Transformers
K-Dense-AI/scientific-agent-skills
Hugging Face Transformers for loading Hub models, running pipeline inference, text generation, and Trainer fine-tuning on NLP, vision, audio, and multimodal tasks.
Agent skill
Mat Phase Field Non Conservative
Simulate non-conservative phase-fields (grain growth and phase transformations) using the Allen-Cahn equation.
MITAuto-check passed
Install Mat Phase Field Non Conservative
$ npx skills add learningmatter-mit/AtomisticSkills --skill mat-phase-field-non-conservative -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install learningmatter-mit/AtomisticSkills mat-phase-field-non-conservative --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-phase-field-non-conservative .claude/skills/mat-phase-field-non-conservative && 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-phase-field-non-conservative" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/mat-phase-field-non-conservative into .claude/skills/mat-phase-field-non-conservative/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mat-phase-field-non-conservative", 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-phase-field-non-conservativeType 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-phase-field-non-conservative -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install learningmatter-mit/AtomisticSkills mat-phase-field-non-conservative --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-phase-field-non-conservative .agents/skills/mat-phase-field-non-conservative && 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-phase-field-non-conservative" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/mat-phase-field-non-conservative into .agents/skills/mat-phase-field-non-conservative/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mat-phase-field-non-conservative", 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-phase-field-non-conservative -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install learningmatter-mit/AtomisticSkills mat-phase-field-non-conservative --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-phase-field-non-conservative .cursor/skills/mat-phase-field-non-conservative && 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-phase-field-non-conservative" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/mat-phase-field-non-conservative into .cursor/skills/mat-phase-field-non-conservative/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mat-phase-field-non-conservative", 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-phase-field-non-conservative--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-phase-field-non-conservative -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install learningmatter-mit/AtomisticSkills mat-phase-field-non-conservative --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-phase-field-non-conservative .gemini/skills/mat-phase-field-non-conservative && 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-phase-field-non-conservative" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/mat-phase-field-non-conservative into .gemini/skills/mat-phase-field-non-conservative/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mat-phase-field-non-conservative", 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-phase-field-non-conservativeInstalls 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-phase-field-non-conservative -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-phase-field-non-conservative .github/skills/mat-phase-field-non-conservative && 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-phase-field-non-conservative" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/mat-phase-field-non-conservative into .github/skills/mat-phase-field-non-conservative/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mat-phase-field-non-conservative", 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-phase-field-non-conservative -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-phase-field-non-conservative --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-phase-field-non-conservative .opencode/skills/mat-phase-field-non-conservative && 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-phase-field-non-conservative" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/mat-phase-field-non-conservative into .opencode/skills/mat-phase-field-non-conservative/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mat-phase-field-non-conservative", 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-phase-field-non-conservative- GitHub stars
- 176
- Token cost
- ~812 tokens
- SKILL.md length
- 329 words
- Files
- 8 (incl. scripts)
- Skills in repo
- 129
- Repo updated
- First seen
- Licence
- MIT
At a glance
Simulate non-conservative phase-fields (grain growth and phase transformations) using the Allen-Cahn equation.
- Works in 2 steps: Mathematical Formulation → Running Curvature-Driven Grain Growth
- SKILL.md covers Goal, Instructions, Examples and Constraints, plus 1 more section
- Runs Python scripts from its folder
What it does
Mat Phase Field Non Conservative is an agent skill from learningmatter-mit/AtomisticSkills. Simulate non-conservative phase-fields (grain growth and phase transformations) using the Allen-Cahn equation.
Its SKILL.md is about 810 tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts (for example `examples/benchmark-dendrite/README.md`, `examples/benchmark-grain/README.md` and `scripts/run_dendrite_growth.py`).
The repository describes itself as: Integrating AtomisticSkills into Agentic IDEs (Cursor, Claude Code, Codex, Google Antigravity, Hermes Agent, etc). The licence is MIT.
Example prompts
- “/mat-phase-field-non-conservative”
Requirements
- Python 3
Workflow steps
2 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 2 files 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.org
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 Phase Field Non Conservative loads about 812 tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 329 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). 329 words, ~812 tokens.
Download SKILL.mdSave it as
.claude/skills/mat-phase-field-non-conservative/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.- name
- mat-phase-field-non-conservative
- description
- Simulate non-conservative phase-fields (grain growth and phase transformations) using the Allen-Cahn equation.
- metadata.category
- materials
- metadata.venv
- cpu
Non-Conservative Phase-Field: Allen-Cahn
Goal
To simulate the morphological evolution of structural transformations (like solidification, melting, or curvature-driven grain growth) using the Allen-Cahn (time-dependent Ginzburg-Landau) equation. This tracks a non-conservative order parameter $\phi$ which distinguishes between phases (e.g., solid vs. liquid).
Instructions
1. Mathematical Formulation
The Allen-Cahn equation describes the evolution of a non-conserved order parameter $\phi$ down a free energy gradient: $$ \frac{\partial \phi}{\partial t} = -M \frac{\delta F}{\delta \phi} = M \left( \epsilon^2 \nabla^2 \phi - \frac{\partial f(\phi)}{\partial \phi} \right) $$ Where $M$ is the mobility, $\epsilon$ is the gradient energy coefficient controlling the interface thickness, and $f(\phi) = W \phi^2(1-\phi)^2$ is the double-well potential barrier between the two phases ($\phi=0$ and $\phi=1$).
Unlike Cahn-Hilliard, Allen-Cahn does not conserve the integral of $\phi$. It naturally drives systems to reduce their total interfacial area, resulting in curvature-driven boundary migration.
