Add or modify microservice metrics in service.yaml with go generate.
npx skills add https://github.com/microbus-io/fabric --skill adding-a-metric
Please help me install this Agent Skill. Skill: Adding a Metric Source: https://github.com/microbus-io/fabric/tree/main/.claude/skills/microbus/add-metric Command: npx skills add https://github.com/microbus-io/fabric --skill adding-a-metric
This Skill helps engineering teams create or modify custom metrics for microservices to gain visibility into runtime behavior and performance, reducing guesswork and enabling data-driven decisions.
Define a new metric in your microservice's service.yaml, run go generate to produce the boilerplate, implement the setter (e.g., AddMyMetric) and optional callback, then observe metrics in your monitoring stack.
High-intent search queries and answers about installing and using this skill.
To add a custom microservice metric, you define it in service.yaml and run go generate to produce the boilerplate. You then wire metric setters into your service code to record runtime values.
Microservice instrumentation involves defining a metric in service.yaml, generating boilerplate with go generate, and implementing setter logic in the service code. You can also integrate optional callbacks to observe values just-in-time.
Yes, the workflow enforces metric signature rules and configures histogram buckets when used. This ensures your custom observability metrics maintain consistent definitions across the generated boilerplate and service code.
Yes, you can integrate optional callbacks to observe metric values just-in-time. This allows you to dynamically track microservice runtime performance and behavior within your service logic without manual polling.
You should modify a microservice metric in service.yaml when you need to gain visibility into new runtime behaviors, tune observability workflows, or track operations like cache hits to understand bottlenecks.
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