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Open-source AI-for-Science skills for research, experiments, and paper writing.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ai4s-skills" yet — see the docs or source repo.
Use ai4s-skills to survey literature on protein structure prediction: first break down the topic, then summarize key paper directions and open questions.
A topic breakdown, literature map, and a list of follow-up research questions.
Use ai4s-skills to design an experiment plan for comparing a model on scientific data, including variables, controls, metrics, and logging points.
An actionable experiment plan and evaluation framework.
Use ai4s-skills to turn my experimental results into a paper outline, generating writing points for abstract, methods, results, and discussion.
A paper outline with writing guidance for each section.
Researchers can use it to break down a new science topic, map directions, and turn ideas into testable hypotheses. It is designed to be driven by a coding-capable AI agent.
When you need to synthesize many papers and start writing, it can help with literature surveys, paper structure, and drafting key points.
During experiment design and result consolidation, it can help plan workflows and support integrity-related review.
It is an open-source set of agent skills for AI for Science, covering topic exploration, literature survey, experiments, paper writing, and integrity audits. It is driven by any coding agent.
It is mainly for researchers, developers, and students who need help with exploration, survey, experiments, and writing in research workflows.
The provided information only says it is driven by a coding agent; installation, dependencies, and configuration are not specified. See the source repository.
Access and extend reusable AI skills for scientific research workflows.
Equip AI agents with scientific skills and database access for research.
Equip any AI model with open-source research and engineering skills.
Provides AI workflows for literature review, research design, writing, and delegation.
Access biomedical AI skills for omics analysis, clinical AI, and protein design.
Supports medical research with protocol design, analysis, evidence insights, and writing.