What it does. Estimates intracellular metabolic fluxes from steady-state carbon-13 isotope-tracing measurements using validated atom maps, mfapy isotope simulation, constrained multistart fitting, and flux-profile
Carbon-13 metabolic flux inference
Turn reviewed carbon maps, explicit tracer mixtures, and corrected labeling measurements
into feasible flux estimates and evidence about which fluxes the experiment constrains.
Use the bundled solver rather than reconstructing isotope balances or fitting each
reaction independently. It runs mfapy's EMU forward simulator and fits fluxes in the
mass-balanced feasible space with SciPy. It does not use an FBA objective.
Scope and required evidence
This implementation supports metabolic and isotopic steady state, a single shared
flux state across one
Install
npx skills add K-Dense-AI/scientific-agent-skills --skill 13c-metabolic-flux
Or copy the skill folder manually:
git clone https://github.com/K-Dense-AI/scientific-agent-skills.git
cp -r scientific-agent-skills/skills/13c-metabolic-flux/ ~/.claude/skills/13c-metabolic-flux
Source: K-Dense-AI/scientific-agent-skills — 53,758 stars, MIT, verified 2026-10-22.