prometheus-go-code-reviewReviews Prometheus instrumentation in Go code for proper metric types, labels, and patterns. Use when reviewing code with prometheus/client_golang metrics.
Install via ClawdBot CLI:
clawdbot install anderskev/prometheus-go-code-reviewGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Apr 18, 2026
A fintech company uses Go microservices for transaction processing and needs to ensure Prometheus metrics are correctly instrumented to monitor latency, error rates, and throughput. This skill helps review code to prevent high-cardinality labels from user IDs and ensure proper metric types for SLA tracking.
An online retail platform relies on Go services for inventory management and order fulfillment. The skill assists in auditing Prometheus instrumentation to optimize metric naming, avoid per-request registration, and expose /metrics endpoints for real-time dashboarding and alerting.
A manufacturing firm uses Go applications on IoT devices to collect sensor data and send metrics to Prometheus. This skill reviews code to ensure gauge metrics for device states and counter metrics for events are properly defined, with low-cardinality labels to manage resource constraints.
A SaaS provider builds cloud-native Go applications with Kubernetes and needs to standardize Prometheus metrics across teams. The skill checks for adherence to conventions like unit suffixes and histogram buckets, facilitating consistent monitoring in dynamic environments.
A media streaming company operates a Go-based API gateway to handle millions of requests daily. This skill reviews instrumentation to validate metric types for request counts and durations, ensuring labels like method and status code are used to avoid performance issues from high cardinality.
Offer specialized code review and auditing services to companies adopting Prometheus with Go, helping them optimize monitoring setups and avoid common pitfalls. Revenue is generated through hourly or project-based contracts with clients in tech-heavy industries.
Develop and sell a SaaS platform that integrates this skill for automated code analysis, providing continuous monitoring of Prometheus instrumentation in CI/CD pipelines. Revenue comes from subscription tiers based on usage volume and features.
Conduct training sessions and workshops for engineering teams on best practices for Prometheus in Go, using the skill's checklist and examples. Revenue is earned through course fees and corporate training packages for upskilling developers.
💬 Integration Tip
Integrate this skill into code review workflows or CI pipelines to automatically flag issues like high-cardinality labels and incorrect metric types, ensuring consistent monitoring from development to production.
Scored Apr 19, 2026
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Systematic code review patterns covering security, performance, maintainability, correctness, and testing — with severity levels, structured feedback guidance, review process, and anti-patterns to avoid. Use when reviewing PRs, establishing review standards, or improving review quality.
Coding style memory that adapts to your preferences, conventions, and patterns for consistent coding.
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