Score and rank open GitHub issues using the RICE framework.
npx skills add https://github.com/tomzx/agents --skill prioritize-issues-tomzx
Please help me install this Agent Skill. Skill: prioritize-issues Source: https://github.com/tomzx/agents/tree/main/skills/prioritize-issues Command: npx skills add https://github.com/tomzx/agents --skill prioritize-issues-tomzx
This skill scores and ranks your GitHub backlog using the RICE framework to help triage issues and focus work on the most valuable items.
Run the prioritize-issues skill against your repository to score and rank open issues.
High-intent search queries and answers about installing and using this skill.
The skill scores open GitHub issues using the RICE framework by evaluating reach, impact, confidence, and effort. It reads issue titles, descriptions, labels, and milestones to output a ranked backlog for triage.
Triageing a large GitHub backlog is best handled by applying RICE scoring to align work with product goals. The skill evaluates issue metadata to compute scores, helping you quickly select top-priority items for sprint planning.
Yes, you need the gh CLI installed to read repository issues. You also need a repository identifier in owner/repo format and read access to the project context to successfully calculate RICE scores and rank the backlog.
Yes, RICE scoring for GitHub issues directly guides sprint planning by computing priority based on reach, impact, confidence, and effort. It helps you focus your upcoming sprints on the most valuable items in your backlog.
Yes, the RICE triage approach treats GitHub issue milestones and labels, alongside titles and descriptions, as input context. These metadata elements are evaluated to determine the final priority score for each open issue.
theZMCRead GitHub issue status, metadata, and comments via gh CLI.
jandragsbaekGenerate prioritized product ideas with impact, reach, effort, and risk ratings.
KatsumitecCreate GitHub Issues from a Dev Plan with labels and milestones.
I2olanDRank product initiatives using RICE, Kano, MoSCoW, and Weighted Scoring frameworks.
