# Genomic Intelligence

Predict regulatory features, gene structure, and expression directly from DNA sequence...

- Repository: https://github.com/synthetic-sciences/openscience (4321 stars)
- Category: AI and agents
- License: MIT
- Last updated: 2026-10-30
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add synthetic-sciences/openscience --skill genomic-intelligence -g -a claude-code -y`
Codex: `npx skills add synthetic-sciences/openscience --skill genomic-intelligence -g -a codex -y`
Cursor: `npx skills add synthetic-sciences/openscience --skill genomic-intelligence -g -a cursor -y`
Gemini CLI: `npx skills add synthetic-sciences/openscience --skill genomic-intelligence -g -a gemini-cli -y`

## Description

Predict regulatory features, gene structure, and expression directly from DNA sequence using Genomic Intelligence's hosted transformer DNA language models, no local GPU or model weights. Six tasks over a REST API and a hosted MCP server (keyless public demo): promoter regions, splice donor/acceptor sites, enhancer activity, chromatin state, sequence-to-expression (log TPM), and de-novo gene annotation, plus a composite find-genes-then-predict-expression workflow. Use when the user has a gene symbol, a genomic region, or a DNA/FASTA sequence and wants any of these predictions, mentions Genomic Intelligence, genomicintelligence.ai, api.genomicintelligence.ai, or mcp.genomicintelligence.ai.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Genomic Intelligence, DNA Sequence Models

Genomic Intelligence (GI) serves transformer DNA language models over six
sequence-analysis tasks on managed GPUs. Give it a **gene symbol**, a **genomic
region**, or a **DNA/FASTA sequence**; it returns structured predictions, promoter regions, splice sites, enhancer activity, chromatin state, expression
(log TPM), and de-novo gene annotation. Nothing runs locally: no model weights,
no GPU, no heavy Python stack. It is a thin client over a hosted, versioned
inference API.

**Official docs:** [docs.genomicintelligence.ai](https://docs.genomicintelligence.ai) ·
REST contract at [api.genomicintelligence.ai/v1/openapi.json](https://api.genomicintelligence.ai/v1/openapi.json) ·
hosted MCP server at `https://mcp.genomicintelligence.ai/mcp`

## When to use this skill

Use GI when the user has DNA and wants a model prediction:

- **Find promoters** in a genomic region (`promoter`)
- **Predict splice** donor/acceptor sites (`splice`)
- **Score enhancer activity**, developmental & housekeeping (`enhancer`)
- **Annotate chromatin state** across hundreds of tracks (`chromatin`)
- **Predict expression** as log(TPM+1) from a sequence + cell-type context (`expression`)
- **Annotate genes/transcripts** de novo, no reference needed (`annotation`)
- **Find the genes in a region and predict each one's expression** (composite)

Not for local alignment, variant calling, or file I/O, use a local tool
(BioPython, bcftools) for those. GI is for **model inference from sequence**.

> Research and development use. Not for clinical or diagnostic decisions.

## Two ways to call GI

### Hosted MCP server (keyless; preferred on MCP hosts)

The rest: https://github.com/synthetic-sciences/openscience/blob/HEAD/backend/cli/skills/biology/genomic-intelligence/SKILL.md