Observability Engineer

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by sickn33 · vlatest · Repository

This Observability Engineer skill helps monitor system health & performance by automating log analysis and alerting, ensuring rapid issue detection and resolution.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add observability-engineer npx -- -y @trustedskills/observability-engineer
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "observability-engineer": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/observability-engineer"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill allows AI agents to perform tasks related to observability engineering. It can analyze logs, metrics, and traces to identify performance bottlenecks and anomalies within a system. Furthermore, the agent can configure dashboards and alerts based on these data sources for proactive monitoring.

When to use it

  • Troubleshooting slow API response times by analyzing request latency across different microservices.
  • Setting up automated alerting when error rates exceed a predefined threshold in production environments.
  • Creating custom Grafana dashboards to visualize key performance indicators (KPIs) for application health.
  • Identifying the root cause of an intermittent system failure through correlation of logs and traces.

Key capabilities

  • Log analysis and aggregation
  • Metric collection and visualization
  • Distributed tracing instrumentation
  • Dashboard creation (e.g., Grafana)
  • Alerting rule configuration

Example prompts

  • "Analyze the last hour of application logs for error messages."
  • "Create a Grafana dashboard showing CPU utilization across all servers."
  • "Set up an alert if the average response time for the checkout service exceeds 500ms."
  • "Correlate these trace IDs to identify the source of this performance bottleneck."

Tips & gotchas

The agent requires access to relevant data sources (e.g., Prometheus, Elasticsearch, Grafana) and appropriate permissions to configure them. Ensure proper authentication credentials are provided for seamless integration with existing observability infrastructure.

Tags

🛡️

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Details

Version
vlatest
License
Author
sickn33
Installs
0

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