Chdb Datastore
vemetric/vemetric
A skill your agent uses when the user has tabular data (pandas DataFrame, parquet, csv, Arrow, json) and wants to filter, group, aggregate, join, or speed up slow pandas.
Calculate the spontaneous ferroelectric polarization across a non-polar to polar structure transition using the Berry Phase method.
Install Mat Dft Ferroelectric
$ npx skills add learningmatter-mit/AtomisticSkills --skill mat-dft-ferroelectric -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install learningmatter-mit/AtomisticSkills mat-dft-ferroelectric --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/mat-dft-ferroelectric .claude/skills/mat-dft-ferroelectric && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "mat-dft-ferroelectric" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/mat-dft-ferroelectric into .claude/skills/mat-dft-ferroelectric/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mat-dft-ferroelectric", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/mat-dft-ferroelectricType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add learningmatter-mit/AtomisticSkills --skill mat-dft-ferroelectric -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install learningmatter-mit/AtomisticSkills mat-dft-ferroelectric --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/mat-dft-ferroelectric .agents/skills/mat-dft-ferroelectric && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mat-dft-ferroelectric" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/mat-dft-ferroelectric into .agents/skills/mat-dft-ferroelectric/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mat-dft-ferroelectric", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add learningmatter-mit/AtomisticSkills --skill mat-dft-ferroelectric -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install learningmatter-mit/AtomisticSkills mat-dft-ferroelectric --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/mat-dft-ferroelectric .cursor/skills/mat-dft-ferroelectric && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "mat-dft-ferroelectric" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/mat-dft-ferroelectric into .cursor/skills/mat-dft-ferroelectric/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mat-dft-ferroelectric", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/learningmatter-mit/AtomisticSkills.git --path skills/mat-dft-ferroelectric--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add learningmatter-mit/AtomisticSkills --skill mat-dft-ferroelectric -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install learningmatter-mit/AtomisticSkills mat-dft-ferroelectric --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/mat-dft-ferroelectric .gemini/skills/mat-dft-ferroelectric && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "mat-dft-ferroelectric" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/mat-dft-ferroelectric into .gemini/skills/mat-dft-ferroelectric/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mat-dft-ferroelectric", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install learningmatter-mit/AtomisticSkills mat-dft-ferroelectricInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add learningmatter-mit/AtomisticSkills --skill mat-dft-ferroelectric -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/mat-dft-ferroelectric .github/skills/mat-dft-ferroelectric && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "mat-dft-ferroelectric" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/mat-dft-ferroelectric into .github/skills/mat-dft-ferroelectric/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mat-dft-ferroelectric", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add learningmatter-mit/AtomisticSkills --skill mat-dft-ferroelectric -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install learningmatter-mit/AtomisticSkills mat-dft-ferroelectric --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/mat-dft-ferroelectric .opencode/skills/mat-dft-ferroelectric && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "mat-dft-ferroelectric" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/mat-dft-ferroelectric into .opencode/skills/mat-dft-ferroelectric/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mat-dft-ferroelectric", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
mat-dft-ferroelectric- GitHub stars
- 176
- Token cost
- ~738 tokens
- SKILL.md length
- 292 words
- Files
- 4 (incl. scripts)
- Skills in repo
- 129
- Repo updated
- First seen
- Licence
- MIT
At a glance
Calculate the spontaneous ferroelectric polarization across a non-polar to polar structure transition using the Berry Phase method.
- Works in 3 steps: Construct the Ferroelectric Workflow → Job Execution → Parse Polarization
- Tasks that involve DataFrames
- SKILL.md covers Goal, Background, Instructions and Examples, plus 2 more sections
- Runs Python scripts from its folder
What it does
Mat Dft Ferroelectric is an agent skill from learningmatter-mit/AtomisticSkills. Calculate the spontaneous ferroelectric polarization across a non-polar to polar structure transition using the Berry Phase method.
Its SKILL.md is about 740 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `examples/BaTiO3/README.md`, `examples/BaTiO3/batio3_flow.json` and `scripts/generate_inputs.py`).
It sits in Data & Analytics, covering DataFrames. The repository describes itself as: Integrating AtomisticSkills into Agentic IDEs (Cursor, Claude Code, Codex, Google Antigravity, Hermes Agent, etc). The licence is MIT.
When your agent uses it
- Tasks that involve DataFrames
Example prompts
- “/mat-dft-ferroelectric”
Requirements
- Python 3
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 6257444. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
doi.orggithub.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Mat Dft Ferroelectric loads about 738 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 292 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from learningmatter-mit/AtomisticSkills at commit 6257444, republished under its MIT licence (© learningmatter-mit). 292 words, ~738 tokens.
Download SKILL.mdSave it as
.claude/skills/mat-dft-ferroelectric/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- mat-dft-ferroelectric
- description
- Calculate the spontaneous ferroelectric polarization across a non-polar to polar structure transition using the Berry Phase method.
- metadata.category
- materials
- metadata.venv
- cpu
mat-dft-ferroelectric
Goal
To calculate the spontaneous polarization ($P_s$) of a ferroelectric material. Because bulk polarization is a multi-valued quantum quantity (only differences in polarization are well-defined), this skill evaluates the continuous evolution of the Berry phase starting from a high-symmetry (centrosymmetric, non-polar) reference state and progressing via linear interpolation to the low-symmetry (polar) state.
Background
Material spontaneous polarization arises when positive and negative charge centers separate, breaking inversion symmetry. By linearly mixing the atomic positions between a cubic (non-polar) and tetragonal (polar) phase, we calculate the Berry phase for electrons across the geometric path. FerroelectricMaker automates the generation of these intermediate supercells, runs VASP with LCALCPOL=True, and stitches the branches together to avoid quantum jump discontinuities.
