fix-issue

Fix Python code issues with minimal, readable changes.

Updated Feb 14, 2026
One-click install
npx skills add https://github.com/Suniljit/personal-toolkit --skill fix-issue-suniljit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fix-issue
Source: https://github.com/Suniljit/personal-toolkit/tree/main/.opencode/skills/fix-issue
Command: npx skills add https://github.com/Suniljit/personal-toolkit --skill fix-issue-suniljit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Fix Python code issues without increasing complexity. The fix should be easy to understand and as small as possible.

Core Features & Use Cases

  • Minimal-change fixes that preserve original behavior and style.
  • Guided root-cause analysis with user confirmation before applying any change.
  • Works across common Python errors and logical bugs in scripts.

Quick Start

Provide the faulty Python code and error context, and ask for a minimal fix that keeps complexity unchanged.

Frequently Asked Questions about fix-issue

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

FAQPage Schema
How do I fix Python code errors without adding unnecessary complexity?

To fix Python code errors without adding complexity, provide the faulty script and error context to apply minimal, readable changes. This approach preserves original behavior and style while ensuring the fix remains as small and easy to understand as possible.

What is the best way to debug logical bugs in Python scripts non-destructively?

The best way to debug logical bugs non-destructively is through guided root-cause analysis that requires user confirmation before applying any change. This ensures original code style and behavior are preserved while addressing the specific error.

Does fixing Python bugs this way require installing new dependencies?

Fixing Python bugs this way does not require installing new dependencies. The process strictly avoids introducing new packages or libraries, ensuring the solution remains lightweight and compatible with your existing environment.

How do I perform root-cause analysis on a Python error before changing code?

You perform root-cause analysis on a Python error by providing the faulty code and error context for evaluation. The system identifies the underlying issue and requires your explicit confirmation before any fix is applied to the script.

Can I use this approach to fix Python errors without changing the original script's style?

Yes, you can fix Python errors without changing the original script's style. The process enforces minimal-change fixes that explicitly preserve the original behavior and formatting of your code while resolving the bug.