Which programming languages are supported?

This skill currently supports Shell (Bash) and Python scripts, identifying patterns specific to each language's error handling conventions.

Can I review the changes before the skill modifies my code?

Yes, the skill is designed to catalog findings and generate a conversion plan for user approval before executing any file modifications.

How does this improve debugging?

By standardizing errors, it ensures that every failure provides consistent context and a specific exit status, allowing automated tools to parse and react to errors accurately.

Does it handle exit codes automatically?

Yes, it maps raw errors to a predefined set of exit code constants (like E_NOT_FOUND or E_VALIDATION) defined in your project's reference files.

What is the 'emit_error' pattern?

It is a structured logging pattern that ensures error messages, exit codes, and additional metadata are output in a machine-parseable format for better monitoring.

Error Handling Standardizer

Name: Error Handling Standardizer
Author: ribatshepo

byribatshepo

0•

분석 및 모니터링

Standardizes inconsistent error handling in shell and Python scripts by converting them to structured, machine-parseable patterns.

The Error Standardizer skill is designed to bring consistency to multi-language codebases by identifying non-standard error reporting—such as direct echoes, raw exit codes, or bare Python exceptions—and refactoring them into a unified, machine-readable format. By leveraging the emit_error() pattern, it ensures that logs are structured and exit codes are mapped to a centralized library of constants, making it easier to debug, monitor, and orchestrate complex workflows across both Bash and Python environments.

주요 기능

01Refactors code to use structured, context-rich logging via the emit_error pattern

020 GitHub stars

03Automated detection of non-standard error patterns like raw echoes and hardcoded exits

04Generates comprehensive conversion plans with user approval steps to ensure safety

05Cross-language support for Bash shell scripts and Python application code

06Intelligent mapping of error types to a centralized library of exit code constants

사용 사례

01Converting broad Python exceptions into detailed, context-aware error signals

02Modernizing legacy shell scripts to provide structured logs for CI/CD pipelines

03Enforcing error handling consistency across a mixed-language DevOps repository

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ribatshepo/auto-orchestrate error-standardizer

For use in Claude.ai and ChatGPT

주요 기능

01Refactors code to use structured, context-rich logging via the emit_error pattern

020 GitHub stars

03Automated detection of non-standard error patterns like raw echoes and hardcoded exits

04Generates comprehensive conversion plans with user approval steps to ensure safety

05Cross-language support for Bash shell scripts and Python application code

06Intelligent mapping of error types to a centralized library of exit code constants

사용 사례

01Converting broad Python exceptions into detailed, context-aware error signals

02Modernizing legacy shell scripts to provide structured logs for CI/CD pipelines

03Enforcing error handling consistency across a mixed-language DevOps repository

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ribatshepo/auto-orchestrate error-standardizer

For use in Claude.ai and ChatGPT