AI Agent Skill HUB

ssa-transformation-library

SSA-form transformations and optimizations for compiler development

509 stars
bya5c-ai
View on GitHubInstallation ↓

Best use case

ssa-transformation-library is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

SSA-form transformations and optimizations for compiler development

Teams using ssa-transformation-library should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/ssa-transformation-library/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/computer-science/skills/ssa-transformation-library/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/ssa-transformation-library/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How ssa-transformation-library Compares

Feature / Agentssa-transformation-libraryStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

SSA-form transformations and optimizations for compiler development

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# SSA Transformation Library

## Purpose

Provides expert guidance on SSA (Static Single Assignment) form transformations for compiler optimization.

## Capabilities

- SSA construction (dominance-based)
- Phi node insertion and elimination
- SSA-based optimization templates
- Dominance tree computation
- Use-def chain analysis
- SSA destruction for code generation

## Usage Guidelines

1. **CFG Analysis**: Analyze control flow graph
2. **Dominance**: Compute dominance frontiers
3. **SSA Construction**: Insert phi nodes and rename variables
4. **Optimization**: Apply SSA-based optimizations
5. **Destruction**: Convert back for code generation

## Tools/Libraries

- LLVM IR
- GCC GIMPLE
- SSA libraries

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