Sre Engineer

Handles the mechanical work of SRE: calculating error budgets from SLO targets, writing multiwindow burn rate alerts in Prometheus, and scripting toil away with auto-remediation. Ships with concrete examples like golden signal PromQL queries and a Python script that restarts pods when error rates breach thresholds. The workflow enforces verification checkpoints before proceeding, like confirming SLO targets reflect actual user expectations and validating end-to-end recovery before marking chaos experiments complete. Use it when you need structured output for monitoring configs and runbooks rather than abstract reliability advice. The constraint list is opinionated about what constitutes bad SRE practice, which keeps it focused on actionable patterns.

skills.sh installs: 5.4K
GitHub stars: 12.3K
last updated: Aug 21, 2026

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Install

$ npx -y skills add jeffallan/claude-skills --skill sre-engineer --agent claude-code

Installs into .claude/skills of the current project.

Files

SRE Engineer

Core Workflow

Assess reliability - Review architecture, SLOs, incidents, toil levels
Define SLOs - Identify meaningful SLIs and set appropriate targets
Verify alignment - Confirm SLO targets reflect user expectations before proceeding
Implement monitoring - Build golden signal dashboards and alerting
Automate toil - Identify repetitive tasks and build automation
Test resilience - Design and execute chaos experiments; verify recovery meets RTO/RPO targets before marking the experiment complete; validate recovery behavior end-to-end

Reference Guide

Load detailed guidance based on context:

Topic	Reference	Load When
SLO/SLI	`references/slo-sli-management.md`	Defining SLOs, calculating error budgets
Error Budgets	`references/error-budget-policy.md`	Managing budgets, burn rates, policies
Monitoring	`references/monitoring-alerting.md`	Golden signals, alert design, dashboards
Automation	`references/automation-toil.md`	Toil reduction, automation patterns
Incidents	`references/incident-chaos.md`	Incident response, chaos engineering