skills.rest
Self Driving Laboratories @ Argonne avatar

Self Driving Laboratories @ Argonne

Official

@ad-sdl · United States of America

0Followers
|
121Public Repos
|
2Published Skills

Software for automated scientific laboratories created at Argonne National Laboratory

🐙 GitHub ↗🌐 Website ↗
Skills Distribution
DomainDeveloper To...Static Analysis (40%)Code Quality Assur.. (30%)Repository Governa.. (30%)

Agent Skills by Self Driving Laboratories @ Argonne

Showing 2 vetted skills indexed across 1 GitHub repositories.

AD-SDLAD-SDL
74

code-ratchets

Count deprecated Python code patterns across git repositories with pre-commit workflows.

Official
Advanced
AD-SDLAD-SDL
74

galahad

Enforce strict tests, types, lints, and coverage standards across TypeScript and Python projects.

Official
Advanced

Frequently Asked Questions About Self Driving Laboratories @ Argonne

FAQPage Schema
What specific tasks does the ad-sdl suite enable for developers?▼

The suite enables systematic identification of deprecated code patterns and enforces rigorous quality standards. It ensures consistent type safety, linting compliance, and mandatory coverage metrics across research repositories, reducing technical debt and improving long-term maintainability of scientific software.

Which engineering personas benefit from these quality enforcement standards?▼

Research software engineers and laboratory data scientists benefit from these standards. These entities provide the necessary guardrails for teams managing complex, long-lived scientific codebases where reliability and reproducibility are critical for experimental outcomes.

What are the prerequisites for implementing these quality gates?▼

Implementation requires a git-based repository structure and a pre-commit environment. Projects must be configured to support TypeScript or standard language-specific linting and testing frameworks to allow the enforcement of coverage and type-checking rules.