prometheus-go-code-review

What it does

This skill enables AI agents to perform automated code reviews specifically for Go applications that interact with Prometheus. It analyzes source code to ensure metrics collection logic aligns with best practices and integrates correctly with the monitoring ecosystem.

When to use it

• Before merging changes to a Go service that exposes new metrics endpoints.
• When refactoring existing instrumentation to reduce cardinality or improve query performance.
• To validate that label usage in metric definitions adheres to Prometheus naming conventions.
• During CI/CD pipelines to catch instrumentation errors before they reach production.

Key capabilities

• Analyzes Go code for proper metric registration and labeling.
• Identifies potential issues with metric cardinality explosion.
• Checks alignment with Prometheus data model standards.
• Provides feedback on counter vs. gauge usage in Go implementations.

Example prompts

• "Review this Go file for Prometheus instrumentation errors and suggest fixes."
• "Analyze these metrics definitions for high cardinality risks and label best practices."
• "Check if this new endpoint correctly registers counters and follows Prometheus naming conventions."

Tips & gotchas

Ensure your Go codebase includes the necessary Prometheus client libraries before running the review, as missing dependencies may lead to incomplete analysis. This skill focuses on code structure and metric definitions; it does not validate actual runtime behavior or scrape configurations.