LLVM Backend

SkillDev tools

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

Use LLVM Backend in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add LLVM Backend and connect your AI. About a minute.

Claude ChatGPT Ahel Desktop

Also: Claude Code · Cursor · Codex

Then ask your AI: use the LLVM Backend skill

Details

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

Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.

No other account needed.

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

LLVM BackendStart free

What this skill tells your AI

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

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" }
    }
  }
}

Signals

GitHub stars: 2k
Forks: 113
Last commit: Sep 2026

Advanced

Item type: skill
Key: llvm-backend
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter