Calculate order-of-magnitude oxygen demand and membrane area for bioreactor feasibility.
npx skills add https://github.com/dangeles/claude --skill calculator-dangeles
Please help me install this Agent Skill. Skill: calculator Source: https://github.com/dangeles/claude/tree/main/claude-config/skills/calculator Command: npx skills add https://github.com/dangeles/claude --skill calculator-dangeles
The Calculator skill provides rapid, back-of-envelope feasibility checks and structured quantitative modeling to validate design assumptions and identify limiting factors.
Provide a back-of-envelope feasibility check for a specified scenario by supplying: total cells, per-cell OCR, diffusion coefficient, and geometry; the AI should output order-of-magnitude oxygen demand and the required membrane area with a brief feasibility verdict.
High-intent search queries and answers about installing and using this skill.
To calculate oxygen demand for a bioreactor feasibility check, input the total cell count and per-cell oxygen consumption rate (OCR). The tool outputs an order-of-magnitude O2 demand estimate to validate if your design assumptions meet baseline metabolic requirements.
Back-of-envelope bioreactor mass transfer calculations require total cells, per-cell OCR, diffusion coefficients, and geometric parameters. Providing these inputs yields the required membrane area and a concise feasibility verdict for rapid design assessments.
Use a back-of-envelope calculation for rapid bioreactor design assessments when quick guidance is needed and a detailed model is unavailable. It helps identify limiting factors like oxygen delivery and decide whether to push for a detailed model or pivot the design.
Yes, you can assess membrane area requirements by supplying geometric parameters and diffusion coefficients to the parametric model. It applies transparent assumptions to output the required membrane area and an order-of-magnitude oxygen delivery feasibility verdict.
Yes, the calculator supports sensitivity analysis for oxygen delivery by building simple models with transparent assumptions. This structured quantitative modeling helps validate design parameters and identify limiting mass transfer factors.
Order-of-magnitude estimates for bioreactor design are limited to rapid feasibility checks and identifying limiting factors early. They provide quick guidance on oxygen demand and mass transfer but do not replace the rigorous validation of a detailed model.
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