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Observability Monitoring Monitor Setup

Listed
sickn33·vlatest·devops·MIT

Helps with monitoring, setup and configuration as part of automating DevOps pipelines and CI/CD workflows workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add sickn33/agentic-awesome-skills --skill observability-monitoring-monitor-setup -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

sickn33

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Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

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  • No pipe-to-shell installers: passed

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    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned sickn33/antigravity-awesome-skills at 5a4cdd9df8.

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Commit
5a4cdd9df8
Manifest
skills/observability-monitoring-monitor-setup/SKILL.md
Scanned
0 files
Copies in repo
3 — all of them scanned
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About this skill

The observability-monitoring-monitor-setup skill enables AI agents to configure and deploy comprehensive monitoring stacks for infrastructure, applications, and logs. It automates the installation of tools like Prometheus, Grafana, and Loki to ensure system health is tracked in real-time.

When to use it

  • Deploying a new microservices architecture that requires distributed tracing and metrics collection.
  • Automating the setup of alerting rules for critical server resources like CPU usage or memory leaks.
  • Integrating log aggregation pipelines to centralize application debugging data from multiple sources.
  • Establishing a baseline observability environment before scaling an application to production.

Key capabilities

  • Automated installation and configuration of Prometheus for metrics scraping.
  • Deployment of Grafana dashboards for visualizing system performance data.
  • Setup of Loki for efficient log aggregation and querying.
  • Configuration of alerting rules to notify teams of anomalies.

Example prompts

  • "Set up a full observability stack using Prometheus, Grafana, and Loki for my new Kubernetes cluster."
  • "Configure monitoring for my Python web application to track request latency and error rates automatically."
  • "Install a monitoring solution that aggregates logs from my Docker containers into a central dashboard."

Tips & gotchas

Ensure your target infrastructure has sufficient storage and network bandwidth, as log aggregation tools like Loki can consume significant resources quickly. Verify that the AI agent has appropriate permissions to install system packages or modify container configurations before execution.