Agent skill

bio-systems-biology-flux-balance-analysis

Perform flux balance analysis (FBA) and flux variability analysis (FVA) on genome-scale metabolic models using COBRApy. Predict growth rates, metabolic fluxes, and optimal resource utilization. Use when predicting metabolic phenotypes or optimizing flux distributions.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeships scriptsNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill flux-balance-analysis --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 6 KB
Bundled scripts: yes
Path: skills/bioskills/flux-balance-analysis/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## Version Compatibility Reference examples tested with: COBRApy 0.29+ Before using code patterns, verify installed versions match. If versions differ: - Python: `pip show <package>` then `help(module.function)` to check signatures If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # Flux Balance Analysis **"Predict growth rate and metabolic fluxes for my organism"** → Solve a linear program over a genome-scale metabolic model to find the optimal flux distribution that maximizes biomass (or a custom objective), and assess flux ranges with FVA. - Python: `model.optimize()`, `cobra.flux_analysis.flux_variability_analysis()` (COBRApy) ## Load Models ```python import cobra # Load built-in test models model = cobra.io.load_model('textbook') # E. coli core (95 reactions) model = cobra.io.load_model('iJO1366') # Full E. coli (2583 reactions) # Load from file model = cobra.io.read_sbml_model('model.xml') model = cobra.io.load_json_model('model.json') # BiGG models available at: http://bigg.ucsd.edu/models ``` ## Basic FBA **Goal:** Predict optimal metabolic flux distributions and gro

What's inside
Steps it walks through
  1. Version Compatibility
  2. Load Models
  3. Basic FBA
  4. Set Media Conditions
  5. Flux Variability Analysis (FVA)
  6. Production Envelope
  7. Phenotype Phase Plane
  8. Parsimonious FBA (pFBA)
  9. Loopless FBA
  10. Related Skills
Ships with 2 files
  • examples/fba_analysis.py
  • usage-guide.md
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About this skill
What does the bio-systems-biology-flux-balance-analysis skill do?

Perform flux balance analysis (FBA) and flux variability analysis (FVA) on genome-scale metabolic models using COBRApy. Predict growth rates, metabolic fluxes, and optimal resource utilization. Use when predicting metabolic phenotypes or optimizing flux distributions.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill flux-balance-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going