observability-and-structured-logging
Skill1 starsChanged 2 months agoMITView on GitHub
Use when adding logging, monitoring, metrics, health checks, or tracing. Enforces structured JSON and distributed context propagation.
In this repository55 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
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- accessibility-and-inclusive-designSkill
- animateSkill
- api-contracts-and-backward-compatSkill
- appsec-code-reviewSkill
- architecture-decision-recordsSkill
- code-review-and-qualitySkill
- code-simplificationSkill
- concurrency-and-race-conditionsSkill
- database-and-migrations-architectSkill
- dependency-vulnerability-auditSkill
- design-taste-frontendSkill
- emil-design-engSkill
- graphifySkill
- headroomSkill
- impeccableSkill
- incremental-implementationSkill
- observability-and-structured-loggingSkill
- planning-and-task-breakdownSkill
- ponytail-auditSkill
- ponytail-reviewSkill
- refactoring-legacy-codeSkill
- root-cause-analysis-and-postmortemSkill
- secret-scanningSkill
- shipping-and-launchSkill
- spec-driven-developmentSkill
- test-driven-developmentSkill
- threat-modelingSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 11
Never output unstructured string text (console.log("user logged in: " + user)).
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Observability, Structured Logging & Health
Production systems must be observable without attaching a remote debugger:
1. Structured JSON Logging
- Never output unstructured string text (
console.log("user logged in: " + user)). - Log JSON payloads with standard keys:
{ "timestamp": "2026-09-13T21:40:00.000Z", "level": "info", "message": "User session authenticated", "service": "auth-service", "trace_id": "4bf92f3577b34da6a3ce929d0e0e4736", "span_id": "00f067aa0ba902b7", "user_id": "usr_98124", "duration_ms": 14.2 }
2. Request Correlation & Context Propagation
- Extract or generate an
x-request-idheader at the API boundary. - Propagate the request ID through async context and include it in all outbound HTTP/RPC client calls.
3. Production Health Probes
- Implement standardized health endpoints:
/healthz(Liveness): Returns 200 if the process event loop is responsive./readyz(Readiness): Returns 200 only if critical dependencies (database, message queue) are connected and ready to accept traffic.
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