Analyze exported feedback JSON and prepare actionable GitHub issues via gh CLI.
npx skills add https://github.com/zeveck/zskills --skill review-feedback-zeveck
Please help me install this Agent Skill. Skill: review-feedback Source: https://github.com/zeveck/zskills/tree/main/skills/review-feedback Command: npx skills add https://github.com/zeveck/zskills --skill review-feedback-zeveck
Reads exported user feedback and converts pending entries into actionable GitHub issues, reducing manual triage time and error-prone work.
Import feedback.json and triage entries to file approved issues on GitHub using gh CLI.
High-intent search queries and answers about installing and using this skill.
To automate triaging user feedback into GitHub issues, import an exported feedback JSON file. The system evaluates pending entries for actionability, detects duplicates against existing issues, proposes labels, and prepares a summary for approval before filing via gh CLI.
Duplicate detection works by searching existing GitHub issues for matching context before filing. This prevents redundant issue creation by checking pending feedback entries against current repository issues and presenting a consolidated summary for your review.
Yes, you need the gh CLI installed and authenticated to file GitHub issues from exported feedback. The tool relies on gh CLI for issue creation while preserving traceability and ensuring safe handling of sensitive data during the approval workflow.
Yes, you can automatically assign labels like bug, enhancement, and ui when creating GitHub issues from feedback. The system proposes appropriate labels for each pending entry and includes them in the summary for your approval before filing.
The best way to securely handle sensitive data when exporting user feedback to GitHub is to process entries through an approval workflow. This ensures safe handling by presenting a summary for your review before any issue is created via gh CLI.
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