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alchaincyf · Skill
Turns a one-line request in your AI agent into a finished design: a launch animation, a clickable app prototype, an editable slide deck, an infographic or a se…
Gives an AI coding agent expert skills for computational biology, from RNA-seq and single-cell analysis to protein structure, molecular dynamics, peptide design, literature mining and publication figures.
bioinformatics-agent-skills is an open-source project on GitHub in the Research category, listed by Mindket. It is free. This is version 1, last updated on . Install it from GitHub as its README says. Get Mindket’s setup notes on your Mindket account, as a zip.
git clone https://github.com/ssinder/bioinformatics-agent-skills.git cd bioinformatics-agent-skills
bioinformatics-agent-skills is a curated set of agent skills for computational biology. Each skill is a SKILL.md package that gives your coding agent subject knowledge, repeatable workflows and checks on the results, so it does more than call an API.
It suits researchers who already work in computational biology and want an AI coding agent that knows the field's standard analyses.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Academic research | Computational biologists | Ask an agent to run analysis workflows on RNA-seq or single-cell data | Analyzing transcriptomic data from an experiment |
| Biotech | Protein and peptide designers | Use the structure, docking and peptide design skills | Designing antimicrobial peptides |
| Research labs | Analysts who support other scientists | Reuse the same workflows and validation checks across projects | Re-running an analysis the same way each time |
| Scientific publishing | Researchers preparing papers | Use the publication-grade figures skill | Making figures for a manuscript |
You can skip it if your work is outside computational biology, since every skill in it is built for that field.
Use it in any of these agents.
| Use case | Who | What they get back |
|---|---|---|
| Transcriptomics and single-cell analysis | Biologists with expression data | Skills that bring subject knowledge, workflows and result checks to the analysis |
| Protein structure and dynamics | Structural biologists | Skills for structure work, docking, molecular dynamics and inter-chain contact analysis with PyMOL visualization |
| Peptide design | Peptide researchers | Skills for antimicrobial peptide design and machine learning peptide generation |
| Literature mining and figures | Any researcher | Help with NCBI BioProject metadata and publication-grade figures |
You need two things before you start.
Run these in a terminal:
# Copy the project to your computer git clone https://github.com/ssinder/bioinformatics-agent-skills.git # Go into its folder cd bioinformatics-agent-skills
You ask your agent for help with a single-cell analysis of your data. The agent picks the matching skill and works from its workflow and checks instead of writing the analysis from scratch.
An agent skill is a folder with a SKILL.md file that your agent reads when a task fits it. Your first small try is to pick the area you work in, such as RNA-seq, and ask your agent for one routine step in it.
The library was rebuilt from 217 research scripts that sat in a private archive, and it now follows an open standard. The migration map lists, script by script, which parts were carried over and which were redone, with reasons. Coverage is limited to the areas listed above.
# bioinformatics-agent-skills Gives an AI coding agent expert skills for computational biology, from RNA-seq and single-cell analysis to protein structure, molecular dynamics, peptide design, literature mining and publication figures. Made by ssinder on GitHub. These notes are Mindket's, written from its README; the project's own files and license are in its repository. ## About What it is: bioinformatics-agent-skills is a curated set of agent skills for computational biology. Each skill is a SKILL.md package that gives your coding agent subject knowledge, repeatable workflows and checks on the results, so it does more than call an API. Who it suits: It suits researchers who already work in computational biology and want an AI coding agent that knows the field's standard analyses. ```table Industry | Who uses it | How they use it | Example Academic research | Computational biologists | Ask an agent to run analysis workflows on RNA-seq or single-cell data | Analyzing transcriptomic data from an experiment Biotech | Protein and peptide designers | Use the structure, docking and peptide design skills | Designing antimicrobial peptides Research labs | Analysts who support other scientists | Reuse the same workflows and validation checks across projects | Re-running an analysis the same way each time Scientific publishing | Researchers preparing papers | Use the publication-grade figures skill | Making figures for a manuscript ``` You can skip it if your work is outside computational biology, since every skill in it is built for that field. Where to use it: Use it in any of these agents. - Claude Code - Cursor - Codex - Any host that supports the open Agent Skills standard ```table Use case | Who | What they get back Transcriptomics and single-cell analysis | Biologists with expression data | Skills that bring subject knowledge, workflows and result checks to the analysis Protein structure and dynamics | Structural biologists | Skills for structure work, docking, molecular dynamics and inter-chain contact analysis with PyMOL visualization Peptide design | Peptide researchers | Skills for antimicrobial peptide design and machine learning peptide generation Literature mining and figures | Any researcher | Help with NCBI BioProject metadata and publication-grade figures ``` How to set it up: You need two things before you start. - An agent host that supports the open Agent Skills standard, such as Claude Code, Cursor or Codex - A copy of the project's code from its GitHub page 1. Download the project's code from its GitHub page. 2. Follow the setup in its README to put the skills where your agent loads them. Example: You ask your agent for help with a single-cell analysis of your data. The agent picks the matching skill and works from its workflow and checks instead of writing the analysis from scratch. For newcomers and experts: An agent skill is a folder with a SKILL.md file that your agent reads when a task fits it. Your first small try is to pick the area you work in, such as RNA-seq, and ask your agent for one routine step in it. The library was rebuilt from 217 research scripts that sat in a private archive, and it now follows an open standard. The migration map lists, script by script, which parts were carried over and which were redone, with reasons. Coverage is limited to the areas listed above. ```flow Your request matches a skill The agent reads that skill's SKILL.md It follows the workflow in the skill It runs the skill's validation checks ``` Good to know: - License: MIT - The project has full documentation with a quick start, a skill catalogue, methodology references and troubleshooting - Nothing in this kit runs by itself ## On GitHub, 8 November 2026 - Stars: 75 - Forks: 6 - Open issues and pull requests: 0 - Language: Python - License: MIT - Topics: agent-skills, agent-skills-standard, bioinformatics, claude-code, claude-skills, computational-biology, literature-mining, molecular-dynamics, peptide-design, protein-structure, research-tools, rna-seq ## Links - Code: https://github.com/ssinder/bioinformatics-agent-skills - Website: https://ssinder.github.io/bioinformatics-agent-skills/ - Releases: https://github.com/ssinder/bioinformatics-agent-skills/releases - Issues: https://github.com/ssinder/bioinformatics-agent-skills/issues - Star history: https://www.star-history.com/#ssinder/bioinformatics-agent-skills&Date ## Get the code ``` git clone https://github.com/ssinder/bioinformatics-agent-skills.git ``` Then follow the setup in its README. Nothing in this kit runs by itself.
README.md 4 KB
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