How does this skill help with incident management?

It provides a structured response process, including severity definitions, triage steps, mitigation strategies, and postmortem templates to ensure professional recovery and continuous improvement.

What observability tools does this skill support?

The skill includes implementation patterns for Prometheus (metrics), Pino (structured logging), and OpenTelemetry (distributed tracing) to provide full visibility into system behavior.

Does it include disaster recovery planning?

Yes, it provides frameworks for RTO/RPO definitions and 3-2-1 backup strategies to ensure data integrity and service continuity during major failures.

Can it help calculate error budgets?

Yes, it includes logic and code examples for calculating error budgets based on your specific SLOs and tracking consumption over defined periods.

Reliability Engineering & SRE Toolkit

Name: Reliability Engineering & SRE Toolkit
Author: miles990

bymiles990

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Analytics & Monitoring

Implements Site Reliability Engineering principles, observability frameworks, and incident management workflows to ensure high system availability.

About

This skill equips Claude with the expertise required to build and maintain resilient production systems. It provides structured patterns for defining Service Level Objectives (SLOs), implementing the three pillars of observability (metrics, logs, and traces), and managing the end-to-end incident lifecycle. By leveraging standardized runbooks, postmortem templates, and chaos engineering principles, this skill helps developers and SREs minimize downtime, optimize error budgets, and cultivate a culture of reliability throughout the software development lifecycle.

Key Features

SLI/SLO/SLA definition and error budget calculation frameworks
1 GitHub stars
Chaos engineering patterns and disaster recovery strategy planning
Standardized incident response workflows and severity level classifications
Observability implementation for Prometheus metrics, structured logging, and OpenTelemetry
Comprehensive runbook and postmortem templates for root cause analysis

Use Cases

Setting up distributed tracing and monitoring to debug performance bottlenecks in microservices
Defining and tracking service level objectives to manage technical debt and deployment velocity
Establishing incident response procedures and documenting post-outage learnings to prevent recurrence

About

Key Features

SLI/SLO/SLA definition and error budget calculation frameworks
1 GitHub stars
Chaos engineering patterns and disaster recovery strategy planning
Standardized incident response workflows and severity level classifications
Observability implementation for Prometheus metrics, structured logging, and OpenTelemetry
Comprehensive runbook and postmortem templates for root cause analysis

Use Cases

Setting up distributed tracing and monitoring to debug performance bottlenecks in microservices
Defining and tracking service level objectives to manage technical debt and deployment velocity
Establishing incident response procedures and documenting post-outage learnings to prevent recurrence