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atr-analyze

Execute shell commands with AI-driven failure analysis and environment detection.

12|3|Updated Jan 5, 2026
Search Tags:#testing#linting#debugging#ai analysis#builds#command execution
One-click install
npx skills add https://github.com/imyousuf/agentic-test-runner --skill atr-analyze
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: atr-analyze
Source: https://github.com/imyousuf/agentic-test-runner/tree/main/skills/atr-analyze
Command: npx skills add https://github.com/imyousuf/agentic-test-runner --skill atr-analyze

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the execution of development commands like tests, linters, and builds by providing AI-powered analysis of failures and summarizing verbose output, thereby reducing noise and improving debugging efficiency.

Core Features & Use Cases

  • AI Failure Analysis: Automatically analyzes command failures, identifies root causes, and suggests actionable recommendations.
  • Summarized Output: Presents results in a clean, concise format, preserving conversation context.
  • Environment Management: Automatically detects and activates Python virtual environments and Node.js versions.
  • Use Case: When a test suite fails, instead of sifting through hundreds of lines of output, this Skill provides a focused summary of the failure and specific steps to fix it.

Quick Start

Use the atr-analyze skill to run the command 'go test ./...' and get an AI-powered analysis of any failures.

Frequently Asked Questions about atr-analyze

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

FAQPage Schema
How do I get AI analysis for test suite failures instead of reading verbose output?▼

AI analysis for test failures is generated by executing shell commands and automatically summarizing the output to pinpoint root causes and provide actionable debugging recommendations.

Can I run linters and builds with automated environment detection for Python and Node.js?▼

Yes, running linters and builds supports automated environment detection that automatically activates Python virtual environments and manages Node.js versions before command execution.

What is the best way to debug command execution failures using AI?▼

The best way to debug command failures is using AI-driven analysis that reduces verbose output noise, identifies the specific root cause, and suggests targeted steps to fix the issue.

Does this AI analysis tool work with arbitrary shell commands?▼

Yes, the AI analysis tool executes arbitrary shell commands, providing summarized insights and failure analysis for any development task like tests, linters, or builds.

How do I execute a Go test command and get summarized insights on failures?▼

To execute a Go test command and get summarized insights, run the desired command through the Skill to receive a focused analysis of any failures instead of raw terminal output.

Why should I use AI-powered analysis for debugging instead of manually checking build output?▼

AI-powered analysis for debugging reduces noise from verbose build output, preserves conversation context, and directly pinpoints root causes to improve debugging efficiency over manual checking.

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