Guide · Open source
How to use scientific-agent-skills with an AI agent
Updated · written with AI from the project's own documentation and checked against our catalogue data
scientific-agent-skills is an MIT-licensed collection of 177 skill files for AI agents, covering packages, databases and workflows in biology, chemistry, medicine, physics and other fields. It is aimed at researchers, developers and students who already work with an AI coding agent such as Cursor, Claude Code or Codex. This guide explains what the project is, how to get the repository, and how to choose and use the skills.
Scientific Agent SkillsK-Dense-AI/scientific-agent-skills · ★ 55.8k · MIT Install options & downloads Quick start
- 1Check your agent host. Confirm you use an agent that supports the Agent Skills standard, such as Cursor, Claude Code or Codex.
- 2Clone the repository. Run git clone https://github.com/K-Dense-AI/scientific-agent-skills in your terminal.
- 3Open the skill catalog. Browse the category list or the complete catalog linked in the README to find skills for your field.
- 4Load the skills into your agent. Make the cloned skills available to your agent host, following that host's own instructions for skills or plugins.
- 5Ask a task in your domain. Give your agent a concrete scientific task that matches a loaded skill, such as a sequence analysis or a figure.
- 6Verify the output. Check the agent's results against your data and the underlying package documentation before relying on them.
What is scientific-agent-skills?
The project is a set of skills, not a standalone program. Each skill is a guidance file for a specific scientific package, data source or workflow. According to the README, each skill provides curated documentation, examples and validation checks, which helps an agent handle those tasks more reliably than it would without them.
The collection follows the open Agent Skills standard and is listed as working with Cursor, Claude Code, Codex and Google Antigravity.
What you need before you start
You need an AI agent host that supports the Agent Skills standard. The README names Cursor, Claude Code and Codex as examples. Without one of these hosts, the skills have nothing to load into.
You also need git, since the install method is clone-and-build and the README's install step is a git clone.
Clone the repository
Clone the repository from GitHub using the command below. The README lists this as the install command. After cloning, the skills are in the local folder for your agent to use.
The README also says the collection is a portable Agent Plugins package with plugin.json and a skills/ folder, so clients that support that standard can load the whole collection as one plugin.
git clone https://github.com/K-Dense-AI/scientific-agent-skillsFind the skills that match your work
The README groups skills into domains. These include bioinformatics and genomics, cheminformatics and drug discovery, proteomics, microscopy, neuroscience, materials science, physics and astronomy, data analysis, geospatial science and scientific communication, among others.
Before loading a skill, check the illustrated skill guides, the category list and the complete catalog that the README links to. This helps you pick the skills relevant to your field rather than loading everything.
- Bioinformatics: sequence analysis, single-cell RNA-seq, primer design, phylogenetics
- Cheminformatics: molecular property prediction, molecular docking, ADMET analysis
- Data analysis: statistical analysis, network analysis, publication-quality figures
- Scientific communication: literature synthesis, citation management
Use the skills with your agent
Once the skills are available to your agent host, ask it a task in your field. The skill supplies the library documentation and examples the agent can draw on, so its code and steps are more likely to match the package's conventions.
The skills do not replace checking results yourself. The README describes the skills as aids that include validation checks, and the agent can still make mistakes, so verify outputs against your own data and the original package documentation.
Limits to keep in mind
The README says healthcare and clinical skills are not for patient-specific diagnosis, treatment, alarms or deployment decisions. Some animal welfare and clinical skills are described as aids to human judgement, not decision rules.
The README also notes that the agent can use any Python package on its own. The skills add curated guidance for the listed workflows.
What people use it for
- A bioinformatics researcher asks the agent to run sequence analysis or single-cell RNA-seq steps using documented package examples.
- A chemist uses cheminformatics skills for molecular property prediction or docking workflows.
- A developer builds a scientific analysis pipeline and uses skill examples as a reference for specific packages.
- A student learns a scientific Python workflow with an agent explaining each step.
- A team explores literature synthesis or data analysis with an agent, checking outputs manually.
Frequently asked questions
Is scientific-agent-skills free?
Yes, the repository is licensed under MIT, as stated in the README. You can read the license file in the repository to confirm its terms.
What do I need to install scientific-agent-skills?
You need an AI agent host that supports the Agent Skills standard, such as Cursor, Claude Code or Codex. The install method is cloning the repository with git and making the skills available to your host.
Is scientific-agent-skills a standalone app?
No. The README describes a set of skill files rather than a single program. The skills are loaded into an agent host such as Cursor or Claude Code.
Which AI tools work with scientific-agent-skills?
The README lists Cursor, Claude Code, Codex and Google Antigravity, and says it works with other compatible hosts that follow the open Agent Skills standard.
How does it compare to Anthropic Skills, LangChain or AutoGPT?
The README does not compare itself to these projects. Anthropic's Skills repository is a comparable project in the same space. LangChain and AutoGPT are general agent frameworks, while this project is a library of scientific skill files for existing agent hosts.
Can I use it for clinical decisions?
No. The README explicitly excludes patient-specific diagnosis, treatment, alarms and deployment decisions for its healthcare and clinical skills.
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Our verdict
This project suits researchers and students who already use Cursor, Claude Code or Codex and want better guidance for scientific Python and chemistry libraries. It is not suitable for anyone without an agent host, anyone needing a standalone app, or anyone looking for clinical or patient-specific decisions; compare it with general agent frameworks if you need broader tooling.
Install options & downloads