Observability Setup
SkillMonitoring & opsSet up metrics, logs, and traces for a service. Use when a mid-level developer needs basic observability coverage.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Observability Setup skill
What this skill tells your AI
The instructions your AI receives, as published by proflead/codex-skills-library in skills/infra/observability-setup/SKILL.md and read by ahel’s review.
Purpose
Set up metrics, logs, and traces for a service.
Inputs to request
- Service architecture and key endpoints.
- Existing logging and monitoring tools.
- SLI or reliability targets.
Workflow
- Define key service indicators and error budget metrics.
- Instrument logs with correlation IDs.
- Set alerts for critical thresholds.
Output
- Instrumentation checklist and alert plan.
Quality bar
- Measure user impact, not just system health.
- Avoid noisy alerts by defining clear thresholds.
Signals
- GitHub stars
- 144
- Forks
- 30
- Last commit
- Jul 2026
Advanced
- Catalog kind
- skill
- Gateway key
observability-setup-proflead- Source
- github.com/proflead/codex-skills-library