arxdsilva/loops

v0.7.0MIT

Agent-driven Go backend workflow: research → plan (+review loop) → role-based parallel implementation → QA verification loop → product proof + PR → reflection into ai-memory. Every step is traced live (status line, pane) and in an HTML report.

GitHub Open Website

skills

quality

Use for the QA quality pass of a loops run, or whenever measuring changed code for CRAP (complexity x coverage), structural duplication or mutation-test survivors - runs crapper, dryer and mutator (or the pack's native mutation tool), maps each finding to its owning lane, and writes qa/quality.r<N>.md.

Read SKILL.md at the source

Pinned to revision 5f3d3c57aaea, so it is the text this page describes rather than whatever the author pushed since.

Files

skills/quality/SKILL.md

Every link opens the file at its source, pinned to the revision this page describes.