What are the core SRE principles covered?

The skill focuses on measuring reliability via SLOs, reducing toil through automation, embracing risk via error budgets, and maintaining blameless operational cultures.

Can I use this for monitoring and alerting setup?

Yes, it includes guidance on the 'Four Golden Signals' (Latency, Traffic, Errors, Saturation) and best practices for configuring observability stacks like Prometheus and Grafana.

How does the skill handle error budgets?

It helps you calculate error budgets based on your SLOs and provides policy guidance on when to prioritize reliability over new feature deployments.

Does it support chaos engineering?

Absolutely, it includes patterns for fault injection and experiments using tools like Chaos Mesh to proactively test and improve system fault tolerance.

How does this skill help with incident management?

It provides standardized templates for severity levels, incident response runbooks, and blameless post-mortems to ensure structured recovery and continuous learning.

Site Reliability Engineering (SRE)

Name: Site Reliability Engineering (SRE)
Author: weirdgme

byweirdgme

•

Analytics & Monitoring

Implements industry-standard SRE practices to build, monitor, and maintain highly reliable and scalable production systems.

This skill provides a comprehensive framework for applying software engineering principles to infrastructure and operations through Site Reliability Engineering (SRE). It enables teams to define precise Service Level Objectives (SLOs), manage error budgets, and establish robust incident response protocols including on-call procedures and blameless post-mortems. By integrating observability best practices, chaos engineering experiments, and toil reduction strategies, the SRE skill helps organizations balance the need for rapid feature delivery with the critical requirement for system stability and performance.

Key Features

01Chaos engineering and resilience testing integration

02Toil identification and automation strategies

034 GitHub stars

04SLI/SLO/SLA definition and error budget tracking

05Structured incident management with runbook templates

06Comprehensive observability and monitoring configuration

Use Cases

01Defining service reliability targets and automated error budget policies

02Implementing fault injection experiments to validate system resilience

03Developing standardized incident response and escalation procedures

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add weirdgme/claude-code-infrastructure-showcase sre

For use in Claude.ai and ChatGPT

Key Features

01Chaos engineering and resilience testing integration

02Toil identification and automation strategies

034 GitHub stars

04SLI/SLO/SLA definition and error budget tracking

05Structured incident management with runbook templates

06Comprehensive observability and monitoring configuration

Use Cases

01Defining service reliability targets and automated error budget policies

02Implementing fault injection experiments to validate system resilience

03Developing standardized incident response and escalation procedures

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add weirdgme/claude-code-infrastructure-showcase sre

For use in Claude.ai and ChatGPT