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Agent skill

Faebryk

by atopile in atopile/atopile

How Faebryk's TypeGraph works (GraphView + Zig edges), how to traverse/resolve references, and how FabLL types/traits map onto edge types.

MITAuto-check passed

Install Faebryk

skills CLI
$ npx skills add atopile/atopile --skill faebryk -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install atopile/atopile faebryk --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/atopile/atopile.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/faebryk .claude/skills/faebryk && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
faebryk
GitHub stars
4k
Token cost
~861 tokens
SKILL.md length
277 words
Files
1
Skills in repo
19
Repo updated
First seen
Licence
MIT

At a glance

How Faebryk's TypeGraph works (GraphView + Zig edges), how to traverse/resolve references, and how FabLL types/traits map onto edge types.

  • Works in 3 steps: Zig-side changes: edit… → Rebuild bindings: ato dev compile… → Python ergonomics: add wrappers/helpers…
  • Working with TypeGraph traversal
  • SKILL.md covers Quick Start, Relevant Files, Dependants (Call Sites) and How to Work With / Develop /…, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Faebryk is an agent skill from atopile/atopile. How Faebryk's TypeGraph works (GraphView + Zig edges), how to traverse/resolve references, and how FabLL types/traits map onto edge types. Use when working with TypeGraph traversal, edge types, or building type-aware queries.

Its SKILL.md is about 860 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with Python. The repository describes itself as: Design circuit boards with code! ✨ Get software-like design reuse 🚀, validation, version control and collaboration in hardware; starting with electronics ⚡️. The licence is MIT.

When your agent uses it

  • Working with TypeGraph traversal
  • Building type-aware queries

Example prompts

  • “/faebryk”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Zig-side changes: edit src/faebryk/core/zig/src/faebryk/* (edges, typegraph internals).
  2. Rebuild bindings: ato dev compile (imports faebryk.core.zig).
  3. Python ergonomics: add wrappers/helpers in src/faebryk/core/faebrykpy.py (example: type-safe EdgeTrait.traverse).

What it can do on your machine

Read from SKILL.md and the folder at commit 619eda7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Faebryk loads about 861 tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 277 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~58
When it runs · the whole SKILL.md, loaded when a task matches
~861

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from atopile/atopile at commit 619eda7, republished under its MIT licence (© atopile). 277 words, ~861 tokens.

Download SKILL.mdSave it as .claude/skills/faebryk/SKILL.md (or your agent's skills folder).
name
faebryk
description
How Faebryk's TypeGraph works (GraphView + Zig edges), how to traverse/resolve references, and how FabLL types/traits map onto edge types. Use when working with TypeGraph traversal, edge types, or building type-aware queries.

Faebryk Core Module

The Faebryk core here is the TypeGraph + edge types implemented in Zig and exposed to Python via faebryk.core.faebrykpy.

Source-of-truth for API + behavior:

  • src/faebryk/core/faebrykpy.py (Python-facing wrapper + type-safe EdgeTrait.traverse)
  • src/faebryk/core/zig/gen/faebryk/typegraph.pyi (public stubbed API surface)
  • src/faebryk/core/zig/src/faebryk/* (Zig implementation)

Quick Start

python
import faebryk.core.faebrykpy as fbrk
import faebryk.core.graph as graph

g = graph.GraphView.create()
tg = fbrk.TypeGraph.create(g=g)

Relevant Files

  • src/faebryk/core/faebrykpy.py (re-exports + EdgeTraversal + type-safe EdgeTrait.traverse)
  • src/faebryk/core/zig/gen/faebryk/typegraph.pyi (TypeGraph stub)
  • Key edge types (imported by faebrykpy.py):
    • EdgeComposition (parent/child structure)
    • EdgeTrait / Trait (trait attachment)
    • EdgePointer (references)
    • EdgeInterfaceConnection (interface connections)
    • EdgeOperand (solver operand wiring)
    • EdgeType / EdgeNext (type graph plumbing)
  • Linker:
    • Linker (used by compiler/linking stages)

Dependants (Call Sites)

  • FabLL: src/faebryk/core/node.py (binds Python classes into the TypeGraph; uses composition/trait edges)
  • Compiler: src/atopile/compiler/* (creates and links TypeGraphs)
  • Solver: src/faebryk/core/solver/* (operand edges and instance traversal)
  • Build/export pipeline: src/atopile/build_steps.py (visits type/instance edges for PCB/layout features)

