
observability
by SylphxAI
ð AI development platform with MEP architecture - stop writing prompts, start building with 90% less typing
SKILL.md
name: observability description: Observability - logging, metrics, tracing. Use when adding monitoring.
Observability Guideline
Tech Stack
- Error Tracking: Sentry
- Analytics: PostHog
- Platform: Vercel
Non-Negotiables
- Correlation IDs must exist end-to-end (request â job â webhook)
- Alerts must exist for critical failures
- Errors must be actionable, not noise
Context
Observability is about answering questions when things go wrong. It's 3am, something is broken â can you figure out what happened? How fast?
PII protection in logs is enforced via privacy. This skill focuses on making debugging effective.
Driving Questions
- If something breaks now, how would we find out?
- What blind spots exist where errors go unnoticed?
- How long to trace a request through the system?
- What alerts exist, and do they fire correctly?
- Where is noise training people to ignore alerts?
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