Abstract Domain Explorer

by ArabelaTso

Abstract Domain Explorer is a Quality skill for Claude Code, published by ArabelaTso in Skills-4-SE.

247 stars23 forkson ArabelaTso/Skills-4-SEAdded 2026/09/02+4% in starsRepository updated 2026/08/21

View source on GitHub Download repo ZIP

claudeclaude-codeclaude-skillsmetaprogrammingsoftware-developmentsoftware-engineering

Install in seconds

Install Abstract Domain Explorer

Copy Abstract Domain Explorer into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/ArabelaTso/Skills-4-SE/tree/main/skills/abstract-domain-explorer ~/.claude/skills/abstract-domain-explorer

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/ArabelaTso/Skills-4-SE.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/abstract-domain-explorer/SKILL.md in ArabelaTso/Skills-4-SE
Installs to: ~/.claude/skills/abstract-domain-explorer
Collection: One of 25 skills cataloged from this repository
Category: Quality — 1418 skills

What Abstract Domain Explorer does

Abstract Domain Explorer applies abstract interpretation to statically analyze programs and infer invariants, value ranges, and variable relationships. Use it to study loops, check safety properties, and detect issues like division by zero without running code.

Abstract Domain Explorer is cataloged under Quality on DirSkills. Abstract Domain Explorer comes from a repository tagged claude, claude-code, claude-skills, metaprogramming and software-development.

Documentation

README

Excerpt

Abstract Domain Explorer

Overview

This skill applies abstract interpretation to statically analyze programs using various abstract domains. It infers invariants, value ranges, and relationships between variables without executing the code. Different domains offer different trade-offs between precision and efficiency.

Analysis Workflow

Follow these steps to analyze programs with abstract domains:

1. Select Appropriate Domain(s)

Choose based on analysis goals:

Interval Domain:

Use for: Range analysis, bounds checking, array indexing
Precision: Low to medium
Cost: Very efficient
Example: Determine if x ∈ [0, 100]

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Abstract Domain Explorer

What else does ArabelaTso publish alongside Abstract Domain Explorer?
Abstract Domain Explorer is one of 25 skills that DirSkills catalogs from ArabelaTso/Skills-4-SE, the repository it ships in. Its siblings there include ACSL Annotation Assistant, API Design Assistant and API Documentation Generator. Each one is a separate skill with its own page in this directory, installs the same way Abstract Domain Explorer does, and is maintained by ArabelaTso in that same repository. The rest of the collection is listed on the ArabelaTso/Skills-4-SE page.
How does Abstract Domain Explorer compare to other Quality skills?
Abstract Domain Explorer ranks #1301 by stars among the 1418 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Abstract Domain Explorer against them. Open each page to compare what they document and how they install.