2. Running Curvature-Driven Grain Growth
Use the provided script to set up a 2D grid containing a circular solid grain in a liquid matrix and observe its capillarity-driven shrinkage.
${CLAUDE_SKILL_DIR}/../../venv/run cpu python ${CLAUDE_SKILL_DIR}/scripts/run_grain_growth.py \
--grid-size 100 \
--radius 30 \
--steps 200 \
--dt 0.1 \
--output grain_growth.gifParameters:
--grid-size: Number of grid points per dimension (e.g.,100for a 100x100 2D grid).--radius: Initial radius of the circular grain in grid units.--steps: Total number of time steps to run.--dt: Time step size.--output: Filepath to save the resulting.gifanimation or.png.
Examples
Classic Shrinking Circular Grain
A universal mathematical benchmark for the Allen-Cahn equation is proving that a circular domain shrinks at a rate proportional to its curvature (the $v = M \gamma K$ law). The area of the circle must decrease linearly with time.
${CLAUDE_SKILL_DIR}/../../venv/run cpu python ${CLAUDE_SKILL_DIR}/scripts/run_grain_growth.py \
--grid-size 100 \
--radius 35 \
--steps 300 \
--dt 0.5 \
--output examples/benchmark-grain/classic_shrinking_grain.gifSee the examples/benchmark-grain/README.md for the expected output.
Constraints
- Environments: Scripts require the
cpuenvironment. Each code block MUST specify the environment. - Interface Thickness: The spatial resolution
dxmust be small enough to resolve the diffuse interface (typically requiring at least 4-5 grid points across the interface controlled by $\epsilon$).
References
- Allen, S. M., & Cahn, J. W., "A macroscopic theory for antiphase boundary motion and its application to antiphase domain coarsening", Acta Metallurgica, 1979. DOI
Author: Bowen Deng
© 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 7 other files (scripts) in skills/mat-phase-field-non-conservative of learningmatter-mit/AtomisticSkills.
- SKILL.md
- examples/benchmark-dendrite/README.md
- examples/benchmark-dendrite/dendrite.gif
- examples/benchmark-grain/README.md
- examples/benchmark-grain/grain_growth.gif
- examples/benchmark-grain/grain_growth_area_decay.png
- scripts/run_dendrite_growth.py
- scripts/run_grain_growth.py
Open the folder on GitHubat commit 6257444
Compare with similar skills
Mat Phase Field Non Conservative 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 Phase Field Non Conservative this skilllearningmatter-mit/AtomisticSkills | 176 | — | ~812 | Automated safety check: Pass | MIT | |
| TransformersK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~2.8k | Automated safety check: Notes | Apache-2.0 | |
| Esign Field Placementaffaan-m/ECC | 275k | — | ~2.6k | Automated safety check: Pass | MIT | |
| Hugging Face Transformers Usagedavila7/claude-code-templates | 32k | 12 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Eas Simulatorsickn33/agentic-awesome-skills | 47k | 1 repos | ~6k | Automated safety check: Notes | MIT | |
| Transformers JSsickn33/agentic-awesome-skills | 47k | 1 repos | ~444 | Automated safety check: Pass | Apache-2.0 |
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Questions about Mat Phase Field Non Conservative
What does Mat Phase Field Non Conservative do?
Simulate non-conservative phase-fields (grain growth and phase transformations) using the Allen-Cahn equation. Mat Phase Field Non Conservative is an agent skill from learningmatter-mit/AtomisticSkills. Simulate non-conservative phase-fields (grain growth and phase transformations) using the Allen-Cahn equation.
How do I install Mat Phase Field Non Conservative in Claude Code?
Run `npx skills add learningmatter-mit/AtomisticSkills --skill mat-phase-field-non-conservative -a claude-code`. Or copy the skill folder (skills/mat-phase-field-non-conservative in learningmatter-mit/AtomisticSkills) into .claude/skills/mat-phase-field-non-conservative in your project. Claude Code loads it when a task matches its description.
How do I install Mat Phase Field Non Conservative in Codex?
Run `npx skills add learningmatter-mit/AtomisticSkills --skill mat-phase-field-non-conservative -a codex`. Or copy the skill folder (skills/mat-phase-field-non-conservative in learningmatter-mit/AtomisticSkills) into .agents/skills/mat-phase-field-non-conservative in your project. Codex loads it when a task matches its description.
Can I use Mat Phase Field Non Conservative 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-phase-field-non-conservative -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-phase-field-non-conservative, .gemini/skills/mat-phase-field-non-conservative, .github/skills/mat-phase-field-non-conservative and .opencode/skills/mat-phase-field-non-conservative in your project.
What does Mat Phase Field Non Conservative need to run?
Going by SKILL.md and its folder, Mat Phase Field Non Conservative needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Mat Phase Field Non Conservative access the network?
SKILL.md names 1 domain. As links in the text: doi.org. This is read from the text; nothing was executed.
Is Mat Phase Field Non Conservative 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 Phase Field Non Conservative use?
Mat Phase Field Non Conservative 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 Phase Field Non Conservative use?
About 812 tokens (SKILL.md is roughly 3.2k 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 Phase Field Non Conservative?
Skills that share tags, products or a category with Mat Phase Field Non Conservative: Transformers (K-Dense-AI/scientific-agent-skills, 48k stars), Esign Field Placement (affaan-m/ECC, 275k stars), Hugging Face Transformers Usage (davila7/claude-code-templates, 32k stars) and Eas Simulator (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Mat Phase Field Non Conservative?
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.