issue

Automated issue creation gathers repository context and conventions to draft well-structured GitHub issues ready to open. Provide a concise prompt describing the feature, bug, or improvement, and the skill returns a complete issue with title, description, acceptance criteria, and technical considerations.

A well-documented GitHub issue includes structured sections: title, description, user stories, acceptance criteria, technical considerations, testing plans, and traceable references to related issues and documentation that support decision-making.

Yes, research-driven issue creation applies to software projects requiring structured problem statements across diverse workflows—new features, bugs, improvements, and other documentation needs with consistent formatting and traceability.

The skill collects repository conventions, best practices, and existing context to inform issue drafting, ensuring new issues align with project patterns and include relevant references to prior work and documentation.

Provide a concise prompt describing your idea—for example, 'Add caching to the data loader'—and the skill researches context and automatically produces a ready-to-create GitHub issue with all required sections completed.

Yes, the skill works best with existing repository context, conventions, and related issues. It researches and references these to produce structured, well-informed issues aligned with your project's practices and decisions.