Aurabox
Official@aurabx · Australia
Offers specialized medical imaging data transformation and standardized software engineering lifecycle management for high-performance development environments.
Agent Skills by Aurabox
Showing 17 vetted skills indexed across 2 GitHub repositories.
automatic-security-review
Apply a security review checklist and threat modeling framework to codebases.
git-commit
Generate Conventional Commits messages from working tree or staged diffs.
codex-plans
Create and execute structured design documents for complex software features.
tailwindcss-development
Style web applications with Tailwind CSS v3 utility classes for responsive layouts.
automatic-refactoring
Apply systematic refactoring techniques to reduce code complexity and technical debt.
automatic-documentation
Standardize creation and maintenance of READMEs, API specifications, and ADRs.
automatic-performance
Profile CPU, memory, and I/O to identify and resolve software performance bottlenecks.
automatic-features
Manage feature backlogs and work item lifecycles through the Automatic MCP service.
automatic-debugging
Diagnose software defects through systematic reproduction and evidence-based verification.
linear-workflow
Automate Linear issue lifecycle management with enforced state transitions and standardized labeling.
vercel-react-best-practices
Analyze React and Next.js code for performance optimization opportunities.
automatic-code-review
Evaluate pull request diffs against correctness and security standards.
automatic-testing
Establish standardized principles for designing deterministic software test suites.
Medical Imaging Pipelines
Convert DICOM medical images to NIfTI, PNG, JPEG, and HDF5 formats.
Aurabox REST API
Generate Python and TypeScript client code for the Aurabox REST API.
DICOMweb Protocol
Generate Python DICOMweb clients for QIDO-RS, WADO-RS, and STOW-RS operations.
DICOM Processing
Read, write, and modify DICOM tags and pixel data using pydicom and DCMTK.
Frequently Asked Questions About Aurabox
FAQPage SchemaWhat specific medical imaging tasks does Aurabox support?▼
Aurabox enables the conversion of DICOM medical images into NIfTI, PNG, JPEG, and HDF5 formats. It also provides functionality for reading, writing, and modifying DICOM tags and pixel data using established libraries like pydicom and DCMTK, alongside support for DICOMweb QIDO-RS, WADO-RS, and STOW-RS operations.
Which engineering personas benefit from these capabilities?▼
These capabilities are designed for medical imaging researchers, data engineers, and software developers. The platform assists teams in managing complex software lifecycles, enforcing code quality standards, and optimizing web application performance through systematic profiling and standardized documentation practices.
What are the prerequisites for implementing these software management features?▼
Implementation requires a codebase utilizing standard version control systems and modern web frameworks like React or Next.js. Users should have existing access to the Aurabox service to integrate the provided modules for issue lifecycle management, performance profiling, and standardized documentation generation.