observability-designer
Design production-ready observability strategies combining metrics, logs, and traces. Includes SLI/SLO design, golden-signals monitoring, alert optimization. Use when adding observability to a new service, refactoring alerting that is too noisy, or designing an SLO program before scaling production load.
Profile →npx skills add alirezarezvani/claude-skills --skill observability-designer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Observability Designer (POWERFUL) **Category:** Engineering **Tier:** POWERFUL **Description:** Design comprehensive observability strategies for production systems including SLI/SLO frameworks, alerting optimization, and dashboard generation. ## Overview Observability Designer creates production-ready dashboards, alert configurations, and monitoring strategies across the three pillars (metrics, logs, traces). **When NOT to use → slo-architect.** For SLO/SLI design with error-budget math, multi-window burn-rate alerting thresholds, and SLO review gates, route to `slo-architect` — it is the authoritative skill for that half. This skill's `slo_designer.py` produces a quick scaffold only. This skill's lane: dashboards (`dashboard_generator.py`) and alert-noise reduction (`alert_optimizer.py`). ## Quick Start ```bash # Dashboard spec (Grafana JSON + docs) for a service python3 scripts/dashboard_generator.py --service-type api --name payments --criticality critical --role sre --format grafana -o dashboard.json --doc-output dashboard.md # Analyze an existing alert config for noise, duplicates, and coverage gaps python3 scripts/alert_optimizer.py --input alerts.json --analyze-only --rep
- Overview
- Quick Start
- Core Competencies
- SLI/SLO/SLA Framework Design
- Three Pillars of Observability
- Dashboard Design Principles
- Alert Design and Optimization
- Runbook Generation and Incident Response
- Golden Signals Framework
- Distributed Tracing Strategies
- Log Aggregation Patterns
- Cost Optimization for Observability
- Scripts Overview
- 1. SLO Designer (slodesigner.py)
Dashboard spec (Grafana JSON + docs) for a service Analyze an existing alert config for noise, duplicates, and coverage gaps python3 scripts/alert_optimizer.py --input alerts.json --analyze-only --report alert_report.json python3 scripts/alert_optimizer.py --input alerts.json --output alerts_optimized.json Quick SLO scaffold (hand off to slo-architect for the real error-budget work) python3 scripts/slo_designer.py --service-type api --criticality high --user-facing true --service-name payments -o slo_scaffold.json
What does the observability-designer skill do?
Design production-ready observability strategies combining metrics, logs, and traces. Includes SLI/SLO design, golden-signals monitoring, alert optimization. Use when adding observability to a new service, refactoring alerting that is too noisy, or designing an SLO program before scaling production load.
How do I install it?
Run `npx skills add alirezarezvani/claude-skills --skill observability-designer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From alirezarezvani/claude-skills, a repository with 23,791 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.