What problem does it solve? Open-source issue trackers spiral out of control when incoming reports exceed maintainer capacity and no written policy governs labels, intake, response targets, or closing rules. This Skill turns that chaos into an explicit, capacity-sized triage system a maintainer team can actually sustain. ## Core Features & Use Cases - Capacity-first design: Measures the queue with a baseline script, computes triage capacity against inflow, and derives a publishable first-response target from real numbers rather than ambition. - Full triage system design: Produces a label taxonomy on orthogonal axes, validated intake forms with off-tracker routing, a separate security-report path, a duty rotation with escalation rules, a pull-request gate order, and a closing/staleness policy. - AI-slop and volume gating: Defines a written volume-gating trigger and intake-economics levers for projects drowning in machine-generated reports, without relying on unreliable AI-detection classifiers. - Use Case: A two-person maintainer team with 900 open issues and 35 new issues per week uses this Skill to measure the backlog, consolidate 47 messy labels into a small axis-based set, route usage questions off the tracker, and publish a realistic response policy. ## Quick Start Ask the assistant to design an issue triage process for your repository, starting by measuring the current queue and maintainer capacity.