genomespot-predictions

Name: genomespot-predictions
Availability: InStock
Author: Cultivarium

Fetch GenomeSPOT-predicted growth conditions for NCBI assembly accessions or species.

1|Updated Apr 29, 2026

Search Tags:#temperature #oxygen #genomespot #growth-conditions #ph #salinity #genome-accession

Ready to run

npx skills add https://github.com/cultivarium/hermes-starter-kit --skill genomespot-predictions

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: genomespot-predictions
Source: https://github.com/cultivarium/hermes-starter-kit/tree/main/skills/genomespot-predictions
Command: npx skills add https://github.com/cultivarium/hermes-starter-kit --skill genomespot-predictions

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Quickly determine GenomeSPOT-predicted growth conditions for a sequenced genome by its NCBI assembly accession, enabling rapid assessment of thermophiles, psychrophiles, halophiles, alkaliphiles, and anaerobes from genome data.

Core Features & Use Cases

Genome-to-prediction mapping: fetches predicted optimum/minimum/maximum growth temperature, pH, salinity, and oxygen tolerance for a genome.
Broad applicability: supports queries by NCBI assembly accession (GCA/GCF) or species, and helps identify growth traits across thousands of genomes.
Cross-reference with CVM strains: aligns CVM strain accessions to their genome predictions for quick downstream analyses.

Quick Start

Please fetch the GenomeSPOT growth predictions for genome accession GCA_000000000.1.

Frequently Asked Questions about genomespot-predictions

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I predict optimal growth temperature and pH for a genome using its NCBI accession?▼

To predict optimal growth temperature and pH, provide the NCBI assembly accession (GCA_ or GCF_ prefix). The Skill queries GenomeSPOT predictions from downloadable CSV files to return minimum, maximum, and optimum growth conditions.

What is GenomeSPOT and how does it determine oxygen tolerance and salinity from genome data?▼

GenomeSPOT predicts microbial growth conditions like oxygen tolerance and salinity directly from genome sequences. It maps NCBI assembly accessions to predicted values stored in compressed CSV files with reference docs for interpreting confidence tiers.

Can I look up growth conditions for a specific species instead of using a genome accession number?▼

Yes, you can query predicted growth conditions by species name. The Skill supports fetching temperature, pH, salinity, and oxygen tolerance predictions using either species identifiers or NCBI assembly accessions.

How do I identify thermophiles, halophiles, or anaerobes from a list of genome sequences?▼

Identify thermophiles, halophiles, and anaerobes by querying the predicted temperature, salinity, and oxygen tolerance files. The Skill applies GenomeSPOT predictions across thousands of genomes using their NCBI accessions.

How do I interpret confidence tiers for GenomeSPOT growth condition predictions?▼

Interpret confidence tiers by reading the reference documentation bundled with the predicted temperature, pH, salinity, and oxygen CSV files. These docs explain the column meanings and confidence levels for the genome predictions.