How many agents does the fix-issue skill use?

The skill utilizes a total of seven parallel agents: five for the analysis phase (Explore, Architect, Dev, and Reviewer) and two for the implementation and testing phase.

What happens after the fix is implemented?

The skill automatically runs validation tools such as Ruff, Pytest, and NPM test scripts before committing the changes and creating a GitHub pull request to the dev branch.

Can I use this for any GitHub issue?

Yes, simply use the command followed by the issue number (e.g., /fix-issue 123) to initiate the automated workflow for that specific issue.

Does this skill support both frontend and backend fixes?

Yes, it includes specialized agents for backend system architecture and frontend UI development, making it highly effective for full-stack repositories using frameworks like FastAPI and React.

GitHub Issue Resolver

Name: GitHub Issue Resolver
Author: yonatangross

byyonatangross

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Developer Tools

Automates the end-to-end resolution of GitHub issues using parallel AI agents for analysis, implementation, and testing.

About

The fix-issue skill streamlines bug fixing and feature implementation by orchestrating up to seven specialized AI agents to handle the entire GitHub lifecycle. It systematically analyzes root causes, designs backend and frontend solutions, implements code with proper type hints, and validates changes with automated tests before creating a pull request. This skill is ideal for developers looking to reduce the manual overhead of context switching and boilerplate git commands when tackling repository issues.

Key Features

Integrated backend and frontend fix design and implementation
Automated pull request creation with standardized commit messaging
Automated feature branch creation and GitHub issue context retrieval
Comprehensive validation including linting, type checking, and unit testing
Parallel multi-agent analysis for root cause and impact assessment
29 GitHub stars

Use Cases

Resolving complex bugs that span across frontend and backend systems
Rapidly implementing feature requests documented in GitHub issues
Standardizing the PR submission process within a development team

About

Key Features

Integrated backend and frontend fix design and implementation
Automated pull request creation with standardized commit messaging
Automated feature branch creation and GitHub issue context retrieval
Comprehensive validation including linting, type checking, and unit testing
Parallel multi-agent analysis for root cause and impact assessment
29 GitHub stars

Use Cases

Resolving complex bugs that span across frontend and backend systems
Rapidly implementing feature requests documented in GitHub issues
Standardizing the PR submission process within a development team