Do I need any specific tools installed?

Yes, this skill requires the GitHub CLI (gh) and Task to be installed and configured on your local environment for dispatching subagents and fetching issue data.

Can I use this for multiple issues at once?

Absolutely. You can provide a space-delimited list of issue numbers or URLs, and the skill will plan and execute the resolution for all of them systematically.

How does the parallel execution work?

The skill identifies independent tasks within an issue and dispatches multiple Claude subagents to work on them concurrently, significantly reducing total resolution time.

When should I avoid using this skill?

This skill is designed for complex tasks; for simple, single-file fixes or when an issue needs further clarification, it is more efficient to handle it directly or comment first.

How does it ensure code quality?

It implements quality gates between task batches, performing automated reviews and requiring verification before moving to the finalization and merging steps.

GitHub Issue Solver

Name: GitHub Issue Solver
Author: athola

byathola

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123

Productivity & Workflow

Automates GitHub issue resolution using parallel subagents and systematic quality gates to streamline complex development tasks.

About

GitHub Issue Solver is an advanced workflow automation skill that enables Claude to tackle complex GitHub issues through subagent-driven development. It breaks down requirements into manageable tasks, dispatches multiple subagents to work in parallel when possible, and enforces strict quality gates with code reviews between execution batches. This skill is ideal for addressing large backlogs or multi-faceted feature requests that require high-quality, systematic implementation while maintaining clean context for every sub-task.

Key Features

Systematic requirement extraction from GitHub issues and URLs
Automatic dependency analysis and task prioritization
Parallel subagent execution for independent task completion
Integrated quality gates with mandatory code review phases
123 GitHub stars
Context-isolated subagents for focused, high-quality code generation

Use Cases

Implementing changes that require strict adherence to TDD and code review standards
Resolving complex feature requests that involve multiple files and logic layers
Addressing batches of related bugs simultaneously to clear technical debt

About

Key Features

Systematic requirement extraction from GitHub issues and URLs
Automatic dependency analysis and task prioritization
Parallel subagent execution for independent task completion
Integrated quality gates with mandatory code review phases
123 GitHub stars
Context-isolated subagents for focused, high-quality code generation

Use Cases

Implementing changes that require strict adherence to TDD and code review standards
Resolving complex feature requests that involve multiple files and logic layers
Addressing batches of related bugs simultaneously to clear technical debt