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yonatangross
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fix-issue

Analyze GitHub issues, implement fixes, and generate pull requests.

217|20|Updated Dec 31, 2025
Search Tags:#automation#debugging#bug fix#root cause analysis#github issues#rca
One-click install
npx skills add https://github.com/yonatangross/orchestkit --skill fix-issue-yonatangross
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fix-issue
Source: https://github.com/yonatangross/orchestkit/tree/main/plugins/ork/skills/fix-issue
Command: npx skills add https://github.com/yonatangross/orchestkit --skill fix-issue-yonatangross

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the process of debugging and fixing GitHub issues by automating root cause analysis, suggesting fixes, and generating pull requests.

Core Features & Use Cases

  • Automated Root Cause Analysis (RCA): Employs multiple agents and techniques (5 Whys, Fishbone, Fault Tree) to pinpoint the exact cause of an issue.
  • Hypothesis-Driven Debugging: Forms and tests hypotheses systematically to narrow down potential causes.
  • Automated Fix Implementation & Validation: Designs, implements, and tests fixes, ensuring they resolve the issue without introducing regressions.
  • Prevention Recommendations: Suggests measures to prevent similar issues from recurring.
  • Use Case: When a bug report comes in for issue #123, this Skill can automatically analyze the problem, identify the faulty code, propose a fix, write a regression test, and even create a pull request for review.

Quick Start

Use the fix-issue skill to resolve GitHub issue number 123.

Frequently Asked Questions about fix-issue

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

FAQPage Schema
How do I automate GitHub issue resolution and bug fixing?▼

Automated GitHub issue resolution systematically performs root cause analysis, designs a fix, implements the code changes, and validates them to resolve bugs. It uses hypothesis-driven debugging and parallel agents to pinpoint the exact cause of the problem efficiently.

What is the best way to perform root cause analysis on GitHub issues?▼

Root cause analysis for GitHub issues is best performed using structured methodologies like 5 Whys, Fishbone, and Fault Tree analysis. These techniques systematically isolate the underlying cause of a bug by forming and testing hypotheses against the codebase.

Can I automatically generate regression tests when fixing GitHub bugs?▼

Automated bug fixing validates implementations by designing, writing, and testing fixes to ensure they resolve the issue without introducing regressions. It generates regression tests alongside the fix and can create a pull request for review.

Does automated debugging prevent similar bugs from recurring in the future?▼

Automated debugging prevents recurring issues by recommending specific prevention strategies after resolving the bug. Once the root cause is identified and fixed, the system suggests targeted measures to stop similar problems from happening again.

What RCA methodologies are used for automated software debugging?▼

Root cause analysis methodologies for automated software debugging include 5 Whys, Fishbone, and Fault Tree analysis. These frameworks help systematically trace symptoms back to their origin, allowing parallel agents to narrow down potential causes effectively.

How do I fix a GitHub issue from start to finish?▼

Fixing a GitHub issue end-to-end involves analyzing the problem with root cause analysis, identifying faulty code, proposing a fix, writing a regression test, and creating a pull request. This multi-phase process ensures the bug is resolved and validated.

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