library
How the Faebryk component library is structured, how `_F.py` is generated, and the conventions/invariants for adding new library modules. Use when adding or modifying library components, traits, or module definitions.
Best use case
library is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
How the Faebryk component library is structured, how `_F.py` is generated, and the conventions/invariants for adding new library modules. Use when adding or modifying library components, traits, or module definitions.
Teams using library should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/library/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How library Compares
| Feature / Agent | library | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
How the Faebryk component library is structured, how `_F.py` is generated, and the conventions/invariants for adding new library modules. Use when adding or modifying library components, traits, or module definitions.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Library Module The `library` module (located in `src/faebryk/library/`) contains the collection of reusable components, traits, and interfaces that form the "standard library" of the hardware design language. ## Quick Start ```python import faebryk.core.faebrykpy as fbrk import faebryk.core.graph as graph import faebryk.library._F as F g = graph.GraphView.create() tg = fbrk.TypeGraph.create(g=g) resistor = F.Resistor.bind_typegraph(tg=tg).create_instance(g=g) ``` ## Relevant Files - **Facade (auto-generated)**: `src/faebryk/library/_F.py` - Eagerly imports and re-exports library modules/types for the `import faebryk.library._F as F` pattern. - This file is generated; do not hand-edit it. - **Generator**: `tools/library/gen_F.py` - Scans `src/faebryk/library/*.py`, detects whether the file contains a same-named class, and writes `_F.py`. - Orders exports via a topological sort of `F.<Name>` references to avoid import-order cycles. - **Components**: `src/faebryk/library/` contains specific component definitions (e.g. `Resistor.py`, `Capacitor.py`, `LED.py`). - **Traits/Interfaces**: Also contains trait definitions (e.g. `can_bridge.py`, `is_power.py`). ## Dependants (Call Sites) - **User Code**: atopile projects heavily import from `faebryk.library._F` (aliased as `F`). - **Compiler**: The compiler maps `ato` built-ins to these classes. ## How to Work With / Develop / Test ### Core Concepts - **Traits vs Components**: Use Traits for behavior (what it *can do* like `can_bridge`) and Components for physical things (what it *is* like `Resistor`). - **Export model**: `_F.py` is a generated “barrel” module; importing it is intentionally convenient but can be heavyweight. ### Development Workflow 1. **New Component**: Create a new file `MyComponent.py` in `src/faebryk/library/`. Inherit from `Node` (or a more specific base). 2. **Naming Convention**: Class names should match the file basename (usually). 3. **Regenerate `_F.py`**: run `python tools/library/gen_F.py` and commit the updated `src/faebryk/library/_F.py`. ### Testing - Library tests live under `test/library/` (including `test/library/nodes/`). - A good smoke test for new modules is: - `ato dev test --llm test/library/test_instance_library_modules.py -q` ## Best Practices - **Atomic Parts**: Mark leaf components (specifically verified part numbers) with the `is_atomic_part` trait. - **Parameters**: Use `F.Parameters` to define physical properties like `resistance`, `capacitance`, etc. - **Documentation**: Add docstrings to components explaining their ports and parameters.
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