abstract-machine

Define abstract machine configurations and transition rules for operational semantics.

17|2|Updated Feb 16, 2026
One-click install
npx skills add https://github.com/rainoftime/pl-skills --skill abstract-machine
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: abstract-machine
Source: https://github.com/rainoftime/pl-skills/tree/main/abstract-machine
Command: npx skills add https://github.com/rainoftime/pl-skills --skill abstract-machine

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides the tools and knowledge to define and implement abstract machines, which are crucial for understanding and executing the operational semantics of programming languages.

Core Features & Use Cases

  • Configuration Definition: Define the state of a machine (code, environment, continuation).
  • Transition Rules: Specify how the machine's state evolves.
  • Interpreter Implementation: Build interpreters based on formal semantics.
  • Use Case: You can use this skill to build an interpreter for a small functional language by defining its abstract machine and its transition rules.

Quick Start

Implement the CEK machine for a lambda calculus expression.

Frequently Asked Questions about abstract-machine

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I implement an interpreter using operational semantics?

An abstract machine defines operational semantics by specifying transition rules that evolve a machine's configuration state, including code, environments, and continuations, to execute programming languages.

How do I define transition rules for an abstract machine?

To define transition rules for an abstract machine, specify how the machine's configuration state—comprising code, environments, and continuations—evolves during each step of program execution.

Can I use this to build an interpreter for a small functional language?

Yes, you can build an interpreter for a small functional language by defining its abstract machine, establishing transition rules, and managing stacks and environments to execute lambda calculus expressions.

Do I need functional programming knowledge to define abstract machines?

Yes, defining and executing abstract machines requires prior knowledge of functional programming languages and formal methods to properly handle configuration states and operational semantics.

What is the best way to handle environment and stack management in formal semantics?

The best way to handle environment and stack management in formal semantics is to define an abstract machine that explicitly models configuration states, continuation stacks, and environment bindings during transitions.