Collects structured user feedback via a short guided interview and submits it as a GitHub Issue in the target repo. The flow captures category, problem, impact, and optional suggested solution, formats a preview for confirmation, and opens an issue with appropriate labels so maintainers can triage and act.
When a user wants to report a bug, propose a new skill or enhancement, or provide general product feedback. Useful inside chat agents that surface product issues or where users need an easy one-step path to create tracked issues.
Best with agents that can call shell/GH CLI (Copilot/Code-style or CLI-capable agents). The skill is repo-agnostic but expects GH CLI availability for submission.
A well-structured feedback collection skill that guides users through a 6-step interview flow (category, problem, impact, solution, review, submit) and creates a GitHub Issue on the VGrss/Acumen repo. Clean SKILL.md with clear steps and tone guidance. No bundled scripts — relies on gh CLI. Niche usefulness as it's tied to a specific project's feedback workflow.
String interpolation in gh issue create command body could theoretically be a shell injection vector if user input contains special characters, but minimal risk in agent context. Skill is clean and well-written but very project-specific.