Babysitter LLVM Backend

Expert skill for LLVM integration including IR generation, optimization passes, and native code emission

install

source · Clone the upstream repo

git clone https://github.com/a5c-ai/babysitter

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/programming-languages/skills/llvm-backend" ~/.claude/skills/a5c-ai-babysitter-llvm-backend && rm -rf "$T"

manifest: library/specializations/programming-languages/skills/llvm-backend/SKILL.md

LLVM Backend Skill

Overview

Expert skill for LLVM integration including IR generation, optimization passes, and native code emission.

Capabilities

Generate LLVM IR from high-level AST/IR
Configure and run LLVM optimization passes
Implement custom LLVM passes
Handle LLVM type system mapping
Generate debug information (DWARF)
Configure target machine and code generation options
Implement LLVM JIT (ORC, MCJIT) integration
Handle cross-compilation target triples

Target Processes

code-generation-llvm.js
jit-compiler-development.js
debugger-adapter-development.js
ir-design.js

Dependencies

LLVM C++ API
llvm-sys bindings
Inkwell (Rust LLVM bindings)

Usage Guidelines

Type Mapping: Establish clear mapping between source types and LLVM types
SSA Form: Leverage LLVM's SSA form; generate clean IR and let LLVM optimize
Debug Info: Generate debug info from the start using DIBuilder
Optimization Levels: Test with -O0 first, then enable optimizations incrementally
Target Configuration: Abstract target-specific code behind target triple configuration

Output Schema

{
  "type": "object",
  "properties": {
    "llvmVersion": { "type": "string" },
    "targetTriple": { "type": "string" },
    "optimizationLevel": {
      "type": "string",
      "enum": ["O0", "O1", "O2", "O3", "Os", "Oz"]
    },
    "passes": {
      "type": "array",
      "items": { "type": "string" }
    },
    "generatedFiles": {
      "type": "array",
      "items": { "type": "string" }
    }
  }
}