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mlir-development

Design MLIR dialects, transformation passes, and lowering pipelines for compilers.

868|100|Updated Jan 10, 2022
Search Tags:#dialects#transforms#cir#lowering#compiler-development#mlir#passes
One-click install
npx skills add https://github.com/gmh5225/awesome-llvm-security --skill mlir-development
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mlir-development
Source: https://github.com/gmh5225/awesome-llvm-security/tree/main/.claude/skills/mlir-development
Command: npx skills add https://github.com/gmh5225/awesome-llvm-security --skill mlir-development

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps compiler engineers and researchers design, implement, and optimize MLIR/CIR-based compilation systems, enabling multi-level IR workflows and reusable tooling.

Core Features & Use Cases

  • Dialect design and extension for domain-specific languages, enabling expressive IR models.
  • Write and optimize transformation passes, pattern rewrites, and lowering pipelines across MLIR dialects.
  • Prototype end-to-end toolchains from high-level DSLs through CIR/LLVM with testing and verification workflows.
  • Educational guidance and practical examples for MLIR-based optimization, code generation, and CIR integration.

Quick Start

Start by creating a minimal MLIR project, define a tiny dialect, implement a simple pass, and run it with mlir-opt to observe a basic transformation.

Frequently Asked Questions about mlir-development

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design and implement MLIR dialects for a domain-specific compiler?▼

You create MLIR dialects by defining custom operations and IR models to build expressive domain-specific representations. This skill provides educational guidance and examples for designing dialects and extending them across multi-level compilation pipelines.

How do I write MLIR transformation passes and pattern rewrites using mlir-opt?▼

You write MLIR transformation passes by implementing pattern rewrites and executing them with the mlir-opt tool to observe transformations. This skill covers writing, optimizing, and testing transformation passes across MLIR dialects.

What is the process for lowering MLIR dialects to CIR and LLVM?▼

Lowering MLIR dialects to CIR and LLVM requires building a multi-level compilation pipeline that progressively converts operations. This skill guides you in prototyping end-to-end toolchains from high-level DSLs through CIR to LLVM.

Can I prototype an end-to-end DSL toolchain using MLIR and CIR?▼

Yes, you can prototype an end-to-end DSL toolchain using MLIR and CIR by defining a minimal dialect, implementing passes, and verifying workflows. This skill provides examples for building toolchains from high-level DSLs through CIR integration to LLVM.

What prerequisite knowledge do I need for MLIR compiler development?▼

MLIR compiler development requires hands-on understanding of core concepts, dialects, operations, patterns, and tooling like mlir-opt and mlir-translate. This skill targets compiler engineers and researchers familiar with multi-level IR workflows.

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