What problem does it solve? Raw feedback from UAT sessions, bug reports, QA findings, and stakeholder reviews often arrives as unstructured batches of items. Without investigation, teams create vague or duplicate issues that lack reproduction steps, severity, and priority, slowing down resolution. ## Core Features & Use Cases - Investigate-First Protocol: Every feedback item is analyzed (error codes, reproduction steps, code review, impact assessment) before any issue is created. - Classification & Prioritization: Items are typed as Bug, Feature, Research, Spike, or Chore and assigned Critical/High/Medium/Low priority based on severity and business impact. - GitHub Issue & Project Board Integration: Creates well-formed issues via gh issue create with structured templates, then adds each to the GitHub project board with Status, Type, and Priority fields set. - Use Case: After a UAT round, you receive a message listing five bugs and two feature requests. This Skill parses each item, investigates the failing endpoints in code, creates seven labeled GitHub issues, adds them to the project board, and delivers a prioritized summary report. ## Quick Start Triage this UAT feedback into investigated, prioritized GitHub issues and add each one to the project board.