format-error

Convert Python tracebacks into structured error reports.

Updated Jun 3, 2026
One-click install
npx skills add https://github.com/SunshinePeace213/soriza-startup-layer --skill format-error
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: format-error
Source: https://github.com/SunshinePeace213/soriza-startup-layer/tree/main/.claude/skills/prompt-architect/assets/examples/skill-example-format-error
Command: npx skills add https://github.com/SunshinePeace213/soriza-startup-layer --skill format-error

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of deciphering complex Python tracebacks by transforming them into structured, actionable error reports.

Core Features & Use Cases

  • Traceback Formatting: Converts Python tracebacks into readable, structured reports.
  • Error Analysis: Identifies the failing call, immediate cause, and suggests a fix direction.
  • Use Case: When a user encounters a Python error and needs help understanding the traceback, this Skill provides a clear, concise breakdown of the issue.

Quick Start

Use the format-error skill to analyze the traceback 'example_traceback.txt' and generate an error report.

Frequently Asked Questions about format-error

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

FAQPage Schema
How do I format a Python traceback into a readable error report?

To format a Python traceback, parse the raw exception text and convert it into a structured report. This process identifies the failing call and immediate cause to make diagnosis easier during debugging sessions.

What is the best way to analyze a Python traceback for debugging?

The best way to analyze a Python traceback is to summarize the exception information into a structured breakdown. This approach isolates the failing call, identifies the immediate cause, and suggests a direction for applying a fix.

Can I automatically identify the failing call from a Python exception traceback?

Yes, you can automatically identify the failing call from a Python exception traceback by parsing and summarizing the exception information. This extracts the immediate cause directly from the traceback text for easier diagnosis.

Does this traceback formatting approach work with standard Python error logs?

Yes, this traceback formatting approach works with standard Python error logs. It is designed for debugging sessions where users need to interpret traceback information captured in files like text logs for diagnosis.

What limitations exist when converting Python tracebacks into structured reports?

A limitation when converting Python tracebacks into structured reports is that the tool requires parsing standard exception information. It may not effectively summarize tracebacks that are incomplete, heavily truncated, or modified by non-standard logging wrappers.