Converts project plans and requirements into structured GitHub issue drafts using AI-driven technical analysis.
The GitHub Issue Drafter skill streamlines the transition from planning to execution by automatically generating comprehensive GitHub issues from text descriptions or plan files. It intelligently parses requirements into logical tasks, identifies repository context, and leverages an analyst subagent to enrich complex issues with technical breadcrumbs like integration points and potential pitfalls. By saving drafts in a standardized YAML format, users can easily refine or bulk-publish their project roadmap, ensuring clarity and technical depth across the entire development team.
Key Features
01Intelligent technical enrichment using an analyst subagent for complex systems
02Automated requirement parsing from local files or verbal descriptions
03Standardized YAML output for version-controlled issue management
040 GitHub stars
05Refinement mode for improving titles, acceptance criteria, and technical context
06Automatic repository detection via git remote integration
Use Cases
01Quickly outlining a feature roadmap during a brainstorming or planning session
02Converting a technical design document into a structured set of GitHub issues
03Adding technical depth and acceptance criteria to high-level issue drafts
