The Work Item Optimizer skill transforms verbose or poorly structured issues from systems like Jira, GitHub, and Azure DevOps into highly efficient, token-optimized formats tailored for AI-driven development. By applying specialized patterns such as glob-based file path compression, terse language rules, and logical task sequencing, it ensures that Claude has the precise context needed to implement features accurately. This skill acts as a bridge between project management and code implementation, enforcing quality standards for acceptance criteria and breaking down complex features into independent, committable tasks.
Key Features
01Acceptance criteria filtering to remove redundant overhead
020 GitHub stars
03Token-efficient output formatting for LLM context windows
04Logical task breakdown and sequencing for development
05Ticket completeness and readiness analysis
06Automated file path compression using glob patterns
