DeePMD-kit and Deep Potential Molecular Dynamics workflows. An agent skill from JCLiuGroup/AI-Computational-Chemist.

Custom licenceAuto-check passedResearch & Science

Install Deepmd

skills CLI
$ npx skills add JCLiuGroup/AI-Computational-Chemist --skill deepmd -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install JCLiuGroup/AI-Computational-Chemist deepmd --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/JCLiuGroup/AI-Computational-Chemist.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tools/deepmd .claude/skills/deepmd && rm -rf skills-src

Use ~/.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/

Facts

Skill name
deepmd
GitHub stars
143
Used in
1 other repo
Token cost
~780 tokens
SKILL.md length
297 words
Files
11 (incl. scripts, references)
Skills in repo
21
Repo updated
First seen
Licence
Custom licence

At a glance

DeePMD-kit and Deep Potential Molecular Dynamics workflows. An agent skill from JCLiuGroup/AI-Computational-Chemist.

  • Works in 4 steps: Define the production domain,… → Convert and split data, configure… → Apply references/validation.md and… → …
  • Dpdata dataset conversion from VASP/CP2K
  • SKILL.md covers Required inputs, Route map, Workflow and Hard guardrails
  • Runs Python scripts from its folder

What it does

Deepmd is an agent skill from JCLiuGroup/AI-Computational-Chemist. DeePMD-kit and Deep Potential Molecular Dynamics workflows. Use for dpdata dataset conversion from VASP/CP2K, DeepMD input.json setup, dp train/freeze/compress/test, DP descriptor PCA/t-SNE dataset-distribution visualization, DP model deviation, DPLibrary reuse checks, and LAMMPS DPMD deployment.

Its SKILL.md is about 780 tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts and reference files (for example `examples/README.md`, `references/dataset-embedding.md` and `references/errors.md`).

It sits in Research & Science, covering Physical and earth sciences and Deployment.

When your agent uses it

  • Dpdata dataset conversion from VASP/CP2K
  • DeepMD input.json setup
  • Dp train/freeze/compress/test
  • DP descriptor PCA/t-SNE dataset-distribution visualization

Example prompts

  • “/deepmd”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Define the production domain, assemble/filter labels according to
  2. Convert and split data, configure input.json, then use
  3. Apply references/validation.md and scripts/check_deepmd_qa.py; expand data or
  4. Hand a passing or explicitly waived model to LAMMPS DPMD through hpc-submit, then

What it can do on your machine

Read from SKILL.md and the folder at commit e27b555. 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 4 files in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    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

Deepmd loads about 780 tokens when it runs, and up to ~11k if it reads all its reference files. Until then it costs about 76 tokens; SKILL.md has 297 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~780
With references · SKILL.md plus every file in references/, read only if the agent opens them
~11k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 297 words (~780 tokens).

name
deepmd

Read the full SKILL.md on GitHub

Files

SKILL.md and 10 other files (scripts, references) in tools/deepmd of JCLiuGroup/AI-Computational-Chemist.

  • SKILL.md
  • examples/README.md
  • references/dataset-embedding.md
  • references/errors.md
  • references/resources.md
  • references/running.md
  • references/validation.md
  • scripts/check_deepmd_qa.py
  • scripts/deepmd_descriptor_pca.py
  • scripts/plot_deepmd_postprocess.py
  • scripts/run_deepmd_chain.py

Open the folder on GitHubat commit e27b555

Used in 1 other repository

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in JCLiuGroup/AI-Computational-Chemist, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Deepmd 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.

Deepmd compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Deepmd this skillJCLiuGroup/AI-Computational-Chemist1431 repos~780Automated safety check: PassCustom licence
Mat Lammps Mdlearningmatter-mit/AtomisticSkills175—~1.2kAutomated safety check: PassMIT
Embodied AI NewsLeoYeAI/openclaw-master-skills2.2k—~4.8kAutomated safety check: PassMIT
Sensys Reproducibilitybrycewang-stanford/Awesome-Journal-Skills1.2k—~1.2kAutomated safety check: PassMIT
Sigcomm Experimentsbrycewang-stanford/Awesome-Journal-Skills1.2k—~988Automated safety check: PassMIT
AstropyzLanqing/codex-claude-academic-skills4.6k14 repos~2.9kAutomated safety check: PassBSD-3-Clause

Similar skills

  • Mat Lammps Md

    learningmatter-mit/AtomisticSkills

    Build and run LAMMPS molecular dynamics with isolated MLIP-specific binaries (MACE, MatGL/CHGNet, FairChem) to avoid Python and Torch stack conflicts.

    175 GitHub stars~1.2k tokensUpdated yesterday
    Research & ScienceAuto-check passed
  • Embodied AI News

    LeoYeAI/openclaw-master-skills

    Aggregates publicly available Embodied AI and Robotics news from curated sources (robotics media, arXiv, company blogs).

