potential-analysis
This skill group covers electrostatic potential analysis from first-principles calculations.
npx skills add majiayu000/claude-skill-registry --skill potential-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
--- name: potential-analysis description: Potential Analysis (3 sub-skills: macroscopic-average, planar-average, work-function) --- # Potential Analysis ## Overview This skill group covers electrostatic potential analysis from first-principles calculations. It provides workflows for extracting, averaging, and interpreting the electrostatic potential from Quantum ESPRESSO and VASP outputs. These analyses are essential for work function calculations, band alignment at interfaces, and understanding interface dipoles. All workflows correspond to VASPKIT menu 42 (tasks 420--430). ## Sub-Skills | Sub-Skill | Directory | Description | |---|---|---| | Work Function | `work-function/` | Calculate work function from planar-averaged electrostatic potential. Vacuum level minus Fermi energy. QE: pp.x + average.x. VASP: LOCPOT parsing. | | Planar Average | `planar-average/` | Planar-average and macroscopic-average of charge density and potential along a chosen axis. QE: pp.x + average.x. VASP: LOCPOT/CHGCAR parsing. Line profiles along specified paths. | | Macroscopic Average | `macroscopic-average/` | Double (macroscopic) averaging technique for interface dipoles, band offsets, and heterojuncti
- Overview
- Sub-Skills
- When to Use
- General Prerequisites
What does the potential-analysis skill do?
This skill group covers electrostatic potential analysis from first-principles calculations.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill potential-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 majiayu000/claude-skill-registry, a repository with 534 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.
