Does this skill add too much noise to my logs?

No, it follows a 'Don't Over-Log' philosophy, focusing on high-leverage points like API calls and state changes while specifically avoiding logging within loops or capturing sensitive data.

Which programming languages does this skill support?

This skill provides standardized implementation patterns for Python, TypeScript/JavaScript, and Go, though its principles are applicable to any programming language.

How does this improve agent autonomy?

When an agent can see a specific error message in the console, it can use that information to search for the cause and apply a fix without a human having to explain what went wrong.

Why is standard out important for Claude Code?

Standard out provides the visual feedback Claude needs to understand if a command succeeded or failed. Without it, agents are effectively 'blind' and cannot debug their own errors or verify state changes.

Standard Out Setup

Name: Standard Out Setup
Author: melodic-software

bymelodic-software

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Analytics & Monitoring

Implements critical console logging and error visibility to ensure AI agents can observe application state and self-correct.

About

Standard Out Setup is an essential utility for agentic coding that solves the 'blind agent' problem by making internal application state visible via stdout. By wrapping silent functions in descriptive logging and replacing bare try/except blocks with context-rich error reporting, this skill enables Claude to understand why a process failed and how to fix it autonomously. It provides standardized patterns for Python, TypeScript, and Go, focusing on high-leverage areas like API endpoints, file operations, and external service calls to maximize agent performance and reduce the need for human intervention.

Key Features

Identifies and fixes silent functions that return without logging
1 GitHub stars
Adds context-rich success and error logging to critical functions
Implements standardized patterns for API observability
Converts bare try/except blocks into actionable error logs
Maintains log cleanliness by avoiding sensitive data and over-logging

Use Cases

Preparing a legacy or new codebase for autonomous agent-led development
Debugging agentic workflows where Claude fails silently without feedback
Ensuring API endpoints provide enough context for agents to debug failures

About

Key Features

Identifies and fixes silent functions that return without logging
1 GitHub stars
Adds context-rich success and error logging to critical functions
Implements standardized patterns for API observability
Converts bare try/except blocks into actionable error logs
Maintains log cleanliness by avoiding sensitive data and over-logging

Use Cases

Preparing a legacy or new codebase for autonomous agent-led development
Debugging agentic workflows where Claude fails silently without feedback
Ensuring API endpoints provide enough context for agents to debug failures