    2.2k GitHub stars~4.8k tokensUpdated 2 mo ago
    Research & ScienceAuto-check passed
  • Sensys Reproducibility

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when making a SenSys result reproducible across a different testbed — capturing energy-measurement method, hardware and firmware provenance, sensor ground-truth protocol, and…

    1.2k GitHub stars~1.2k tokensUpdated 10 days ago
    Research & ScienceAuto-check passed
  • Sigcomm Experiments

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when designing or auditing ACM SIGCOMM experiments — climbing the evidence ladder from microbenchmarks to testbed and trace replay to deployment, choosing baselines that…

    1.2k GitHub stars~988 tokensUpdated 10 days ago
    Research & ScienceAuto-check passed
  • Astropy

    zLanqing/codex-claude-academic-skills

    Comprehensive Python library for astronomy and astrophysics.

    4.6k GitHub starsUsed in 14 repos~2.9k tokens
    Research & ScienceAuto-check passed
  • Pymatgen

    zLanqing/codex-claude-academic-skills

    Materials science toolkit. An agent skill from zLanqing/codex-claude-academic-skills.

    4.6k GitHub starsUsed in 12 repos~5k tokens
    Research & ScienceAuto-check passed

More from JCLiuGroup/AI-Computational-Chemist

All 21 skills in this repo
  • Research Orchestrator

    JCLiuGroup/AI-Computational-Chemist

    Define and maintain machine-readable research project state for multi-stage computational chemistry work.

    143 GitHub starsUsed in 1 repo~1.8k tokens
    Auto-check passed
  • Comp Chem Workflow

    JCLiuGroup/AI-Computational-Chemist

    Entry point and controller for computational chemistry and materials workflows.

    143 GitHub starsUsed in 1 repo~1.4k tokens
    Auto-check passed
  • Cp2k

    JCLiuGroup/AI-Computational-Chemist

    Prepare, validate, run, and troubleshoot CP2K calculations for periodic and large molecular systems.

    143 GitHub starsUsed in 1 repo~1.7k tokens
    Auto-check passed
  • Gaussian

    JCLiuGroup/AI-Computational-Chemist

    Prepare, validate, and troubleshoot Gaussian molecular quantum chemistry jobs.

    143 GitHub starsUsed in 1 repo~1k tokens
    Auto-check passed
  • Gromacs

    JCLiuGroup/AI-Computational-Chemist

    Prepare, validate, run, resume, troubleshoot, and analyze GROMACS molecular dynamics.

    143 GitHub starsUsed in 1 repo~1.7k tokens
    Auto-check passed
  • Hpc Submit

    JCLiuGroup/AI-Computational-Chemist

    Submit, monitor, and recover computational chemistry jobs locally, over approved SSH targets, or through Slurm/PBS schedulers.

    143 GitHub starsUsed in 1 repo~878 tokens
    Auto-check passed

Questions about Deepmd

What does Deepmd do?

DeePMD-kit and Deep Potential Molecular Dynamics workflows. An agent skill from JCLiuGroup/AI-Computational-Chemist. Deepmd is an agent skill from JCLiuGroup/AI-Computational-Chemist. DeePMD-kit and Deep Potential Molecular Dynamics workflows.

When should I use Deepmd?

Deepmd fits situations like: dpdata dataset conversion from VASP/CP2K; deepMD input.json setup; dp train/freeze/compress/test; DP descriptor PCA/t-SNE dataset-distribution visualization.

How do I install Deepmd in Claude Code?

Run `npx skills add JCLiuGroup/AI-Computational-Chemist --skill deepmd -a claude-code`. Or copy the skill folder (tools/deepmd in JCLiuGroup/AI-Computational-Chemist) into .claude/skills/deepmd in your project. Claude Code loads it when a task matches its description.

How do I install Deepmd in Codex?

Run `npx skills add JCLiuGroup/AI-Computational-Chemist --skill deepmd -a codex`. Or copy the skill folder (tools/deepmd in JCLiuGroup/AI-Computational-Chemist) into .agents/skills/deepmd in your project. Codex loads it when a task matches its description.

Can I use Deepmd 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 JCLiuGroup/AI-Computational-Chemist --skill deepmd -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deepmd, .gemini/skills/deepmd, .github/skills/deepmd and .opencode/skills/deepmd in your project.

What does Deepmd need to run?

Going by SKILL.md and its folder, Deepmd needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Deepmd access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Deepmd 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 Deepmd use?

Deepmd has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Deepmd use?

About 780 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 10k tokens, read only when the agent opens those files.

What are the alternatives to Deepmd?

Skills that share tags, products or a category with Deepmd: Mat Lammps Md (learningmatter-mit/AtomisticSkills, 175 stars), Embodied AI News (LeoYeAI/openclaw-master-skills, 2.2k stars), Sensys Reproducibility (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars) and Sigcomm Experiments (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Deepmd?

JCLiuGroup (a GitHub organization) maintains it in JCLiuGroup/AI-Computational-Chemist, which has 143 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on September 27, 2026.

Source: JCLiuGroup/AI-Computational-Chemist on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.