Register Allocation

Expert skill for register allocation algorithms including graph coloring, linear scan, and spill code generation

509 stars

Best use case

Register Allocation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Expert skill for register allocation algorithms including graph coloring, linear scan, and spill code generation

Teams using Register Allocation should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/register-allocation/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/programming-languages/skills/register-allocation/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/register-allocation/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Register Allocation Compares

Feature / AgentRegister AllocationStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Expert skill for register allocation algorithms including graph coloring, linear scan, and spill code generation

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Register Allocation Skill

## Overview

Expert skill for register allocation algorithms including graph coloring, linear scan, and spill code generation.

## Capabilities

- Implement graph coloring register allocation
- Implement linear scan register allocation
- Generate spill code with minimal overhead
- Handle calling convention register constraints
- Implement register coalescing
- Handle pre-colored nodes and fixed registers
- Implement live range splitting
- Design register pressure analysis

## Target Processes

- jit-compiler-development.js
- code-generation-llvm.js
- bytecode-vm-implementation.js

## Dependencies

None (algorithmic skill)

## Usage Guidelines

1. **Algorithm Selection**: Use linear scan for JIT (fast), graph coloring for AOT (optimal)
2. **Live Ranges**: Compute accurate live ranges before allocation
3. **Spill Costs**: Use heuristics to minimize spill costs (loop depth, usage frequency)
4. **Calling Conventions**: Handle caller/callee-saved registers correctly
5. **Coalescing**: Implement aggressive coalescing to reduce moves

## Output Schema

```json
{
  "type": "object",
  "properties": {
    "algorithm": {
      "type": "string",
      "enum": ["graph-coloring", "linear-scan", "second-chance-binpacking"]
    },
    "spillStrategy": { "type": "string" },
    "registerClasses": {
      "type": "array",
      "items": { "type": "string" }
    },
    "generatedFiles": {
      "type": "array",
      "items": { "type": "string" }
    }
  }
}
```