Journal Of Climate
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when targeting Journal of Climate or deciding whether a climate-dynamics or climate-variability manuscript fits this venue.
Agent skill
by jinzhezenggroup in jinzhezenggroup/computational-chemistry-agent-skills
Prepares and runs molecular dynamics simulations in LAMMPS with a DeePMD machine-learning potential, writing the input script and choosing NVE, NVT or NPT.
$ npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill lammps-deepmd -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jinzhezenggroup/computational-chemistry-agent-skills lammps-deepmd --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/jinzhezenggroup/computational-chemistry-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/molecular-dynamics/lammps-deepmd .claude/skills/lammps-deepmd && 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 "lammps-deepmd" agent skill from https://github.com/jinzhezenggroup/computational-chemistry-agent-skills/tree/master/molecular-dynamics/lammps-deepmd into .claude/skills/lammps-deepmd/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lammps-deepmd", 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/jinzhezenggroup/computational-chemistry-agent-skills/tree/master/molecular-dynamics/lammps-deepmdType 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 jinzhezenggroup/computational-chemistry-agent-skills --skill lammps-deepmd -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jinzhezenggroup/computational-chemistry-agent-skills lammps-deepmd --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jinzhezenggroup/computational-chemistry-agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/molecular-dynamics/lammps-deepmd .agents/skills/lammps-deepmd && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "lammps-deepmd" agent skill from https://github.com/jinzhezenggroup/computational-chemistry-agent-skills/tree/master/molecular-dynamics/lammps-deepmd into .agents/skills/lammps-deepmd/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lammps-deepmd", 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 jinzhezenggroup/computational-chemistry-agent-skills --skill lammps-deepmd -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jinzhezenggroup/computational-chemistry-agent-skills lammps-deepmd --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jinzhezenggroup/computational-chemistry-agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/molecular-dynamics/lammps-deepmd .cursor/skills/lammps-deepmd && 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 "lammps-deepmd" agent skill from https://github.com/jinzhezenggroup/computational-chemistry-agent-skills/tree/master/molecular-dynamics/lammps-deepmd into .cursor/skills/lammps-deepmd/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lammps-deepmd", 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/jinzhezenggroup/computational-chemistry-agent-skills.git --path molecular-dynamics/lammps-deepmd--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 jinzhezenggroup/computational-chemistry-agent-skills --skill lammps-deepmd -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jinzhezenggroup/computational-chemistry-agent-skills lammps-deepmd --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jinzhezenggroup/computational-chemistry-agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/molecular-dynamics/lammps-deepmd .gemini/skills/lammps-deepmd && 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 "lammps-deepmd" agent skill from https://github.com/jinzhezenggroup/computational-chemistry-agent-skills/tree/master/molecular-dynamics/lammps-deepmd into .gemini/skills/lammps-deepmd/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lammps-deepmd", 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 jinzhezenggroup/computational-chemistry-agent-skills lammps-deepmdInstalls 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 jinzhezenggroup/computational-chemistry-agent-skills --skill lammps-deepmd -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jinzhezenggroup/computational-chemistry-agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/molecular-dynamics/lammps-deepmd .github/skills/lammps-deepmd && 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 "lammps-deepmd" agent skill from https://github.com/jinzhezenggroup/computational-chemistry-agent-skills/tree/master/molecular-dynamics/lammps-deepmd into .github/skills/lammps-deepmd/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lammps-deepmd", 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 jinzhezenggroup/computational-chemistry-agent-skills --skill lammps-deepmd -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jinzhezenggroup/computational-chemistry-agent-skills lammps-deepmd --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jinzhezenggroup/computational-chemistry-agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/molecular-dynamics/lammps-deepmd .opencode/skills/lammps-deepmd && 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 "lammps-deepmd" agent skill from https://github.com/jinzhezenggroup/computational-chemistry-agent-skills/tree/master/molecular-dynamics/lammps-deepmd into .opencode/skills/lammps-deepmd/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lammps-deepmd", 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.
lammps-deepmdPrepares and runs molecular dynamics simulations in LAMMPS with a DeePMD machine-learning potential, writing the input script and choosing NVE, NVT or NPT.
