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Cloud Monitoring Alert

Listed
jeremylongshore·vlatest·devops·MIT

Proactively monitors cloud resources & triggers alerts based on custom thresholds defined by JeremyLongshore.

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 jeremylongshore/tons-of-skills-marketplace --skill cloud-monitoring-alert -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

jeremylongshore

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

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

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 396 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as jeremylongshore/claude-code-plugins-plus-skills.
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About this skill

What it does

This skill allows AI agents to monitor cloud resources and trigger alerts based on predefined thresholds. It can analyze metrics like CPU utilization, memory usage, or network traffic and notify users when these metrics exceed specified limits. The agent can then take actions such as escalating the issue to an engineer or automatically scaling up resources.

When to use it

  • Proactive Issue Detection: Identify potential problems before they impact users by monitoring key performance indicators (KPIs).
  • Incident Response Automation: Automatically trigger alerts and notifications when critical thresholds are breached, speeding up incident resolution.
  • Resource Optimization: Analyze resource utilization patterns and identify opportunities to optimize cloud spending.
  • Capacity Planning: Predict future capacity needs based on historical trends and proactively scale resources.

Key capabilities

  • Metric analysis
  • Threshold-based alerting
  • Notification escalation
  • Automated actions (e.g., scaling)

Example prompts

  • "Alert me if CPU utilization exceeds 80% for more than 5 minutes."
  • "Create a notification rule to send an email when memory usage is above 90%."
  • “Scale up the web server instances if latency increases beyond 200ms.”

Tips & gotchas

This skill requires access to cloud monitoring data and appropriate permissions to configure alerts and actions. Ensure that your AI agent has the necessary credentials and configurations for your specific cloud environment.