agentleFS
avelikiyavelikiy/great_cto/skills/observability-baseline/SKILL.md

observability-baseline

Skill112 starsChanged 2 months agoMITView on GitHub

Scaffold-time observability so a shipped product is not blind in prod from day one — error capture (Sentry), request-id structured logging, and /healthz + /readyz endpoints. stack-baseline pins Sentry but nothing wires it; this is the wiring. Loaded by app-scaffolder (bake into the scaffold), infra-provisioner (prod env + probes), and consumed by l3-support (traces) and devops (deploy gate).

  • Reads credentials

1 other project uses a version of this.

Adopted by

Most recently taken up by

The file

Files
SKILL.md

observability-baseline

stack-baseline names Sentry and wires it nowhere — so every shipped product's first prod incident is invisible, and l3-support triages blind. This skill makes three things exist at scaffold time. Defaults baked in; no founder question.

1. Error capture (Sentry)

  • instrumentation.ts (Next.js) / SDK init at process start; DSN from SENTRY_DSN env (never hardcoded).
  • CI uploads source maps on release so stack traces are readable (release = git sha).
  • Capture unhandled rejections + a global error boundary on the client.

2. Request-id structured logging

  • A logger that emits JSON (not console.log prose) with a per-request request_id (generate at the edge, propagate via header/async-local-storage).
  • Levels: error / warn / info / debug — diagnostics go to stderr, never mixed into user-facing stdout. (Same discipline as the CLI logging gap, DEEPEN d94.)
  • One log line per request with: request_id, method, path, status, latency_ms.

3. Health endpoints

  • GET /healthz — liveness (process up). GET /readyz — readiness (deps reachable: db, cache). Cheap, unauthenticated, no PII.
  • These are what infra-provisioner probes and what a load balancer checks.

Wiring (a skill is shelfware unless a consumer loads it)

ConsumerWhat it does with this skill
app-scaffolderbakes instrumentation.ts + the JSON logger + /healthz+/readyz into the generated app; adds SENTRY_DSN to .env.example
infra-provisionersets SENTRY_DSN in the prod env list; points the platform health probe at /readyz; records the Sentry project in PROVISION
l3-supportfirst triage step reads Sentry + the request-id logs (a trace now exists to read)
devopsdeploy gate fails if /readyz doesn't return 200 post-deploy

Output

A scaffolded app where the first prod error is captured, every request is traceable by id, and the platform can health-check it. Record the Sentry project + endpoints in docs/infra/PROVISION-{slug}.md. Done = the three pieces exist AND are wired into the prod env, not just present in code.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.