The skill guides your agent through setting up a LAMMPS run that uses a DeePMD-kit model such as graph.pb. It first settles how LAMMPS will be run: online through uvx when internet access and uv are available, or offline with an executable, module or container that you name, since the agent is told never to invent one. It then collects the structure file, the model file, the atom-type-to-element mapping with masses, the ensemble, temperature, pressure, timestep and number of steps.
The agent writes input.lammps itself and explains every command in it. The skill ships an example NVT input and a reference on commands and workflow. Where possible it checks command availability against the LAMMPS docs or lmp -h, and it reports which command ran, which files it used and where the outputs went. The first online run can be slow while the packages are provisioned.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 5c19e75. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
uvxFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
docs.lammps.orggithub.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Requires LAMMPS with DeePMD-kit support. Online mode prefers `uvx --from lammps --with deepmd-kit[gpu,torch,lmp] lmp`; offline mode requires a user-provided LAMMPS executable or module.
From compatibility in the SKILL.md frontmatter.
LAMMPS with DeePMD-kit loads about 2.8k tokens when it runs, and up to ~3.3k if it reads all its reference files. Until then it costs about 100 tokens; SKILL.md has 1,257 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.
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); files beside SKILL.md are not scanned.
The full file from jinzhezenggroup/computational-chemistry-agent-skills at commit 5c19e75, republished under its LGPL-3.0-or-later licence (© jinzhezenggroup). 1,257 words, ~2,832 tokens.
.claude/skills/lammps-deepmd/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Use this skill when the user wants to run molecular dynamics in LAMMPS with a DeePMD-kit potential, prepare or explain an input.lammps file, or switch between common ensembles such as NVE, NVT, and NPT.
uv is installed, prefer
uvx --from lammps --with deepmd-kit[gpu,torch,lmp] lmp ...data.system)graph.pb or compressed model)lmp -h output before execution.Use:
uvx --from lammps --with deepmd-kit[gpu,torch,lmp] lmp -in input.lammpsIf you need to inspect the local command-line help:
uvx --from lammps --with deepmd-kit[gpu,torch,lmp] lmp -h | tee /dev/ttyNotes:
gpu,torch,lmp extras match the requested runtime pattern from the user.If internet access is unavailable or the user explicitly wants a site-installed binary, ask a concrete question such as:
lmp, lmp_mpi, mpirun -np 8 lmp, or an HPC module command?"Do not invent a binary name or module name.
Ask only for what is missing:
input.lammps.log.lammps, dump trajectories, restart files, and thermodynamic data.The following example is adapted from the user-provided tutorial pattern and slightly generalized. See also assets/input.nvt.lammps.
variable NSTEPS equal 1000000
variable THERMO_FREQ equal 1000
variable DUMP_FREQ equal 1000
variable TEMP equal 300.0
variable TAU_T equal 0.1
units metal
boundary p p p
atom_style atomic
neighbor 1.0 bin
read_data data.system
mass 1 28.0855
mass 2 15.999
pair_style deepmd graph_compressed.pb
pair_coeff * *
thermo_style custom step temp pe ke etotal press vol lx ly lz xy xz yz
thermo ${THERMO_FREQ}
dump 1 all custom ${DUMP_FREQ} traj.lammpstrj id type x y z
velocity all create ${TEMP} 743574
fix 1 all nvt temp ${TEMP} ${TEMP} ${TAU_T}
timestep 0.0005
run ${NSTEPS}variable NSTEPS equal 1000000
NSTEPS with value 1000000.run ${NSTEPS} so the run length is easy to modify in one place.variable THERMO_FREQ equal 1000
thermo ${THERMO_FREQ}.variable DUMP_FREQ equal 1000
variable TEMP equal 300.0
units metal is used below, this temperature is interpreted in kelvin.variable TAU_T equal 0.1
