production-readiness

Assess GitHub repositories for production readiness across 15 dimensions.

8|1|Updated Dec 29, 2025
One-click install
npx skills add https://github.com/mjohnson518/claude_superpowers --skill production-readiness-mjohnson518
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: production-readiness
Source: https://github.com/mjohnson518/claude_superpowers/tree/main/skills/production-readiness/production-readiness
Command: npx skills add https://github.com/mjohnson518/claude_superpowers --skill production-readiness-mjohnson518

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Enterprise codebases often suffer from misalignment between development and production readiness. This Skill consolidates multi-dimensional analysis to identify gaps in security, architecture, reliability, observability, and ops readiness, delivering concrete remediation plans.

Core Features & Use Cases

  • Automated CTO-level multi-dimensional readiness assessment across repositories
  • Actionable remediation roadmaps with prioritized dimensions and effort estimates
  • Comprehensive reporting with executive summaries and dimension scores
  • Use Case: Before releasing a major feature, run the assessment to surface security and reliability gaps

Quick Start

Run the main orchestrator against a repository:

  • python scripts/production_readiness.py <github_url> --depth minimal
  • python scripts/production_readiness.py https://github.com/owner/repo --output report.md

Frequently Asked Questions about production-readiness

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

FAQPage Schema
How do I automate a production readiness assessment for a GitHub repository?

You can automate a production readiness assessment by running a Python orchestrator script against a GitHub repository URL. The tool evaluates deployment readiness across 15 dimensions and exports a comprehensive report with actionable remediation recommendations.

What does a CTO-level architecture review cover for enterprise codebases?

A CTO-level architecture review covers security posture, reliability, observability, and operational readiness. It identifies gaps in multi-dimensional alignment between development and production, generating concrete remediation roadmaps with prioritized dimensions and effort estimates.

Can I run a security assessment on a large codebase before a major release?

Yes, you can run a security assessment on large codebases before releasing major features. The assessment surfaces security and reliability gaps, scoring 15 dimensions to deliver an executive summary and a comprehensive report with actionable recommendations.

How do I generate a remediation plan with effort estimates for deployment readiness?

To generate a remediation plan with effort estimates, execute the readiness orchestrator with an output flag. It produces a comprehensive report containing actionable remediation roadmaps, prioritized dimensions, and executive summaries for deployment readiness.

Does the production readiness assessment require any external dependencies or tools?

No, the production readiness assessment requires no external dependencies. It operates as a standalone Python script that directly analyzes GitHub repositories and exports the readiness report to a local Markdown file.

What is the best way to evaluate operational readiness across multiple repositories?

The best way to evaluate operational readiness across repositories is running an automated multi-dimensional assessment. It scores architecture, security, and ops readiness, producing comprehensive reports with prioritized remediation roadmaps and executive summaries.