菜单
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".
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/learntocloud/learn-to-cloud-app --skill check-prod命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
| 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.