AI Flow: Reverse Engineering
Public Made by Adomby adom
Photos of a PCB to a tagged KiCad copy: parts placed, copper and nets with their evidence, a schematic, a measured confidence score, bench tests and a video of the run.
Skills
The skills this repo ships, by tier, each with a quick health read. Install the user skills with:
adom-wiki skills install adom/ai-flow-reverse-engineeringdev-skills/ or publish-skills/, so a contributor (or their AI) has no in-repo guide to build, debug, or publish it. Consider adding them; they stay source-only and never ship in the tarball.Reverse engineer a PCB from photos into a KiCad copy: identify parts and functional blocks, trace every pour, track and via from the pictures, list the hidden connections with their evidence, state the layer count from what is known, review in a measured loop until the photo score reaches 90, and list tests and bench probes for what is unknown. Use when asked to reverse engineer this board, clone a PCB from pictures, copy a board into KiCad, identify the parts on a PCB, work out how many layers a board has, or infer its inner layers.
No dev skills in this repo.
How to build, debug, and test this app. Source-only (dev-skills/), never shipped in the tarball.
No publish skills in this repo.
The app-to-wiki publish glue. Source-only (publish-skills/), never shipped in the tarball.
Health: the size chip is green when right-sized, yellow when getting long, red when the model likely skims it. A green check is a passed preamble/structure signal; an amber mark is a gentle nudge, not a hard failure.