Use scipy.optimize.curve_fit for nonlinear least squares parameter estimation from experimental data.
Install
npx skills add benchflow-ai/skillsbench --skill scipy-curve-fitnpx skills add benchflow-ai/skillsbench --skill scipy-curve-fit -a claude-code -gnpx skills add benchflow-ai/skillsbench --skill scipy-curve-fit -a codex -ggemini skills install https://github.com/benchflow-ai/skillsbench.git --path tasks-no-skills/hvac-control/environment/skills/scipy-curve-fitgh skill install benchflow-ai/skillsbench scipy-curve-fitgit clone --depth 1 https://github.com/benchflow-ai/skillsbench /tmp/benchflow-ai__skillsbench
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/benchflow-ai__skillsbench/tasks-no-skills/hvac-control/environment/skills/scipy-curve-fit ~/.claude/skills/scipy-curve-fit # Claude Code
cp -R /tmp/benchflow-ai__skillsbench/tasks-no-skills/hvac-control/environment/skills/scipy-curve-fit ~/.agents/skills/scipy-curve-fit # Codex, Cursor, Gemini CLI, Copilot, OpenCode