Expert skill for LLVM integration including IR generation, optimization passes, and native code emission
Scanned 9/2/2026
Install to Claude Code
npx -y skills add a5c-ai/babysitter --skill llvm-backend --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Llvm Backend?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/a5c-ai-llvm-backend-babysitter)More formats (shields.io, HTML) on the badges page.
---
name: LLVM Backend
description: Expert skill for LLVM integration including IR generation, optimization passes, and native code emission
category: Code Generation
allowed-tools:
- Read
- Write
- Edit
- Glob
- Grep
- Bash
graph:
domains: [domain:software-engineering]
specializations: [specialization:programming-languages]
skillAreas: [skill-area:compiler-implementation, skill-area:language-design]
roles: [role:backend-engineer]
---
# 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
1. **Type Mapping**: Establish clear mapping between source types and LLVM types
2. **SSA Form**: Leverage LLVM's SSA form; generate clean IR and let LLVM optimize
3. **Debug Info**: Generate debug info from the start using DIBuilder
4. **Optimization Levels**: Test with -O0 first, then enable optimizations incrementally
5. **Target Configuration**: Abstract target-specific code behind target triple configuration
## Output Schema
```json
{
"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" }
}
}
}
```
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!