Model and traverse TypeGraph structures with Python-Zig bindings.
npx skills add https://github.com/atopile/atopile --skill faebryk
Please help me install this Agent Skill. Skill: Faebryk Source: https://github.com/atopile/atopile/tree/main/.claude/skills/faebryk Command: npx skills add https://github.com/atopile/atopile --skill faebryk
Faebryk provides a Python and Zig integration to model and traverse TypeGraph structures, exposing edge types and traversal semantics for FabLL-based tooling.
High-intent search queries and answers about installing and using this skill.
To model a TypeGraph in Python, initialize a GraphView using `graph.GraphView.create()` and pass it to `fbrk.TypeGraph.create(g=g)` to expose edge types and traversal semantics for FabLL-based tooling.
Edge traversal in a TypeGraph defines how relationships between typed nodes are navigated, used by Faebryk's compilers and solver integrations to evaluate graph traits and structural dependencies.
Yes, Faebryk exposes a Python-facing API via `faebryk.core.faebrykpy` backed by Zig implementations under `src/faebryk/core/zig`, enabling high-performance type-graph operations and edge trait binding.
You integrate the TypeGraph with solver and compiler tooling by utilizing the Python and Zig bindings to interact with the GraphView ecosystem, enabling type-graph operations and trait binding for compilation.
Faebryk's graph edge traversal is specifically designed for the FabLL ecosystem and Faebryk's tooling, limiting its direct applicability to general-purpose graph tasks outside its TypeGraph and GraphView architecture.
atopileCreate and manipulate Zig-backed graphs through Python bindings and GraphView.create().
mawildoerMap Python node and trait declarations into TypeGraph and instance graphs.
atopileMap Python node and trait declarations to a live TypeGraph and instance graph.
ricableCreate and query RuVector graph databases with Cypher from Node.js.