Instructions
1. Construct the Ferroelectric Workflow
Use the provided script to generate the sequence of calculation jobs evaluating the polarization across interpolated intermediate structures.
${CLAUDE_SKILL_DIR}/../../venv/run cpu python ${CLAUDE_SKILL_DIR}/scripts/generate_inputs.py --output ferroelectric_flow.json2. Job Execution
The default script simply serializes the theoretical Directed Acyclic Graph (DAG) for structural reference. Run it locally via jobflow.run_locally(flow) if VASP is available, or dispatch it to Fireworks.
3. Parse Polarization
The final job merges the electronic polarization and ionic dipoles for each intermediate image, tracing the quantum branches. Extract the total polarization (in $\mu\text{C}/\text{cm}^2$) from the terminal task document.
Examples
Run the example demonstrating the DAG generation for Barium Titanate (BaTiO$_3$).
cd ${CLAUDE_SKILL_DIR}/examples/BaTiO3
${CLAUDE_SKILL_DIR}/../../venv/run cpu python ../../scripts/generate_inputs.py --output batio3_flow.jsonConstraints
- Environments: Scripts require the
cpuenvironment. - Reference State Requirement: The user must provide both a chemically identical polar and non-polar (reference) structure.
- Continuous Mapping: The atoms in the polar structure must map one-to-one to the non-polar structure without crossing periodic boundaries incorrectly. Large arbitrary translations will break the Berry phase continuity assumption.
References
- King-Smith, R. D., & Vanderbilt, D. "Theory of polarization of crystalline solids", Phys. Rev. B, 47, 1651 (1993). DOI
Author: Bowen Deng Contact: GitHub
© learningmatter-mit, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files (scripts) in skills/mat-dft-ferroelectric of learningmatter-mit/AtomisticSkills.
- SKILL.md
- examples/BaTiO3/README.md
- examples/BaTiO3/batio3_flow.json
- scripts/generate_inputs.py
Open the folder on GitHubat commit 6257444
Compare with similar skills
Mat Dft Ferroelectric next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Mat Dft Ferroelectric this skilllearningmatter-mit/AtomisticSkills | 176 | — | ~738 | Automated safety check: Pass | MIT | |
| Chdb Datastorevemetric/vemetric | 394 | 2 repos | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Polar Python SDKpolarsource/polar | 10k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Polar Typescript SDKpolarsource/polar | 10k | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| CSV Data Summarizercoffeefuelbump/csv-data-summarizer-claude-skill | 468 | 2 repos | ~1.4k | Automated safety check: Pass | None | |
| Paper FiguresEvoScientist/EvoSkills | 475 | 1 repos | ~4.4k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Mat Dft Ferroelectric
What does Mat Dft Ferroelectric do?
Calculate the spontaneous ferroelectric polarization across a non-polar to polar structure transition using the Berry Phase method. Mat Dft Ferroelectric is an agent skill from learningmatter-mit/AtomisticSkills. Calculate the spontaneous ferroelectric polarization across a non-polar to polar structure transition using the Berry Phase method.
When should I use Mat Dft Ferroelectric?
Mat Dft Ferroelectric fits situations like: tasks that involve DataFrames.
How do I install Mat Dft Ferroelectric in Claude Code?
Run `npx skills add learningmatter-mit/AtomisticSkills --skill mat-dft-ferroelectric -a claude-code`. Or copy the skill folder (skills/mat-dft-ferroelectric in learningmatter-mit/AtomisticSkills) into .claude/skills/mat-dft-ferroelectric in your project. Claude Code loads it when a task matches its description.
How do I install Mat Dft Ferroelectric in Codex?
Run `npx skills add learningmatter-mit/AtomisticSkills --skill mat-dft-ferroelectric -a codex`. Or copy the skill folder (skills/mat-dft-ferroelectric in learningmatter-mit/AtomisticSkills) into .agents/skills/mat-dft-ferroelectric in your project. Codex loads it when a task matches its description.
Can I use Mat Dft Ferroelectric in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add learningmatter-mit/AtomisticSkills --skill mat-dft-ferroelectric -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mat-dft-ferroelectric, .gemini/skills/mat-dft-ferroelectric, .github/skills/mat-dft-ferroelectric and .opencode/skills/mat-dft-ferroelectric in your project.
What does Mat Dft Ferroelectric need to run?
Going by SKILL.md and its folder, Mat Dft Ferroelectric needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Mat Dft Ferroelectric access the network?
SKILL.md names 2 domains. As links in the text: doi.org and github.com. This is read from the text; nothing was executed.
Is Mat Dft Ferroelectric safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Mat Dft Ferroelectric use?
Mat Dft Ferroelectric is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Mat Dft Ferroelectric use?
About 738 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Mat Dft Ferroelectric?
Skills that share tags, products or a category with Mat Dft Ferroelectric: Chdb Datastore (vemetric/vemetric, 394 stars), Polar Python SDK (polarsource/polar, 10k stars), Polar Typescript SDK (polarsource/polar, 10k stars) and CSV Data Summarizer (coffeefuelbump/csv-data-summarizer-claude-skill, 468 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Mat Dft Ferroelectric?
learningmatter-mit (a GitHub organization) maintains it in learningmatter-mit/AtomisticSkills, which has 176 GitHub stars. The repository holds 129 skills in this directory. The repository was last updated on October 7, 2026.
Source: learningmatter-mit/AtomisticSkills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.