How to Work With / Develop / Test

Core Concepts
  • GraphView + TypeGraph: a TypeGraph is created against a GraphView:
    python
    import faebryk.core.graph as graph
import faebryk.core.faebrykpy as fbrk

g = graph.GraphView.create()
tg = fbrk.TypeGraph.create(g=g)
  • Type nodes vs instance nodes:
    • TypeGraph stores type definitions (“what exists structurally on a type”)
    • GraphView also holds instances created from those types (“a concrete design graph”)
  • EdgeTraversal: TypeGraph.ensure_child_reference(..., path=[...]) uses EdgeTraversal items to walk references through the type graph.
Development Workflow
  1. Zig-side changes: edit src/faebryk/core/zig/src/faebryk/* (edges, typegraph internals).
  2. Rebuild bindings: ato dev compile (imports faebryk.core.zig).
  3. Python ergonomics: add wrappers/helpers in src/faebryk/core/faebrykpy.py (example: type-safe EdgeTrait.traverse).
Testing
  • TypeGraph-heavy tests live in compiler/runtime suites:
    • ato dev test --llm test/compiler/test_typegraph.py -q
    • ato dev test --llm test/compiler/test_runtime.py -q
  • Zig-backed traversal tests:
    • ato dev test --llm test/core/zig/test_interface_pathfinder.py -q

Best Practices

  • Import edges/TypeGraph via faebryk.core.faebrykpy (so callers get Python helpers, not just raw generated types).
  • Prefer type-safe trait traversal:
    • EdgeTrait.traverse(trait_type=SomeTrait) over stringly-typed trait_type_name=....
  • When building reference paths, be explicit about edge semantics (composition vs pointer vs trait) rather than relying on implicit string behavior.

© atopile, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/faebryk of atopile/atopile.

Open the folder on GitHubat commit 619eda7

Compare with similar skills

Faebryk next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Faebryk compared with similar skills
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PDF Processinganthropics/skills180k48 repos~2kAutomated safety check: PassProprietary
NotebookLM Research AssistantPleasePrompto/notebooklm-skill7.8k14 repos~2.4kAutomated safety check: NotesMIT
Manim Video Productionbrowser-use/video-use28k6 repos~3kAutomated safety check: PassMIT
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT

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  • Fabll

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    How FabLL (faebryk.core.node) maps Python node/trait declarations into the TypeGraph + instance graph, including field/trait invariants and instantiation patterns.

    4k GitHub stars~1.1k tokensUpdated 3 mo ago
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  • Graph

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    How the Zig-backed instance graph works (GraphView/NodeReference/EdgeReference), the real Python API surface, and the invariants around allocation, attributes, and cleanup.

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  • Library

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    4k GitHub stars~714 tokensUpdated 3 mo ago
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Works with

Questions about Faebryk

What does Faebryk do?

How Faebryk's TypeGraph works (GraphView + Zig edges), how to traverse/resolve references, and how FabLL types/traits map onto edge types. Faebryk is an agent skill from atopile/atopile. How Faebryk's TypeGraph works (GraphView + Zig edges), how to traverse/resolve references, and how FabLL types/traits map onto edge types.

When should I use Faebryk?

Faebryk fits situations like: working with TypeGraph traversal; building type-aware queries.

How do I install Faebryk in Claude Code?

Run `npx skills add atopile/atopile --skill faebryk -a claude-code`. Or copy the skill folder (.claude/skills/faebryk in atopile/atopile) into .claude/skills/faebryk in your project. Claude Code loads it when a task matches its description.

How do I install Faebryk in Codex?

Run `npx skills add atopile/atopile --skill faebryk -a codex`. Or copy the skill folder (.claude/skills/faebryk in atopile/atopile) into .agents/skills/faebryk in your project. Codex loads it when a task matches its description.

Can I use Faebryk in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add atopile/atopile --skill faebryk -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/faebryk, .gemini/skills/faebryk, .github/skills/faebryk and .opencode/skills/faebryk in your project.

What does Faebryk need to run?

SKILL.md names no scripts, command-line tools or credentials: Faebryk is instructions for the agent only. Our summary lists: Python 3.

Does Faebryk access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Faebryk safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Faebryk use?

Faebryk is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Faebryk use?

About 861 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Faebryk?

Skills that share tags, products or a category with Faebryk: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Faebryk?

atopile (a GitHub organization) maintains it in atopile/atopile, which has 3,976 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on June 13, 2026.

Source: atopile/atopile on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.