prometheus
Prometheus monitoring — scrape configuration, service discovery, recording rules, alert rules, and production deployment for infrastructure and application metrics.
Why use this skill?
Learn how to use OpenClaw's Prometheus skill to automate metric collection, service discovery, alert rules, and production monitoring setups for your infrastructure.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/wpank/prometheus-devopsWhat This Skill Does
The Prometheus skill for OpenClaw is an advanced DevOps assistant designed to streamline the configuration, deployment, and management of Prometheus monitoring systems. It enables users to automate complex tasks such as defining scrape configurations for various environments, implementing robust service discovery patterns (including Kubernetes-native and file-based mechanisms), and crafting efficient recording and alerting rules. This skill bridges the gap between infrastructure configuration and observability, allowing engineers to manage production-grade monitoring setups with minimal overhead. It handles everything from the initial Helm-based installation to the fine-tuning of relabeling configurations, ensuring that infrastructure and application metrics are collected, queried, and alerted on with high reliability.
Installation
You can install this skill directly using the OpenClaw command-line interface or via the skill dashboard. Execute the following command in your terminal:
clawhub install openclaw/skills/skills/wpank/prometheus-devops
Ensure you have your environment credentials set up to allow the agent to interface with your cluster configuration if you plan to use it for live monitoring deployment.
Use Cases
This skill is highly effective for several operational scenarios. First, it simplifies the onboarding of new services, where you can simply describe your application's endpoints and requirements to the agent. It will generate the necessary scrape jobs and TLS configurations. Second, it excels at defining SLO-based alerts; you can describe your availability targets, and the agent will produce compliant PromQL alerting rules. Third, it acts as an expert resource for troubleshooting; if your targets are showing as down or metrics are missing, the agent can analyze your prometheus.yml or your Kubernetes resource annotations to identify common pitfalls like incorrect job labels or selector mismatches.
Example Prompts
- "Create a scrape configuration for a new service running on Kubernetes pods that uses a custom port 8080 and requires the annotation-based discovery method."
- "I need to optimize my Prometheus performance. Can you suggest a recording rule to pre-calculate the 95th percentile latency for my production API endpoints over the last hour?"
- "My node-exporter targets are showing as down. Analyze this relabel_config block and tell me why the instance labels are failing to populate correctly."
Tips & Limitations
To maximize the utility of the Prometheus skill, always provide the agent with your existing global configuration or current prometheus.yml file content. This ensures the agent suggests changes that are syntactically consistent with your environment. Note that while this agent is a powerful helper for generating configurations, it does not have direct write-access to your production infrastructure unless explicitly configured with appropriate RBAC permissions. Always review the suggested YAML configurations in a staging environment before applying them to production systems. Use this tool primarily as a generator for IaC (Infrastructure as Code) templates rather than relying on it to directly push changes to your cluster.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-wpank-prometheus-devops": {
"enabled": true,
"auto_update": true
}
}
}Tags
Flags: file-read, code-execution
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