metal units this is in picoseconds.units metal
metal unit system.boundary p p p
atom_style atomic
atomic atom style, appropriate when atoms have no explicit bonds, angles, or molecular topology in the force field description.neighbor 1.0 bin
1.0 in the current distance unit.bin neighbor-building method.read_data data.system
data.system.mass 1 28.0855, mass 2 15.999
Masses section.Not all per-type masses are set.pair_style deepmd graph_compressed.pb
graph_compressed.pb.graph.pb, graph-compress.pb, or another supported exported model.pair_coeff * *
* * because the mapping is embedded in the model workflow rather than through conventional pairwise parameters.thermo_style custom step temp pe ke etotal press vol lx ly lz xy xz yz
step: timestep index.temp: instantaneous temperature.pe: potential energy.ke: kinetic energy.etotal: total energy.press: pressure.vol: box volume.lx ly lz: box lengths.xy xz yz: triclinic tilt factors, which are harmless to print even for an orthogonal box.thermo ${THERMO_FREQ}
THERMO_FREQ timesteps.dump 1 all custom ${DUMP_FREQ} traj.lammpstrj id type x y z
1.all.custom dump format.DUMP_FREQ steps.traj.lammpstrj.id type x y z.velocity all create ${TEMP} 743574
TEMP.743574 is the random seed.fix 1 all nvt temp ${TEMP} ${TEMP} ${TAU_T}
1 on group all.${TEMP} to ${TEMP}, meaning constant temperature here.${TAU_T} is the thermostat damping constant.timestep 0.0005
metal units, 0.0005 means 0.0005 ps = 0.5 fs.run ${NSTEPS}
NSTEPS timesteps.Replace the NVT thermostat line with:
fix 1 all nveMeaning:
A typical isotropic NPT alternative is:
variable PRESS equal 1.0
variable TAU_P equal 1.0
fix 1 all npt temp ${TEMP} ${TEMP} ${TAU_T} iso ${PRESS} ${PRESS} ${TAU_P}Meaning:
PRESS is the target pressureTAU_P is the barostat damping constantiso applies isotropic pressure control to the simulation boxWhen using NPT, it is often useful to keep vol, lx, ly, and lz in the thermo output.
uvx --from lammps --with deepmd-kit[gpu,torch,lmp] lmp -in input.lammpsuvx --from lammps --with deepmd-kit[gpu,torch,lmp] lmp -h | tee /dev/ttyOnly after the user specifies the executable, use a command such as one of these exact patterns:
lmp -in input.lammps
mpirun -np 8 lmp_mpi -in input.lammps
srun lmp -in input.lammpsThe agent must not choose one of these on its own without user guidance in offline mode.
After a run, report at least:
references/commands-and-workflow.md© jinzhezenggroup, LGPL-3.0-or-later. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references, assets) in molecular-dynamics/lammps-deepmd of jinzhezenggroup/computational-chemistry-agent-skills.
Open the folder on GitHubat commit 5c19e75
LAMMPS with DeePMD-kit 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 |
|---|---|---|---|---|---|---|
| LAMMPS with DeePMD-kit this skilljinzhezenggroup/computational-chemistry-agent-skills | 148 | — | ~2.8k | Automated safety check: Pass | LGPL-3.0-or-later | |
| Journal Of Climatebrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Lammps DeepmdHello-QM/catgo-LRG | 205 | — | ~1k | Automated safety check: Pass | AGPL-3.0 | |
| AstropyzLanqing/codex-claude-academic-skills | 4.7k | 13 repos | ~2.9k | Automated safety check: Pass | BSD-3-Clause | |
| PymatgenzLanqing/codex-claude-academic-skills | 4.7k | 11 repos | ~5k | Automated safety check: Pass | MIT | |
| Cantera Ignition DelayK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~2.2k | Automated safety check: Pass | MIT |
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when targeting Journal of Climate or deciding whether a climate-dynamics or climate-variability manuscript fits this venue.
Hello-QM/catgo-LRG
Run LAMMPS molecular dynamics with DeePMD-kit machine learning potentials.
zLanqing/codex-claude-academic-skills
Comprehensive Python library for astronomy and astrophysics.
zLanqing/codex-claude-academic-skills
Materials science toolkit. An agent skill from zLanqing/codex-claude-academic-skills.
