BioForge
NewTurn any AI coding agent into a synthetic-biology research assistant. A $0 skill pack for Claude Code, Cursor, and OpenCode. Design-only, built for iGEM and student researchers.
Summary
BioForge transforms any AI coding agent into a synthetic-biology research assistant, enabling you to design genetic circuits, simulate biological systems, and analyze DNA sequences directly from your terminal.
- It is a free, design-only skill pack tailored for iGEM teams and student researchers, providing ready-to-use tools for common synthetic biology workflows.
Install & Usage
mkdir -p .claude/skillsmkdir -p .claude/skills && curl -o .claude/skills/bioforge.md https://raw.githubusercontent.com/yojiro253-del/BioForge/main/SKILL.md/bioforgeUse Cases
Usage Examples
/bioforge design toggle switch with pLac and pTet promoters in E. coli
/bioforge simulate oscillator with parameters: k1=0.5, k2=0.3, degradation=0.1
/bioforge optimize codons for human insulin gene for E. coli expression
Security Audits
Frequently Asked Questions
What is BioForge?
BioForge transforms any AI coding agent into a synthetic-biology research assistant, enabling you to design genetic circuits, simulate biological systems, and analyze DNA sequences directly from your terminal. It is a free, design-only skill pack tailored for iGEM teams and student researchers, providing ready-to-use tools for common synthetic biology workflows.
How to install BioForge?
To install BioForge: create the skills directory (mkdir -p .claude/skills), then run: mkdir -p .claude/skills && curl -o .claude/skills/bioforge.md https://raw.githubusercontent.com/yojiro253-del/BioForge/main/SKILL.md. Finally, /bioforge in Claude Code.
What is BioForge best for?
BioForge is a skill categorized under General. It is designed for: design, agent. Created by yojiro253-del.
What can I use BioForge for?
BioForge is useful for: Design a genetic toggle switch with specified promoters and repressors for a bacterial chassis.; Simulate the behavior of a synthetic oscillator circuit over time using ordinary differential equations.; Generate a list of restriction enzyme cut sites for a given DNA sequence and suggest cloning strategies.; Analyze a metabolic pathway to identify rate-limiting steps and propose enzyme overexpression targets.; Convert a natural protein sequence into a codon-optimized version for expression in E. coli.; Design primers for Gibson assembly of a multi-gene construct from provided plasmid backbones..