web-sre

Automate release readiness review, post-release verification, and incident diagnosis for web services.

1|Updated Apr 29, 2026
One-click install
npx skills add https://github.com/sigmadigitalza/engineering-playbook --skill web-sre
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: web-sre
Source: https://github.com/sigmadigitalza/engineering-playbook/tree/main/plugins/sigma-engineering/skills/web-sre
Command: npx skills add https://github.com/sigmadigitalza/engineering-playbook --skill web-sre

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the release readiness review, post-release verification, and incident diagnosis for web services, saving time and reducing human error in SRE workflows.

Core Features & Use Cases

  • Release Readiness Review: Pre-deploy review of commits, branches, or PRs.
  • Post-Release Verification: Post-deployment health checks and regression detection.
  • Incident Diagnosis: Investigative diagnosis of production issues with hypothesis-driven analysis.
  • Use Case: Automatically verify the readiness of a new feature release before deployment, quickly identify and address issues post-deployment, or diagnose the root cause of a production incident.

Quick Start

Use the web-sre skill to diagnose a production incident by providing the production URL(s) and a description of the symptoms.

Frequently Asked Questions about web-sre

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate web service release readiness review for a new feature deployment?

Automate web service release readiness by pre-reviewing commits, branches, or PRs to validate deployment safety. This SRE skill performs approval-gated probing to ensure your new feature meets release criteria before going live, reducing human error in the workflow.

What is the best way to run post-release verification and health checks after a deployment?

Post-release verification automates health checks and regression detection immediately after deployment. By probing your production web services, it confirms the new release operates correctly and identifies any post-deployment issues quickly to maintain system stability.

How does hypothesis-driven incident diagnosis work for production web service issues?

Hypothesis-driven incident diagnosis investigates production issues by formulating and testing hypotheses against observability data and upstream service status. It systematically narrows down potential root causes using SRE best practices rather than relying on guesswork.

Do I need access to production environments and observability tools to diagnose production incidents?

Yes, diagnosing production incidents requires access to production environments, observability tools, and incident response documentation. The SRE diagnosis process probes live URLs and checks upstream service status, necessitating these permissions for effective root cause analysis.

Can I use this SRE skill to investigate upstream service status during an incident diagnosis?

Yes, incident diagnosis includes upstream service status checks as a core component. When investigating a production issue, the skill evaluates dependent upstream services to determine if external dependencies are causing or contributing to the observed symptoms.

What should I provide to start diagnosing a production incident with SRE best practices?

Provide the production URL(s) and a description of the symptoms to start diagnosing a production incident. The skill uses this input to perform hypothesis-driven investigation, probing the affected web services and checking upstream dependencies for root cause analysis.