Instructions for electronics-specific logic and build processes: netlists, PCBs, build steps, and exporters. Use when implementing or modifying build steps, exporters, PCB generation, or BOM/netlist output.
cd ~/.claude/skills
git clone https://github.com/atopile/atopile.git atopile mkdir -p ~/.claude/skills/domain-layer
curl -fsSL https://raw.githubusercontent.com/atopile/atopile/HEAD/.claude/skills/domain-layer/SKILL.md \
-o ~/.claude/skills/domain-layer/SKILL.md The domain layer (primarily src/atopile/build_steps.py and src/faebryk/exporters/) encompasses the logic and processes specific to electronic hardware engineering. This includes the build pipeline that transforms a compiled graph into manufacturing artifacts (Gerbers, BOMs, Pick & Place).
Run the standard build pipeline from a project directory (where ato.yaml lives):
ato build
src/atopile/build_steps.py
Muster class (a DAG-based task runner).generate_bom, generate_manufacturing_data, update_pcb, etc.src/atopile/build.py (constructs app graph from .ato or .py, runs unit inference)src/faebryk/exporters/
layout_sync.py).jlcpcb.py, etc.).src/atopile/layout.py (generates .layouts.json module→layout mapping)src/atopile/kicad_plugin/README.md (plugin workflow overview)src/atopile/cli/build.py): The ato build command directly invokes build_steps.muster to execute the pipeline.generate_3d_render).generate_bom depends on build_design).update_pcb).atopile.config (not covered here, but relevant).src/faebryk/exporters/ and register a wrapper function in build_steps.py using @muster.register.test/end_to_end/ or test/integration/.ato build on a sample project and inspect the generated artifacts (Gerbers, BOM csv).ato dev test --llm test/test_muster.py -qvirtual=True for targets that just group other targets (e.g. all or default).update_pcb or layout_sync logic to avoid dataloss of user’s manual PCB routing.Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
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