observability
De la autor
Instrument a service so the questions asked during an incident are answerable from data already being collected — rate, errors, latency distribution and saturation per route, structured events carrying a correlation id that survives process and queue boundaries, and alerts on symptoms users feel. Use before a service or a new critical path goes to production, after an incident that ended in "we had no data for that", or when adding a dependency, queue or job whose failure would be silent. Not for fighting a live outage (incident-response), not for profiling a known-slow path (performance-profiling), and not for tracing agent or LLM runs (llm-observability).
Instalare
npx skills add nahid-sparktales/agent-dispatcher --skill observability -a claude-code
Se instalează în .claude/skills/observability/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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De ce 82
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
- observability-and-reliabilitycbrock84/headcountMakes systems debuggable and reliably operable — instrumentation, alerting that is worth waking for, service objectives, and learning from failure. Use this to instrument a service, fix alerting that is ignored, set error budgets or reliability targets, prepare for on-call, or run a blameless post-incident review.DevOps★ 2.1K
- observability-and-instrumentationaddyosmani/agent-skillsInstruments code so production behavior is visible and diagnosable. Use when adding logging, metrics, tracing, or alerting. Use when shipping any feature that runs in production and you need evidence it works. Use when production issues are reported but you can't tell what happened from the available data.DevOps★ 110.3K
- observability-instrumentationBlackBeltTechnology/pi-agent-dashboardMake runtime behavior visible and diagnosable. Use on triggers like "add logging/metrics/tracing", "instrument this", "add alerting", "we can't tell what happened in prod", or when a feature needs evidence it works at runtime. Fills an instrumentation gap not covered by the project's existing skills. Not a ship or release workflow.DevOps★ 331
- monitoringericrisco/rsc-harnessUse when setting up uptime and health monitoring, alerts, or on-call basics for a service already in production, so you learn it is down before customers do — health and readiness probes, alerting on SLO error-budget burn rather than raw counts, curing alert fatigue, on-call rotation with escalation, and a status page. NOT instrumenting logs, metrics or traces, or wiring OpenTelemetry (that is `observability`).DevOps★ 272
- llm-observabilitynahid-sparktales/agent-dispatcherSee what an agent actually did — one trace per run with nested model, tool and retrieval spans, token and latency accounted per step, and failures clustered by mechanism instead of read one at a time. Use when an agent misbehaves in ways you cannot reproduce, when cost or latency is unexplained, when "it sometimes fails" is the whole bug report, or before writing evals when you do not yet know which failures exist. Not for judging whether an output is correct (agent-evals), and not a replacement for the application's own monitoring.DevOps★ 59
- agent-observabilityBagelHole/DevOps-Security-Agent-SkillsInstrument AI agents with tracing, token metrics, latency, and cost visibility. Use for reliability and debugging.DevOps★ 1.2K
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