A comprehensive framework for deploying production-grade Prometheus monitoring, alerting, and service discovery.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install prometheus-devops
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install prometheus-devops using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Prometheus Monitoring & Observability?
Prometheus is the industry-standard open-source systems monitoring and alerting toolkit. This skill provides a robust framework for implementing full-stack observability, from configuring scrape jobs for applications and infrastructure to managing complex recording and alerting rules. By leveraging Openclaw Skills, developers can ensure their monitoring stack is highly available, performant, and scalable.
Whether you are managing Kubernetes workloads or traditional static infrastructure, this skill covers the architectural patterns and configuration best practices required for a production-ready setup. It focuses on reducing Mean Time to Recovery (MTTR) through intelligent alerting and optimizing dashboard performance with pre-computed recording rules to ensure your monitoring remains responsive even at scale.
Prometheus Monitoring & Observability Use Cases
- Automate metrics collection for microservices using dynamic service discovery in Kubernetes.
- Implement SLO-based alerting to monitor service availability and p95 latency thresholds.
- Pre-compute expensive PromQL queries using recording rules to accelerate Grafana dashboard loading times.
- Manage high-availability Prometheus clusters with persistent storage and retention planning.
- Validate and troubleshoot configuration syntax and scrape target health using specialized CLI tools.
How Prometheus Monitoring & Observability Works
- Initialize global configurations including scrape intervals, evaluation intervals, and external labels for multi-cluster environments.
- Configure service discovery mechanisms such as Kubernetes API watchers, file-based inventories, or static configs to automatically identify targets.
- Apply recording rules to pre-aggregate high-cardinality data, reducing the computational load on the Prometheus engine during dashboard queries.
- Define alert rules with specific thresholds and durations to trigger notifications through AlertManager to Slack, PagerDuty, or Webhooks.
- Use the promtool utility to validate configuration syntax and rule logic before reloading the Prometheus server via the lifecycle API.
Prometheus Monitoring & Observability Setup
To deploy a production-ready Prometheus instance on Kubernetes using this skill, execute the following commands:
helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
helm install prometheus prometheus-community/kube-prometheus-stack \
--namespace monitoring --create-namespace \
--set prometheus.prometheusSpec.retention=30d \
--set prometheus.prometheusSpec.storageVolumeSize=50Gi
For validating your local Openclaw Skills configuration files, use the promtool binary:
# Validate the main configuration
promtool check config prometheus.yml
# Validate recording and alerting rules
promtool check rules /etc/prometheus/rules/*.yml
Prometheus Monitoring & Observability Data Schema & Taxonomy
The skill organizes monitoring logic into a structured directory hierarchy and specific YAML schemas. Metrics and rules follow a standardized taxonomy to ensure interoperability across Openclaw Skills.
| Component | Configuration File | Purpose |
|---|---|---|
| Main Configuration | prometheus.yml |
Global settings, scrape jobs, and AlertManager routing. |
| Recording Rules | recording_rules.yml |
Pre-computed metrics using the level:metric_name:operations convention. |
| Alerting Rules | alert_rules.yml |
Definitions for service availability, resource usage, and latency alerts. |
| Target Inventory | targets/*.json |
Dynamic target lists for file-based service discovery. |
All metrics use standard unit suffixes like _total for counters, _seconds for durations, and _bytes for memory/storage sizes.
Prometheus Monitoring & Observability Advanced Features
- Annotation-based Kubernetes service discovery for zero-touch pod monitoring.
- Advanced relabeling configurations to standardize instance names and drop high-cardinality labels.
- High-availability (HA) deployment strategies with duplicated scraping and shared storage targets.
- Support for long-term storage integration via Thanos or Cortex for retention beyond standard disk limits.
- Federation support to allow global Prometheus instances to aggregate data from multiple regional deployments.
SKILL.md
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