How does the placeholder detection script work?

The workflow includes Python-based scripts that scan your source directory for 64 distinct patterns ranging from empty function bodies to hardcoded secrets, categorizing them by severity.

What programming languages does this workflow support?

It supports 10 major languages across different paradigms, including Java, Scala, Kotlin, C#, Python, JavaScript, TypeScript, Go, Rust, and C++.

Does it provide solutions for the issues it finds?

Yes, it provides language-specific implementation patterns and a 'Plan Generator' to help you replace placeholders with production-ready logic immediately.

Can this skill be integrated into a CI/CD pipeline?

Yes, the detection scripts can output results in JSON format, making it easy to integrate into automated testing and deployment pipelines for severity threshold checks.

What is considered a 'Blocker' issue by this skill?

Blocker issues include critical security vulnerabilities like hardcoded secrets and high-risk flaws like SQL injection patterns.

Production-Ready Code Workflow

Name: Production-Ready Code Workflow
Author: ribatshepo

byribatshepo

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開発者ツール

Enforces production-grade coding standards by detecting placeholders and implementing complete, multi-language logic without stubs.

The Production Code Workflow skill ensures that AI-generated code meets rigorous professional standards by eliminating lazy coding habits such as 'TODO' comments, 'FIXME' tags, and empty function bodies. It utilizes a suite of 64 detection patterns across 10 programming languages to identify anti-patterns, hardcoded secrets, and unfinished logic. By providing language-specific implementation patterns and automated review checklists, this skill helps developers transition from rapid prototyping to production-grade deployment with confidence, ensuring every line of code is functional, secure, and ready for the real world.

主な機能

01Language-specific review checklists to ensure production-grade quality

02Automated placeholder detection across 64 patterns and 10 programming languages

030 GitHub stars

04Comprehensive implementation patterns for JVM, .NET, Go, Rust, Python, and JS/TS

05Automated scan reports with severity-based issue categorization and recommendations

06Zero-placeholder enforcement for 'TODO', 'FIXME', and 'NotImplemented' removal

ユースケース

01Auditing existing codebases for technical debt and unfinished implementations

02Standardizing professional coding practices across multi-language engineering teams

03Ensuring AI-generated pull requests are fully implemented without stubs or mocks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ribatshepo/auto-orchestrate production-code-workflow

For use in Claude.ai and ChatGPT

主な機能

01Language-specific review checklists to ensure production-grade quality

02Automated placeholder detection across 64 patterns and 10 programming languages

030 GitHub stars

04Comprehensive implementation patterns for JVM, .NET, Go, Rust, Python, and JS/TS

05Automated scan reports with severity-based issue categorization and recommendations

06Zero-placeholder enforcement for 'TODO', 'FIXME', and 'NotImplemented' removal

ユースケース

01Auditing existing codebases for technical debt and unfinished implementations

02Standardizing professional coding practices across multi-language engineering teams

03Ensuring AI-generated pull requests are fully implemented without stubs or mocks