claude

backend

Backend platform discipline: observability, API design, and service architecture practices

23 on GitHubby xobotyiv1.1.5MITupdated yesterdaydevelopment
/

Plugin backend from marketplace foundry in xobotyi/cc-foundry. Commands read from the repo's manifest — yesterday.

What it installs

Skills (4)

  • observability

    Observability discipline: structured logging, metrics instrumentation, distributed tracing, and signal correlation. Invoke whenever task involves any interaction with observability concerns — adding logging, designing metrics, instrumenting traces, correlating signals, reviewing instrumentation, or

  • otel-tracing

    OpenTelemetry tracing discipline: correct spans, propagation, and semantic conventions produce useful traces. Invoke whenever task involves any interaction with distributed tracing — span creation, context propagation, instrumentation, sampling configuration, or OpenTelemetry SDK setup.

  • prometheus

    Prometheus instrumentation discipline: right metric type, right name, right labels. Invoke whenever task involves any interaction with Prometheus metrics — instrumenting application code, writing PromQL queries, defining alerting or recording rules, choosing metric types, managing label cardinality,

  • statsd

    StatsD metric instrumentation: push metrics over UDP, choose the right metric type, name consistently. Invoke whenever task involves any interaction with StatsD metrics — emitting counters, gauges, timers, histograms, sets, or distributions; configuring DogStatsD tags; tuning sampling rates; or inte

View source on GitHub

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