dashboards for CPU, memory, disk, and network trends
Business KPI tracking
Build dashboards that correlate request volume with conversion and business metrics
Try These Prompts
Propose a simple dashboard layout for an API with request rate, error rate, and P95 latency panels
Add Grafana query variables for namespace and service and show how to use them in PromQL queries
Define a Grafana alert for error rate above 5 percent over five minutes, including evaluator and query parameters
Outline a provisioning approach using dashboards.yml and Terraform for a production Grafana folder
Best Practices
- Start with a clear hierarchy from critical metrics to detailed analysis
- Use consistent naming conventions and units across all panels
- Test dashboards across multiple time ranges before production deployment
Avoid
- Mixing unrelated metrics on a single panel
- Using hardcoded labels instead of query variables
- Setting alert thresholds without historical context or business alignment