production-code-workflow

Scan multi-language repositories for non-production code and anti-patterns.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/ribatshepo/cc-auto-orchestrate --skill production-code-workflow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: production-code-workflow
Source: https://github.com/ribatshepo/cc-auto-orchestrate/tree/main/claude-code/skills/production-code-workflow
Command: npx skills add https://github.com/ribatshepo/cc-auto-orchestrate --skill production-code-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires layer0, layer1, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Production-grade code patterns, detection scripts, and reference materials to ensure code is production-ready and free of placeholders across multiple languages.

Core Features & Use Cases

  • Detection Scripts: automated scans for non-production code and anti-patterns across Java, Python, TypeScript, Go, and more.
  • Implementation Patterns: production-ready code examples and best practices by language.
  • Review Checklists & Research: structured guidance for reviews and research queries to improve quality and consistency.
  • Use Case: teams can quickly validate the readiness of a feature before handoff to production.

Quick Start

Run the detection and plan scripts to scan a repository and generate a production-readiness report.

Frequently Asked Questions about production-code-workflow

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

FAQPage Schema
How do I detect non-production code and anti-patterns across multiple programming languages?

Production readiness validation works by codifying production-grade code patterns and validation rules, then applying detection scripts to enforce quality gates before feature handoff.

What's the best way to validate code readiness before handing off a feature to production?

Yes, you can use this for code reviews by applying structured review checklists and reference materials that enforce production-grade patterns and consistency across multiple languages.

How do I enforce production-ready code patterns during a multi-language project review?

Production readiness validation works by codifying production-grade code patterns and validation rules, then applying detection scripts to enforce quality gates before feature handoff.

Can I use detection scripts to find placeholder code in Java, Python, and TypeScript repositories?

Detection scripts automatically scan multi-language repositories for non-production code and anti-patterns, supplying validation rules to ensure code is free of placeholders.

Do I need specific dependencies to run production code pattern checks and generate readiness reports?

Dependencies include layer0 and layer1 components, which provide the foundational scripts and references required to execute detection scans and enforce quality gates.

What are the limitations of using automated detection scripts for production code validation?

Limitations include reliance on predefined code patterns and detection scripts, which validate structural readiness but may require manual review for complex feature logic.