Simulates lithium-ion battery charge, discharge and rest experiments with PyBaMM, records parameter-set provenance, checks mesh and solver sensitivity, and compares predicted voltage curves with measured cycling data. Use for SPM or DFN electrochemical battery modeling, C-rate protocols, voltage cutoffs, parameter studies and numerical validation of battery simulations.
安装
npx skills add K-Dense-AI/scientific-agent-skills --skill pybammnpx skills add K-Dense-AI/scientific-agent-skills --skill pybamm -a claude-code -gnpx skills add K-Dense-AI/scientific-agent-skills --skill pybamm -a codex -ggemini skills install https://github.com/K-Dense-AI/scientific-agent-skills.git --path skills/pybammgh skill install K-Dense-AI/scientific-agent-skills pybammgit clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills /tmp/K-Dense-AI__scientific-agent-skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/K-Dense-AI__scientific-agent-skills/skills/pybamm ~/.claude/skills/pybamm # Claude Code
cp -R /tmp/K-Dense-AI__scientific-agent-skills/skills/pybamm ~/.agents/skills/pybamm # Codex, Cursor, Gemini CLI, Copilot, OpenCode