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Python · By atopile
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | 1.Fabll How FabLL (faebryk.core.node) maps Python node/trait declarations into the TypeGraph + instance graph, including field/trait invariants and instantiation patterns. | atopile/ | 4k | — | ~1.1k | Automated safety check: Pass | MIT | 4 mo ago |
| 2 | 2.Faebryk How Faebryk's TypeGraph works (GraphView + Zig edges), how to traverse/resolve references, and how FabLL types/traits map onto edge types. | atopile/ | 4k | — | ~861 | Automated safety check: Pass | MIT | 4 mo ago |
| 3 | 3.Graph How the Zig-backed instance graph works (GraphView/NodeReference/EdgeReference), the real Python API surface, and the invariants around allocation, attributes, and cleanup. | atopile/ | 4k | — | ~952 | Automated safety check: Pass | MIT | 4 mo ago |
| 4 | 4.Pyzig How the Zig↔Python binding layer works (pyzig), including build-on-import, wrapper generation patterns, ownership rules, and where to add new exported APIs. | atopile/ | 4k | — | ~1k | Automated safety check: Pass | MIT | 4 mo ago |
| 5 | 5.Sexp How the Zig S-expression engine and typed KiCad models work, how they are exposed to Python (pyzigsexp), and the invariants around parsing, formatting, and freeing. | atopile/ | 4k | — | ~1k | Automated safety check: Pass | MIT | 4 mo ago |