K-Dense-AI/scientific-agent-skills
Runs Cantera constant-volume or constant-pressure ignition simulations and reports temperature-based ignition delay with mechanism provenance and checks.
trpc-group/trpc-agent-go
Get current weather and forecasts via wttr.in or Open-Meteo.
jinzhezenggroup/computational-chemistry-agent-skills
Turns a user-supplied atomic structure and DFT settings into a runnable Quantum ESPRESSO input file, stopping short of submitting the job.
jinzhezenggroup/computational-chemistry-agent-skills
Prepares, validates and runs DP-GEN simplify jobs that thin out repeated or redundant DeepMD datasets, generating param.json and machine.json for local or scheduler runs.
jinzhezenggroup/computational-chemistry-agent-skills
Prepares and explains LAMMPS input scripts for reactive molecular dynamics with the ReaxFF potential, including charge equilibration and ensemble choice.
jinzhezenggroup/computational-chemistry-agent-skills
Generates 3D molecular conformers from SMILES strings or files with RDKit, keeps the lowest-energy one per molecule, and falls back to 2D coordinates when embedding fails.
jinzhezenggroup/computational-chemistry-agent-skills
Computes RDKit physicochemical descriptors and molecular fingerprints from SMILES through a uv-run CLI script that skips and logs invalid molecules.
jinzhezenggroup/computational-chemistry-agent-skills
A standardized CLI wrapper for Uni-Mol molecular ML workflows that handles representation extraction (embeddings), model training (regression/classification), and property prediction with built-in…
Categories
Prepares and runs molecular dynamics simulations in LAMMPS with a DeePMD machine-learning potential, writing the input script and choosing NVE, NVT or NPT. pb. It first settles how LAMMPS will be run: online through uvx when internet access and uv are available, or offline with an executable, module or container that you name, since the agent is told never to invent one.
LAMMPS with DeePMD-kit fits situations like: setting up a LAMMPS run that uses a DeePMD potential; explaining what each command in an input.lammps file does; switching a simulation between NVE, NVT and NPT ensembles; running a DeePMD-enabled LAMMPS job from a cluster module or container.
Run `npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill lammps-deepmd -a claude-code`. Or copy the skill folder (molecular-dynamics/lammps-deepmd in jinzhezenggroup/computational-chemistry-agent-skills) into .claude/skills/lammps-deepmd in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill lammps-deepmd -a codex`. Or copy the skill folder (molecular-dynamics/lammps-deepmd in jinzhezenggroup/computational-chemistry-agent-skills) into .agents/skills/lammps-deepmd in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill lammps-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/lammps-deepmd, .gemini/skills/lammps-deepmd, .github/skills/lammps-deepmd and .opencode/skills/lammps-deepmd in your project.
Going by SKILL.md and its folder, LAMMPS with DeePMD-kit needs the command-line tools its instructions call (uvx). Our summary lists: LAMMPS built with DeePMD-kit support; uv for online mode, or a LAMMPS executable, module or container for offline mode; A DeePMD model file such as graph.pb and a structure data file. Compatibility (from SKILL.md): Requires LAMMPS with DeePMD-kit support. Online mode prefers `uvx --from lammps --with deepmd-kit[gpu,torch,lmp] lmp`; offline mode requires a user-provided LAMMPS executable or module..
SKILL.md names 2 domains. As links in the text: docs.lammps.org and github.com. This is read from the text; nothing was executed.
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. Review the folder before installing.
LAMMPS with DeePMD-kit is published under the LGPL-3.0-or-later licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.8k tokens (SKILL.md is roughly 11k 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 474 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with LAMMPS with DeePMD-kit: Journal Of Climate (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars), Lammps Deepmd (Hello-QM/catgo-LRG, 205 stars), Astropy (zLanqing/codex-claude-academic-skills, 4.7k stars) and Pymatgen (zLanqing/codex-claude-academic-skills, 4.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
jinzhezenggroup (a GitHub organization) maintains it in jinzhezenggroup/computational-chemistry-agent-skills, which has 148 GitHub stars. The repository holds 62 skills in this directory. The repository was last updated on October 9, 2026.
Source: jinzhezenggroup/computational-chemistry-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.