app
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.
Discover
How an AI finds this repo: the auto-discovery snippet from page.json, self-tested against the live discovery search.
Snippet
discovery_triggers
reverse engineer this boardreverse engineer a pcb from photosclone this boardcopy this pcb into kicadrecreate the board from picturesidentify the parts on this pcbhow many layers is this boardinfer the inner layerspcb teardownboard photos to kicadadom-aiflow-reverse
discovery_pitch
Reach for this when someone has photos of a board and wants it identified, copied into KiCad, or wants to know how many layers it has and what is inside.
tags
reverse engineeringpcbkicadteardownphotoslayer countai flow
sample_prompts
Reverse engineer from photos
Reverse engineer the board in Driver1.JPG to Driver4.jpg into KiCad and tell me how confident you areLayer count
From these two photos, how many layers does this board have and what are the inner layers?Test list
List the bench tests that would confirm everything you inferred about this boardSample prompts: self-test
Your own triggers, combined
#1 of 1705
How this repo ranks when its full trigger set is the query.
Each sample prompt run against the live discovery search. The score is your rank, does the prompt return this repo at the top?
"Reverse engineer the board in Driver1.JPG to Driver4.jpg into KiCad and tell me how confident you are"Reverse engineer from photos
#1 of 1389
"From these two photos, how many layers does this board have and what are the inner layers?"Layer count
#1 of 1062
"List the bench tests that would confirm everything you inferred about this board"Test list
#4 of 165