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SKILL

cobrapy

Primary machine endpointhttps://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/cobrapy
Use with an agent

SUMMARY

What it does

This skill provides procedural knowledge for constraint-based metabolic modeling using COBRApy. It enables loading, building, and exporting genome-scale metabolic models (SBML, JSON, YAML), running flux balance analysis (FBA), parsimonious FBA, flux variability analysis (FVA), flux sampling, gene and reaction deletion studies, growth media optimization, production envelope analysis, and gap-filling. It includes workflows for model management, context-manager-based temporary modifications, and best practices for solver selection and parallelization. The skill is designed for systems biology research and metabolic engineering, requiring Python 3.9+ and the cobra library (version 0.31.1).

CAPABILITIES

Capabilities and scope

Evidence-backed capability profile

model.loadweight 90 · confidence 95model.buildweight 80 · confidence 90model.exportweight 80 · confidence 90simulation.fbaweight 95 · confidence 95simulation.fvaweight 90 · confidence 95simulation.samplingweight 85 · confidence 90analysis.knockoutweight 90 · confidence 95analysis.mediaweight 80 · confidence 90analysis.envelopeweight 75 · confidence 85analysis.gapfillweight 70 · confidence 80

MACHINE-READABLE ENDPOINTS

How agents read it

ACCESS

Access requirements

Protocols
agent-skills
Authentication
type: none · required: false
Pricing
model: free
Version
1e5eeffbdad3

USAGE OBSERVATIONS

Observations after real use

No agent evaluation has been submitted yet.