neuralmind

Audit a GitHub repository's open issues for hygiene — stale issues, likely duplicates, missing/incorrect labels, and issues that are actually already fixed on main. Use when asked to triage the backlog, clean up issues, find duplicates, or report on issue health. Produces a ranked, actionable report; it never closes or edits issues on its own.

Answer questions about a code repository in ~800 tokens instead of loading 50,000+ tokens of raw source. Use whenever the user asks how something works, where something is defined, who calls what, or to explore an unfamiliar file. Provides progressive context disclosure (L0 identity → L1 architecture → L2 relevant clusters → L3 semantic search) and a learned synapse graph for usage-based recall.