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atopile

Official

@atopile

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60Public Repos
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21Published Skills

Building electronics with code

Skills Distribution
DomainDeveloper To...Electronic Design .. (40%)Compiler Construct.. (30%)Constraint-Based M.. (30%)

Agent Skills by atopile

Showing 21 vetted skills indexed across 1 GitHub repositories.

atopileatopile
3.7k

atopile-skills

Maintains SKILL.md documentation files using source-of-truth verification against repository code.

Official
Intermediate
atopileatopile
3.7k

frontend

Enforces architecture, contract, and testing standards for atopile extension webview frontend development.

Official
Advanced
atopileatopile
3.7k

code-review

Reviews pull requests against repo invariants, tests, and performance criteria with structured scoring.

Official
Intermediate
atopileatopile
3.7k

planning

Plans complex circuit board designs by writing specs as .ato files with requirements and checklists.

Official
Advanced
atopileatopile
3.7k

agent

Orchestrates checklist-driven implementation of atopile circuit board designs through tool calls.

Official
Advanced
atopileatopile
3.7k

agent-summary

Generates short live progress summaries from recent agent tool events and build state.

Official
Basic
atopileatopile
3.7k

ato

Author and review atopile circuit board designs using the ato declarative hardware language.

Official
Advanced
atopileatopile
3.6k

Domain Layer

Automate electronics build pipelines to generate Gerbers, BOMs, and PCB layouts.

Official
Advanced
atopileatopile
3.6k

Graph

Create and manipulate Zig-backed graphs through Python bindings and GraphView.create().

Official
Advanced
atopileatopile
3.6k

Library

Document the Faebryk component library structure and its generation workflow.

Official
Basic
atopileatopile
3.6k

LSP

Provide autocomplete, go-to-definition, hover, and diagnostics for ato files via LSP.

Official
Intermediate
atopileatopile
3.6k

Solver

Simplify and validate Faebryk constraint systems built from Parameters, Literals, and Expressions.

Official
Advanced
atopileatopile
3.6k

Faebryk

Model and traverse TypeGraph structures with Python-Zig bindings.

Official
Advanced
atopileatopile
3.6k

Pyzig

Automate Zig to Python bindings for Faebryk modules.

Official
Advanced
atopileatopile
3.6k

FabLL

Map Python node and trait declarations to a live TypeGraph and instance graph.

Official
Advanced
atopileatopile
3.6k

Sexp

Parses, formats, and manipulates KiCad S-expressions via Python API.

Official
Advanced
atopileatopile
3.6k

Dev

Coordinate Zig builds, orchestrated tests, and test artifact consumption.

Official
Advanced
atopileatopile
3.6k

Skills

Write and maintain SKILL.md files with validated frontmatter and runnable Quick Start sections.

Official
Basic
atopileatopile
3.6k

ATO Language

Reference ATO DSL syntax and semantics for editing .ato files and ato.yaml.

Official
Basic
atopileatopile
3.6k

Compiler

Parse .ato sources into a linked, self-contained TypeGraph.

Official
Advanced
atopileatopile
3.6k

Code Review

Guide code reviews by grounding feedback in invariants and test artifacts.

Official
Intermediate

Frequently Asked Questions About atopile

FAQPage Schema
What specific hardware engineering tasks does this platform enable?

The platform enables the programmatic definition of electronic circuits, allowing engineers to generate PCB layouts, manufacturing-ready Gerbers, and Bills of Materials. It facilitates the validation of component constraints and parameters, ensuring hardware designs adhere to defined electrical invariants before physical production.

Which engineering personas benefit from these capabilities?

Hardware engineers, PCB designers, and firmware developers who prefer managing electronic designs through version-controlled source code rather than traditional graphical interfaces. It is specifically designed for teams seeking to integrate hardware development into standard software engineering practices and continuous integration environments.

What are the primary prerequisites for implementing this hardware design environment?

Users require a foundational understanding of the ATO domain-specific language and familiarity with KiCad S-expressions. The environment relies on a Zig-backed graph architecture, necessitating a local setup capable of executing the compiler to transform source files into linked TypeGraph structures and final manufacturing artifacts.