prometheus-metrics
Prometheus metrics querying and alerting
When & Why to Use This Skill
The Prometheus Metrics skill empowers Claude to perform advanced monitoring and observability tasks by directly interfacing with Prometheus servers. It enables seamless PromQL querying, alert management, and infrastructure health tracking, significantly reducing context overhead while providing real-time insights into system performance and reliability.
Use Cases
- Incident Investigation: Rapidly analyze active alerts and execute PromQL queries to identify root causes during system outages or performance regressions.
- Performance Analysis: Utilize range queries and time-window data to visualize trends, identify resource bottlenecks, and optimize infrastructure scaling.
- Health Monitoring: Check the status of scrape targets and verify the operational health of distributed services and exporters in real-time.
- Alerting Governance: List and audit active alerting rules and label sets to ensure comprehensive monitoring coverage and minimize alert fatigue.
| name | prometheus-metrics |
|---|---|
| description | Prometheus metrics querying and alerting |
| version | 1.0.0 |
| allowed-tools | [Bash, Read, WebFetch] |
Prometheus Metrics Skill
Overview
Prometheus metrics and alerting. 90%+ context savings.
Requirements
- PROMETHEUS_URL environment variable
Tools (Progressive Disclosure)
Queries
| Tool | Description |
|---|---|
| query | Execute PromQL query |
| query-range | Range query with time window |
| instant | Instant query |
Targets
| Tool | Description |
|---|---|
| targets | List scrape targets |
| target-health | Check target health |
Alerts
| Tool | Description |
|---|---|
| alerts | List active alerts |
| rules | List alerting rules |
Metadata
| Tool | Description |
|---|---|
| metrics | List all metrics |
| labels | List label values |
Agent Integration
- devops (primary): Monitoring setup
- incident-responder (primary): Alert investigation
- performance-engineer (secondary): Performance analysis