A skill library for AI-native scientific research. Reusable skills for workflow orchestration, coding, runtime submission, and environment setup. Works with Claude Code, Codex CLI, Trae.
A collection of reusable AI-agent skills for scientific software development, experiments, and research environments. OneSkills can be installed for several coding agents, including Codex, Claude Code, Trae, and OpenCode.
A skill for running OneScience command-line commands on remote SSH or SLURM systems. SSH is a way to use another computer remotely, while SLURM schedules jobs on shared computing clusters.
A step-by-step coding workflow for OneScience projects. It gathers project knowledge, breaks work into confirmed steps, implements each step, and runs checks when finished.
A data-analysis skill for OneScience, a research-focused AI platform. It accepts task details from the conversation or from handoff files, then carries out analysis, charts, and report generation.
A planning tool for deciding how scientific data should be prepared. It turns a task description into a data contract, processing steps, and risk notes, then passes that plan to another workflow component.
A workflow tool for building and checking scientific datasets. It can create a small startup script around existing data-processing code, then check the finished dataset and produce metadata.
A workflow tool for running scientific machine-learning models. It helps prepare inputs, load models or saved checkpoints, run predictions, check the results, create visualizations, and compare them with a baseline.
An installer and checker for OneScience environments and related scientific software. It reads an onescience.json file and can work with local or remote execution sites.
A tool for preparing a reproduced research model for ModelScope, a platform for sharing machine-learning models. It organizes files into the platform’s expected directory structure and creates upload guidance.
A tool for extracting the information needed to reproduce a research paper and turning it into a structured specification and coding task description. It can use a paper PDF, URL, arXiv entry, DOI, or supplied text.
A skill for changing PyTorch models to run across multiple devices with pipeline and tensor parallelism. Pipeline parallelism splits model stages between devices, while tensor parallelism splits individual calculations.
A resource-search tool for finding reusable OneScience building blocks. It searches a catalogue for the most relevant scientific workflow components and returns their supporting details and usage contracts.
A research-workflow planning skill for OneScience, a system that coordinates scientific computing tasks. It creates detailed plans for fields such as weather, biology, materials, and fluid simulations, including steps, dependencies, resources, checks, and fallback paths.
A configuration workflow for OneScience, a platform for running scientific computing tasks. It collects and checks where and how a task will run, then saves the settings for reuse.
A controlled workflow for running and diagnosing OneScience jobs. It checks project settings and execution readiness before allowing work to run locally, over SSH, on a SLURM cluster, or through SCnet.
A workflow for planning, creating, running, and checking machine-learning model training. It covers data splits, loss functions, optimizers, learning-rate schedules, evaluation, checkpoints, logs, and runtime needs.
A natural-language interface for SCNet, a high-performance computing platform used to run scientific or technical jobs on shared clusters. It can also manage files, account details, regions, and queues.