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AI EngineeringPython

Abstract Invariant Generator

by ArabelaTso

Abstract Invariant Generator is an AI Engineering 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
claudeclaude-codeclaude-skillsmetaprogrammingsoftware-developmentsoftware-engineering
Install in seconds
Install Abstract Invariant Generator
Copy Abstract Invariant Generator 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-invariant-generator ~/.claude/skills/abstract-invariant-generator

Requires Node.js. Downloads this skill only โ€” not the rest of the repository โ€” 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 skillโ€™s own directory into your skills folder yourself.

In this catalog

Source file
skills/abstract-invariant-generator/SKILL.md in ArabelaTso/Skills-4-SE
Installs to
~/.claude/skills/abstract-invariant-generator
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering โ€” 2631 skills

What Abstract Invariant Generator does

Abstract Invariant Generator infers loop invariants, preconditions, and postconditions from code using abstract interpretation. Use it when adding formal specifications or verification conditions in Dafny, Isabelle, Coq, ACSL, and similar systems.

Abstract Invariant Generator is cataloged under AI Engineering on DirSkills. Abstract Invariant Generator comes from a repository tagged claude, claude-code, claude-skills, metaprogramming and software-development.

Documentation

README

Abstract Invariant Generator

Overview

This skill uses abstract interpretation to automatically infer loop invariants, function preconditions, and postconditions. It generates formal specifications that support verification and reasoning about program correctness.

Invariant Generation Workflow

Step 1: Identify Specification Points

Analyze the code to identify where invariants are needed:

Loop Invariants: For each loop

while condition:
    # Need: invariant that holds before/after each iteration
    body

Function Contracts: For each function

def function(params):
    # Need: precondition (what must be true on entry)
    body
    # Need: postcondition (what is guaranteed on exit)

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

Frequently asked about Abstract Invariant Generator

  • What else does ArabelaTso publish alongside Abstract Invariant Generator?

    Abstract Invariant Generator 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 Invariant Generator 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 Invariant Generator compare to other AI Engineering skills?

    Abstract Invariant Generator ranks #2329 by stars among the 2631 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. 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 Invariant Generator against them. Open each page to compare what they document and how they install.

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