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Check Azure production health across the API, telemetry, PostgreSQL, dependencies, and alerts. Use for "check prod", "is prod up", "prod status", "health check", "any errors?", or "check Azure".
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/learntocloud/learn-to-cloud-app --skill check-prod명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SKILL.md 표시 중
| name | check-prod |
| description | Check Azure production health across the API, telemetry, PostgreSQL, dependencies, and alerts. Use for "check prod", "is prod up", "prod status", "health check", "any errors?", or "check Azure". |
Perform a read-only health assessment of resources in rg-ltc-dev. Discover
resource names at runtime; do not rely on generated suffixes. Require an
authenticated Azure CLI session.
Run independent Azure Monitor and Log Analytics queries concurrently after resource discovery. Cover:
/ready status and response timeapi.github.comTraceback, FATAL, OOMKilled, or segmentation-fault eventsUse workspace-mode tables AppRequests, AppExceptions, AppTraces,
AppDependencies, AppAvailabilityResults, and AppMetrics. Container App
tables may use either the _CL schema with _s columns or the standard schema.
Critical: readiness is non-200; any 5xx; unavailable resource; PostgreSQL dependency failure; OOM/crash; fired Sev1 alert; DB CPU above 80% or credits below 10.
Warning: P95 above 500 ms; failed availability test; recurring exception; other dependency failure; DB CPU 50-80%, memory/storage 70-85%, or credits 10-30; Container App CPU/memory above 80%; unhealthy replicas without matching scale events; auth failures above 50% when login activity exists.
Otherwise report Healthy. Missing telemetry is Unknown, not healthy.
Return one overall verdict followed by a compact table containing each signal, its status, observed value, and time window. Put actionable critical findings first and distinguish application failures from Azure telemetry-query failures.
Diagnose and resolve GitHub Actions deployment, Terraform, migration-job, and Azure authorization failures. Use when deploy.yml or a deployment fails.
Run and review an Azure-backed Terraform plan for an infrastructure pull request without changing the user's worktree or remote state.
Query production PostgreSQL with Entra ID authentication for user investigation and data debugging. Use for production database lookups or ad-hoc queries.