monitoring-observability · ahmedasmar — Claude Code skill: metrics, logs, SLOs
A skill for building monitoring and observability: metrics strategy, alerts, dashboards, SLOs and incident troubleshooting.
npx skills add ahmedasmar/devops-claude-skills --skill monitoring-observability -a claude-code
npx skills add ahmedasmar/devops-claude-skills --skill skills -a claude-codeWhat monitoring-observability does
The skill walks a decision tree. Setting up monitoring from scratch starts at metrics strategy design; an existing problem jumps straight to troubleshooting. It lays out the Four Golden Signals, the RED and USE methods, and PromQL snippets for request rate, error ratio and p95 latency. Separate sections cover structured logging, alert design with severity levels and multi-window burn rate, Grafana dashboard generation, and SLOs with error budgets.
Bundled scripts do the repetitive part: scripts/log_analyzer.py scans a log file for errors, patterns and stack traces, scripts/alert_quality_checker.py audits Prometheus rules for naming, required labels and the for clause, and scripts/dashboard_generator.py builds dashboard JSON from a template. There are alert templates for web apps and Kubernetes, plus an incident runbook template. Prometheus and CloudWatch queries run from the CLI through curl and aws cloudwatch get-metric-statistics.
The scripts need Python 3. CloudWatch queries expect a configured AWS CLI, and Prometheus queries need a reachable API endpoint. If you are on Datadog and the bill keeps climbing, the skill has a branch on cost optimization and moving to an open-source stack — worth doing the math on which metrics drive the volume before you migrate.
What it helps with
- design a metrics set for a new service
- write an alert on error budget burn
- generate a Grafana dashboard from a template
- scan a log file for errors and stack traces
- calculate an SLO and error budget
Example prompts for the agent
- help me design metrics for a new API using the Four Golden Signals
- run alert_quality_checker against my Prometheus rules
- generate a Grafana dashboard for the payment_api service
How to install monitoring-observability
1Skills CLI (Vercel)
npx skills add ahmedasmar/devops-claude-skills --skill monitoring-observability -a claude-codenpx skills add ahmedasmar/devops-claude-skills --skill skills -a claude-code2Manually: put the files in place
~/.claude/skills/skills/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/skills/
1Skills CLI (Vercel)
npx skills add ahmedasmar/devops-claude-skills --skill skills -a codex2Manually: put the files in place
.agents/skills/skills/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add ahmedasmar/devops-claude-skills --skill skills -a cursor2Manually: put the files in place
.cursor/skills/skills/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install ahmedasmar/devops-claude-skills skills2Manually: put the files in place
.github/skills/skills/SKILL.md1Skills CLI (Vercel)
npx skills add ahmedasmar/devops-claude-skills --skill skills -a gemini-cli2Platform CLI
gemini skills install https://github.com/ahmedasmar/devops-claude-skills --path monitoring-observability/skillsManually: put the files in place
.devin/skills/skills/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add ahmedasmar/devops-claude-skills --skill skills -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about monitoring-observability
How do I install monitoring-observability in Claude?
Run npx skills add ahmedasmar/devops-claude-skills --skill monitoring-observability -a claude-code. The skill file then lands at ~/.claude/skills/skills/SKILL.md.
What does monitoring-observability do?
It covers monitoring and observability work: metrics strategy, structured logging, alerts, dashboards, SLOs with error budgets, and performance troubleshooting.
What do the skill's scripts require?
Python 3 for log_analyzer.py, alert_quality_checker.py and dashboard_generator.py. CloudWatch queries go through the AWS CLI, Prometheus queries through its HTTP API.
Similar skills
Everything for DevOps and infrastructure →monitoring-observability by other authors comes first.
