genomic-intelligence
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
npx skills add K-Dense-AI/scientific-agent-skills --skill genomic-intelligence --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 contex
- When to use this skill
- Two ways to call GI
- Hosted MCP server (best for AI agents — keyless)
- REST API (universal)
- Access and authentication
- The six tasks
- Sequence acquisition
- Core REST workflow
- Async: annotation
- MCP workflow (handle-based)
- Composite: find genes, then predict expression
- Errors
- Reference files
export GI_API_KEY="gi_yourkeyhere" # optional for MCP; required for REST export GI_BASE_URL="https://api.genomicintelligence.ai" # override for staging
What does the genomic-intelligence skill do?
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
How do I install it?
Run `npx skills add K-Dense-AI/scientific-agent-skills --skill genomic-intelligence --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From K-Dense-AI/scientific-agent-skills, a repository with 32,619 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.