Turn any AI coding agent into a synthetic-biology research assistant.
I fed my AI agent two microbiology papers and had a clean summary of the organisms, genes, and methods, plus a first-draft antimicrobial-surface design, in under 20 minutes. No lab, no PhD, no paid API.
BioForge is a skill pack for AI coding agents (Claude Code, Cursor, OpenCode). There is no orchestrator to install; your agent IS the orchestrator. Drop the pack in, point it at a paper, and it does the reading and structuring for you.
Design, research, and learning only. Built for students, iGEM teams, and science-fair projects. Not for making anything dangerous. See SAFETY.md.
git clone https://github.com/yojiro253-del/BioForge.git
cd BioForge && ./install.sh
Point your agent at ./skills. Text papers need zero dependencies. For PDFs run pip install PyMuPDF. Then ask your agent to use the paper-extractor skill on examples/antimicrobial-surface/paper1.txt.
- literature-search: queries Semantic Scholar for papers. No API key needed.
- paper-extractor: reads a paper (PDF or text), extracts organisms, genes, and methods.
They chain: search for papers, then extract from the best ones.
iGEM runs a Software Track and hosts team code on GitHub. BioForge is directly submittable: build your lit review with literature-search, use the example design plan as a template, and keep everything responsible and design-only.
- literature-search
- paper-extractor
- circuit-designer, igem-drafter, parts-lookup, lab-notebook
See .github/CONTRIBUTING.md to add one.
synthetic-biology, bioinformatics, igem, claude-skills, agent-skills
MIT. Fork freely.
