# Evo2 Nim

Generate and analyze DNA sequences using NVIDIA's Evo 2 BioNeMo NIM microservice.

- Repository: https://github.com/NVIDIA/skills (3812 stars)
- Category: DevOps
- License: Apache-2.0 AND CC-BY-4.0
- Last updated: 2026-10-30
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add NVIDIA/skills --skill evo2-nim -g -a claude-code -y`
Codex: `npx skills add NVIDIA/skills --skill evo2-nim -g -a codex -y`
Cursor: `npx skills add NVIDIA/skills --skill evo2-nim -g -a cursor -y`
Gemini CLI: `npx skills add NVIDIA/skills --skill evo2-nim -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add NVIDIA/skills`

## Description

Generate and analyze DNA sequences using NVIDIA's Evo 2 BioNeMo NIM microservice. Use for Evo2/Evo 2, DNA generation, genomic sequence generation, hosted generation, local Docker deployment, local forward passes, layer outputs, logits, sampled probabilities, and BioNeMo NIM workflows.

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

# Evo 2 NIM

Use Evo 2 for DNA generation and, locally, layer-output extraction. Load
supplemental files only when needed:

- `references/api.md`: exact schemas, layer names, Docker flags, hardware notes.
- `references/science.md`: genomic use cases, limits, and interpretation.
- `references/parameters.md`: generation/forward parameter effects.
- `references/validation.md`: DNA, probability, timing, and tensor checks.
- `references/examples.md`: compact hosted/local request patterns.

## Instructions

For generation, use `scripts/generate.py` to execute the request, validate the
response, and save its artifacts. Resolve the script path relative to this
skill's directory and choose an output directory in the user's workspace.
Use the user's sequence and requested parameters; the example below is only
a smoke test.

1. Select the requested mode. For hosted generation, go directly to the
   generation example; Docker setup and local forward passes are separate tasks.
2. When the user asks to run generation, execute the client and inspect its
   exit status and result. Writing a script alone does not complete that request.
3. Report the generated DNA (or its file for long sequences), actual
   `elapsed_ms`, sampled-probability summary, seed, and artifact paths from the
   successful run. Read the saved response or metrics if any result is unclear.

If the request or validation fails, report the actual failure and any diagnostic
files. Do not replace an unavailable API response with example values. For a
code-only request, provide the command without making an inference call.

## Choose Mode

Honor `NIM_API_MODE` when it is set. Accepted values are `hosted` and `local`.
If it is unset, treat an explicit `EVO2_NIM_URL` as local; otherwise ask when
the requested mode is unclear:

> Hosted NVIDIA API or local Docker Evo 2 NIM?

The rest: https://github.com/NVIDIA/skills/blob/HEAD/skills/bionemo-evo2-nim/SKILL.md