automation

albucore

Name: albucore
Author: albumentations-team

A high-performance image processing library designed to optimize and extend the Albumentations library with specialized functions for advanced image transformations. Perfect for developers working in computer vision who require efficient and scalable image augmentation.

123 stars11 forksPythonUpdated 10/15/2026100% free · open source

About this skill

A high-performance image processing library designed to optimize and extend the Albumentations library with specialized functions for advanced image transformations. Perfect for developers working in computer vision who require efficient and scalable image augmentation.

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/e384620c-8a41-4742-8b51-ba725e847e09 && curl -fsSL https://workflowstacks.com/api/skills/e384620c-8a41-4742-8b51-ba725e847e09/claude-skill -o ~/.claude/skills/e384620c-8a41-4742-8b51-ba725e847e09/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How albucore works

Codeflow

Free to inspect

Albucore is a large Python project (~23k lines across 78 code files, plus 57 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.

Size

Large codebase

~23k lines · 78 code files · ~3 h to skim

Setup

Developer setup

A real software project. Use it via its install path; don't expect to read it all.

Runs on

Python

No API keys detected

Python 100%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
AGENTS.md
The instructions the AI actually follows
3
pyproject.toml
Dependencies and the commands it exposes
4
albucore/__init__.py
Inside albucore/ — the main logic begins here

What's in each folder

albucore/Core code — the actual logic22 files

docs/Documentation19 files

benchmarks/Evaluations & benchmarks58 files

tools/Helper scripts17 files

legal/Folder3 files

tests/Tests — proof it works60 files

.github/CI / automation (GitHub Actions)12 files

.codex/Tool / agent settings7 files

READMEHas testsDocumentedCI checksMIT licenseUpdated this month