k-dense-ai/scientific-agent-skills
pybamm
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.
Installation
npx skills add https://github.com/k-dense-ai/scientific-agent-skills
Similar popular skills
Related neighbors and high-traction skills in the same topics — useful to compare before installing.
Helps users discover and install agent skills when they ask questions like "how do I do X", "fi…
18.6K installsBrowser automation CLI for AI agents. Use when the user needs to interact with websites, includ…
11.9K installsReact and Next.js performance optimization guidelines from Vercel Engineering. This skill shoul…
3.7K installsReview UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "chec…
4.7K installsBuild, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and …
1.7K installsPrepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Te…
1.5K installsAlso in this package
Other skills from k-dense-ai/scientific-agent-skills · top by installs.
npx skills add k-dense-ai/scientific-agent-skills
More details
Agent compatibility
Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.
Repository health
main