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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.

consistency

Use when implementing or reviewing code whose results must be repeatable and safe under retries and concurrency - injected clock and RNG, ordering and tie-breaks, idempotency keys, worker pipelines, schema migrations with versions and fixtures, atomic writes, untrusted persisted input.

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

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