Can I use this for cloud-native applications?

Absolutely. It is highly effective for managing the reliability of microservices, cloud infrastructure, and backend APIs across various environments.

How does it handle error budgets?

The skill calculates error budgets based on your defined SLOs, helping you determine the remaining 'reliability slack' before service targets are breached.

Does this skill integrate with existing monitoring tools?

Yes, it is designed to interface with your existing monitoring and metrics systems via bash commands and metric collection scripts.

What metrics can this skill track?

This skill tracks Service Level Indicators (SLIs) including availability, latency, error rates, and throughput to provide a comprehensive view of service health.

Service Reliability Tracker

Name: Service Reliability Tracker
Author: micsapp

bymicsapp

0•

Analytics & Monitoring

Defines and monitors service level agreements, indicators, and objectives to ensure high-performance service reliability and uptime.

The Service Reliability Tracker skill empowers developers and SREs to implement Site Reliability Engineering (SRE) best practices directly within Claude Code. By automating the definition and tracking of Service Level Indicators (SLIs), Objectives (SLOs), and Agreements (SLAs), this skill helps teams maintain high standards for availability, latency, and error rates. It provides a structured framework for calculating error budgets and burn rates, enabling data-driven decisions about deployment velocity and infrastructure stability while ensuring business-critical reliability targets are consistently met.

Key Features

01Integration with system monitoring and alerting configurations

02SLA documentation and customer commitment formalization

03Error budget calculation and burn rate monitoring

040 GitHub stars

05Automated SLI definition for latency, throughput, and availability

06SLO target setting with real-time performance tracking

Use Cases

01Establishing reliability benchmarks for new microservices

02Monitoring database availability against 99.9% uptime goals

03Managing error budgets to balance feature velocity with stability

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add micsapp/micstec-skills tracking-service-reliability

For use in Claude.ai and ChatGPT

Key Features

01Integration with system monitoring and alerting configurations

02SLA documentation and customer commitment formalization

03Error budget calculation and burn rate monitoring

040 GitHub stars

05Automated SLI definition for latency, throughput, and availability

06SLO target setting with real-time performance tracking

Use Cases

01Establishing reliability benchmarks for new microservices

02Monitoring database availability against 99.9% uptime goals

03Managing error budgets to balance feature velocity with stability

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add micsapp/micstec-skills tracking-service-reliability

For use in Claude.ai and ChatGPT