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kalarislabs/research-agent-skills

v1.1.1MIT

281 Agent Skills for researchers: scientific and research paper writing, journal formats, literature review, citations, data science, ML research and domain science.

cobrapy

Runs constraint-based metabolic modeling with COBRApy (Python, import cobra) on genome-scale models in SBML, JSON, YAML, or MATLAB format. Covers FBA, pFBA, geometric FBA, FVA, flux sampling, gene and reaction knockouts, production envelopes, growth media, gapfilling, and building models. Use when loading or exporting a genome-scale metabolic model. Use when predicting growth or flux distributions with FBA or FVA. Use when screening gene or reaction knockouts. Use when tuning growth media or exchange constraints. Use when gap-filling an infeasible model or checking model consistency. Not for kinetic or ODE-based simulation of metabolism.

Version
1.3
License
GPL-2.0 license
Compatibility
Requires Python 3.9+ (cobra 0.30+ dropped 3.8). Install with uv pip install. GLPK (swiglpk) is the default solver; CPLEX/Gurobi optional. load_model fetches from bundled data, BiGG, or BioModels (network required for remote models).
Read SKILL.md at the source

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Pre-approved tools experimental

Experimental field. Support varies between clients, so this list is what the author declared, not what your client will enforce.

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