Is this skill compatible with OCaml workflows?

While written for Julia, the API and logic are specifically inspired by OCaml's ppx_sexp_conv, making it familiar to developers coming from the OCaml ecosystem.

How does this improve upon standard serialization?

It provides a human-readable Lisp-like syntax that is easier to debug than JSON, while offering high-performance navigation that is 93-113x faster than typical CPS-based implementations.

Does it support colored output for terminal debugging?

Yes, it integrates Gay.jl for deterministic coloring of S-expressions based on a SplitMix64 seed, making complex data structures much easier to parse visually.

What is an ACSet in the context of this skill?

ACSets (Algebraic Databases) are flexible data structures used in Julia for modeling relational data based on Category Theory, commonly used in scientific computing and topological modeling.

Lisp-ACSet Serialization

Name: Lisp-ACSet Serialization
Author: plurigrid

byplurigrid

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Database Management

Bridges Lisp-style S-expressions with Algebraic Databases (ACSets) for seamless serialization and data manipulation in Julia.

LispSyntax-ACSet is a specialized utility for Claude Code that enables bidirectional conversion between S-expressions and ACSets.jl, following the pattern established by OCaml's ppx_sexp_conv. It provides a robust bridge for developers working with Category Theory-based data structures, allowing them to parse, serialize, and visualize complex topological data. With integrated Specter-style navigation achieving over 100x speedup and deterministic coloring via Gay.jl, it is an essential tool for high-performance algebraic modeling and symbolic computing within the Julia ecosystem.

Key Features

012 GitHub stars

02Deterministic colored S-expressions for enhanced visual debugging

03High-performance Specter-style navigation with zero-overhead optimizations

04Bidirectional S-expression to ACSet conversion inspired by OCaml patterns

05Type-stable path caching for correct-by-construction data traversals

06Comprehensive primitive converters for integers, floats, and strings

Use Cases

01Serializing complex algebraic databases for storage, transmission, or version control

02Building interoperability layers between Julia, Clojure, and OCaml-style workflows

03Debugging ACSet structures using human-readable, color-coded symbolic expressions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi lispsyntax-acset

For use in Claude.ai and ChatGPT

Download Skill