discover-ir

Discover relevant IR skills during LLVM IR and compiler development workflows.

126|7|Updated Oct 18, 2025
One-click install
npx skills add https://github.com/rand/cc-experiments --skill discover-ir
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: discover-ir
Source: https://github.com/rand/cc-experiments/tree/main/skills/discover-ir
Command: npx skills add https://github.com/rand/cc-experiments --skill discover-ir

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Understanding and working with Intermediate Representations (IR) in compilers or information retrieval systems can be complex. This skill provides immediate access to expertise on IR fundamentals, compiler optimizations, code generation, and various search techniques (ranking, recommendation, vector search), simplifying advanced system development.

Core Features & Use Cases

  • IR & Compiler Optimization: Covers LLVM IR, SSA, compiler optimizations, and code generation.
  • Information Retrieval: Includes skills for query understanding, ranking, recommendation systems, search fundamentals, and vector search.
  • Contextual Activation: Automatically activates when you're working on IR or compiler development tasks, offering relevant guidance.
  • Use Case: When optimizing a compiler's backend, this skill can guide you through applying SSA form and various compiler optimization techniques.

Quick Start

Explain the concept of SSA in intermediate representation and its benefits for compiler optimization.

Frequently Asked Questions about discover-ir

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

FAQPage Schema
What is intermediate representation and why do compilers use it?

Intermediate representation (IR) is a compiler-level abstraction between source code and machine code that enables optimization and portability. IR standardizes code structure—often in SSA form—allowing compilers to apply optimizations uniformly across different languages and target architectures without rewriting the entire pipeline.

How do I apply SSA form to optimize compiler backends?

Static Single Assignment (SSA) form assigns each variable exactly once, creating a data-flow graph that simplifies optimization passes. Convert your IR to SSA, then apply compiler optimizations like dead code elimination and constant propagation before generating target machine code.

Can I use LLVM IR for code generation and compiler optimizations?

Yes, LLVM IR is a widely-used intermediate representation designed for both code generation and optimization. It supports SSA form, integrates with multiple frontend languages, and provides a rich library of compiler optimization passes for backend tuning.

What's the difference between IR fundamentals and information retrieval search techniques?

IR in compilers handles code transformation and optimization; information retrieval IR covers ranking, vector search, and recommendation systems for document and query processing. This skill covers both domains—compiler IR for optimization and search IR for retrieval workflows.

When should I activate IR skills during development workflows?

Activate IR skills when working on compiler backends, code generation pipelines, optimization passes, or search-based retrieval systems. The skill auto-detects IR-related tasks and provides progressive guidance from foundational concepts through specific optimization techniques.

Do I need prior compiler knowledge to understand code generation with IR?

The skill covers IR fundamentals from the ground up, making it accessible to developers new to compiler design. It progresses from core concepts like SSA and code generation through advanced optimization techniques, supporting both learning and active development.