Does this skill support other Lisp dialects like Clojure?

While this specific skill is dedicated to Common Lisp, it is designed to work alongside cider-clojure as a dual workflow within the same scientific ecosystem.

What is the SLIME Lisp skill for Claude Code?

It is a specialized skill that enables Claude to use SLIME (Superior Lisp Interaction Mode) commands to develop, evaluate, and compile Common Lisp code interactively.

What are the core commands provided by the SLIME Lisp skill?

The primary commands include 'slime' to start connections, 'slime-eval-defun' for evaluating specific functions, and 'slime-compile-and-load-file' for buffer management.

Can I perform graph theory analysis with this skill?

Yes, the skill integrates with the K-Dense-AI ecosystem and NetworkX, allowing for advanced graph theory and topological modeling within a Lisp environment.

SLIME Common Lisp Integration

Name: SLIME Common Lisp Integration
Author: plurigrid

byplurigrid

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Developer Tools

Integrates Superior Lisp Interaction Mode (SLIME) capabilities into Claude for interactive Common Lisp development and evaluation.

The SLIME Lisp skill brings the power of interactive Common Lisp development to Claude Code, facilitating a seamless bridge between AI assistance and traditional REPL-driven workflows. It allows Claude to manage SLIME connections, evaluate definitions (defuns) in real-time, and compile or load files directly within the Lisp environment. Built for the plurigrid ecosystem, this skill acts as a contravariant dual to Clojure workflows and supports advanced scientific skill interleaving with graph theory and topological computing. It is an essential tool for developers building symbolic AI, complex mathematical models, or high-performance Lisp applications.

Key Features

012 GitHub stars

02Direct evaluation of Lisp definitions via slime-eval-defun

03Automated file compilation and loading into active REPLs

04Interactive SLIME connection management for Common Lisp

05Integration with NetworkX for topological graph analysis

06Compositional coherence within the Cat# equipment structure

Use Cases

01REPL-driven Common Lisp application development and debugging

02Cross-dialect Lisp development bridging Common Lisp and Clojure workflows

03Scientific computing involving graph theory and topological data analysis

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi slime-lisp

For use in Claude.ai and ChatGPT

Download Skill