Bytecode VM

SkillMedia

Expert skill for bytecode virtual machine design including instruction set design, dispatch mechanisms, and stack/register architectures

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

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Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Bytecode VM skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/programming-languages/skills/bytecode-vm/SKILL.md and read by ahel’s review.

Overview

Expert skill for bytecode virtual machine design including instruction set design, dispatch mechanisms, and stack/register architectures.

Capabilities

Design bytecode instruction sets
Implement stack-based vs register-based VMs
Implement efficient dispatch (switch, computed goto, threaded)
Design compact bytecode encoding
Implement bytecode verification
Handle exception handling in bytecode
Design inline caching for dynamic dispatch
Implement bytecode serialization/deserialization

Target Processes

bytecode-vm-implementation.js
interpreter-implementation.js
jit-compiler-development.js
repl-development.js

Dependencies

VM implementation literature (Crafting Interpreters, Programming Language Pragmatics)

Usage Guidelines

Architecture Selection: Choose stack-based for simplicity, register-based for performance
Dispatch Mechanism: Use computed goto/threaded dispatch for hot loops
Encoding: Design compact bytecode encoding to improve cache locality
Verification: Implement bytecode verification for security and debugging
Inline Caching: Add inline caching for polymorphic call sites

Output Schema

{
  "type": "object",
  "properties": {
    "architecture": {
      "type": "string",
      "enum": ["stack-based", "register-based", "hybrid"]
    },
    "dispatch": {
      "type": "string",
      "enum": ["switch", "computed-goto", "direct-threaded", "indirect-threaded"]
    },
    "instructionCount": { "type": "integer" },
    "encoding": {
      "type": "string",
      "enum": ["fixed-width", "variable-length"]
    },
    "generatedFiles": {
      "type": "array",
      "items": { "type": "string" }
    }
  }
}

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: bytecode-vm
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter