Astropy
zLanqing/codex-claude-academic-skills
Comprehensive Python library for astronomy and astrophysics.
Run LAMMPS molecular dynamics with ReaxFF reactive force field.
$ npx skills add Hello-QM/catgo-LRG --skill lammps-reaxff -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Hello-QM/catgo-LRG lammps-reaxff --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/Hello-QM/catgo-LRG.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/lammps-reaxff .claude/skills/lammps-reaxff && 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-reaxff" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/lammps-reaxff into .claude/skills/lammps-reaxff/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lammps-reaxff", 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/Hello-QM/catgo-LRG/tree/main/.claude/skills/lammps-reaxffType 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 Hello-QM/catgo-LRG --skill lammps-reaxff -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Hello-QM/catgo-LRG lammps-reaxff --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/lammps-reaxff .agents/skills/lammps-reaxff && 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-reaxff" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/lammps-reaxff into .agents/skills/lammps-reaxff/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lammps-reaxff", 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 Hello-QM/catgo-LRG --skill lammps-reaxff -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Hello-QM/catgo-LRG lammps-reaxff --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/lammps-reaxff .cursor/skills/lammps-reaxff && 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-reaxff" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/lammps-reaxff into .cursor/skills/lammps-reaxff/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lammps-reaxff", 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/Hello-QM/catgo-LRG.git --path .claude/skills/lammps-reaxff--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 Hello-QM/catgo-LRG --skill lammps-reaxff -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Hello-QM/catgo-LRG lammps-reaxff --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/lammps-reaxff .gemini/skills/lammps-reaxff && 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-reaxff" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/lammps-reaxff into .gemini/skills/lammps-reaxff/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lammps-reaxff", 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 Hello-QM/catgo-LRG lammps-reaxffInstalls 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 Hello-QM/catgo-LRG --skill lammps-reaxff -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/lammps-reaxff .github/skills/lammps-reaxff && 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-reaxff" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/lammps-reaxff into .github/skills/lammps-reaxff/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lammps-reaxff", 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 Hello-QM/catgo-LRG --skill lammps-reaxff -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Hello-QM/catgo-LRG lammps-reaxff --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/lammps-reaxff .opencode/skills/lammps-reaxff && 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-reaxff" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/lammps-reaxff into .opencode/skills/lammps-reaxff/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lammps-reaxff", 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-reaxffRun LAMMPS molecular dynamics with ReaxFF reactive force field.
Lammps Reaxff is an agent skill from Hello-QM/catgo-LRG. Run LAMMPS molecular dynamics with ReaxFF reactive force field. Use when the user needs reactive MD for combustion, oxidation, corrosion, or bond breaking/forming.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires LAMMPS compiled with the REAXFF package. A ReaxFF parameter file (ffield.reax) is required for the element combination.
It sits in Research & Science, covering Physical and earth sciences. The repository describes itself as: AI-driven workbench for computational materials science — interactive 3D structure viewer, natural-language CatBot assistant, visual DAG workflow engine, HPC job submission… The licence is AGPL-3.0.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit fd6291b. 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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From 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 compiled with the REAXFF package. A ReaxFF parameter file (ffield.reax) is required for the element combination.
From compatibility in the SKILL.md frontmatter.
Lammps Reaxff loads about 1.2k tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 409 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 Hello-QM/catgo-LRG at commit fd6291b, republished under its AGPL-3.0 licence (© Hello-QM). 409 words, ~1,215 tokens.
.claude/skills/lammps-reaxff/SKILL.md (or your agent's skills folder).lmp -h | grep REAXFF)ffield.reax.xxx) for the element combinationdata/packmol/SKILL.md)catgo_workflow_engine(action="create", params={"name": "ReaxFF combustion - methane/O2"})catgo_workflow_engine(action="add_task", params={
"workflow_id": "wf_xxx",
"task_type": "shell",
"name": "reaxff_md",
"command": "lmp -in lammps.in > lammps.log 2>&1",
"input_files": {
"lammps.in": "<input script>",
"ffield.reax.CHO": "<reaxff params>"
},
"system_name": "CH4_combustion"
})After MD completes, use analysis/reacnetgen/SKILL.md to extract reaction networks.
units real
boundary p p p
atom_style charge
read_data structure.lmp
pair_style reaxff NULL
pair_coeff * * ffield.reax.CHO C H O
neighbor 2.0 bin
neigh_modify every 10 delay 0 check yes
# Charge equilibration
fix qeq all qeq/reaxff 1 0.0 10.0 1.0e-6 reaxff
# Velocities
velocity all create 2000.0 12345 dist gaussian
# NVT
fix 1 all nvt temp 2000.0 2000.0 100.0
# Timestep (fs in real units)
timestep 0.25
# Output
thermo 100
thermo_style custom step temp pe ke etotal press vol density
dump 1 all custom 100 traj.lammpstrj id type q x y z
dump_modify 1 sort id element C H O
# Bond order output (for reaction analysis)
fix bonds all reaxff/bonds 1000 bonds.reax
run 500000ReaxFF requires dynamic charge equilibration at every step:
fix qeq all qeq/reaxff 1 0.0 10.0 1.0e-6 reaxffNever omit this fix. Without it, charges are not updated and results are physically meaningless.
ReaxFF requires small timesteps due to reactive dynamics:
For reaction analysis, write bond information:
fix bonds all reaxff/bonds 1000 bonds.reaxFeed bonds.reax to ReacNetGenerator for automated reaction network extraction.
| File | Elements | Reference |
|---|---|---|
| ffield.reax.CHO | C, H, O | Chenoweth et al. (2008) — combustion |
| ffield.reax.Fe_O_C_H | Fe, O, C, H | Aryanpour et al. (2010) — iron oxidation |
| ffield.reax.AB | A, B (various) | Check doi.org/10.1021/acs.jctc.* for specific systems |
Always cite the original ReaxFF parameterization paper.
| Parameter | Typical value | Notes |
|---|---|---|
| timestep | 0.25 fs | Real units (fs); must be small for reactive dynamics |
| NVT temp damp | 100 fs | 100-200 fs typical in real units |
| qeq tolerance | 1.0e-6 | Charge equilibration convergence |
| Temperature | 1500-3000 K | Reactive events need high T to overcome barriers |
| Run length | 500K-5M steps | 125 ps - 1.25 ns at 0.25 fs timestep |
| Dump freq | 100-500 | For trajectory and reaction analysis |
units real (kcal/mol, Ang, fs). Never use units metal.pair_coeff * * ffield.reax.CHO C H O must match atom types in data file.© Hello-QM, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .claude/skills/lammps-reaxff of Hello-QM/catgo-LRG.
Open the folder on GitHubat commit fd6291b
Lammps Reaxff 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 Reaxff this skillHello-QM/catgo-LRG | 205 | — | ~1.2k | 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 | |
| Weathertrpc-group/trpc-agent-go | 1.9k | 8 repos | ~591 | Automated safety check: Pass | Apache-2.0 | |
| Pymol VisualizationChatMol/ChatMol | 373 | — | ~1.2k | Automated safety check: Pass | MIT |
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.
ChatMol/ChatMol
Generate publication-quality molecular visualization images using PyMOL.
Muuuun/luxas
Write domain-authentic review articles that synthesize rather than stack.
Hello-QM/catgo-LRG
Drive a file-first, agent-in-the-loop computational campaign via a folder + markdown tree (no DB).
Hello-QM/catgo-LRG
Compute adsorption/reaction Gibbs free energies, free-energy diagrams, and electrochemical overpotentials (HER/ORR/OER/CO2RR/NRR) with VASP.
Hello-QM/catgo-LRG
Generate and manage ABINIT DFT calculations. An agent skill from Hello-QM/catgo-LRG.
Hello-QM/catgo-LRG
A skill your agent uses when the user asks to place an adsorbate molecule on a surface, find adsorption sites, or set up a surface+adsorbate model for DFT.
Hello-QM/catgo-LRG
A skill your agent uses when the user asks for adsorption energy, binding energy, or wants to compare how strongly a molecule binds to a surface.
Hello-QM/catgo-LRG
A skill your agent uses when the user asks to analyze computational results: Gibbs free energy, OER/HER/CO2RR overpotentials, adsorption energy, convergence tests, DOS/d-band analysis, or Bader…
Categories
Run LAMMPS molecular dynamics with ReaxFF reactive force field. Lammps Reaxff is an agent skill from Hello-QM/catgo-LRG. Run LAMMPS molecular dynamics with ReaxFF reactive force field.
Lammps Reaxff fits situations like: the user needs reactive MD for combustion; bond breaking/forming.
Run `npx skills add Hello-QM/catgo-LRG --skill lammps-reaxff -a claude-code`. Or copy the skill folder (.claude/skills/lammps-reaxff in Hello-QM/catgo-LRG) into .claude/skills/lammps-reaxff in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Hello-QM/catgo-LRG --skill lammps-reaxff -a codex`. Or copy the skill folder (.claude/skills/lammps-reaxff in Hello-QM/catgo-LRG) into .agents/skills/lammps-reaxff 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 Hello-QM/catgo-LRG --skill lammps-reaxff -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-reaxff, .gemini/skills/lammps-reaxff, .github/skills/lammps-reaxff and .opencode/skills/lammps-reaxff in your project.
SKILL.md names no scripts, command-line tools or credentials: Lammps Reaxff is instructions for the agent only. Compatibility (from SKILL.md): Requires LAMMPS compiled with the REAXFF package. A ReaxFF parameter file (ffield.reax) is required for the element combination. .
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.
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 Reaxff is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Lammps Reaxff: Astropy (zLanqing/codex-claude-academic-skills, 4.7k stars), Pymatgen (zLanqing/codex-claude-academic-skills, 4.7k stars), Cantera Ignition Delay (K-Dense-AI/scientific-agent-skills, 48k stars) and Weather (trpc-group/trpc-agent-go, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Hello-QM (a GitHub user) maintains it in Hello-QM/catgo-LRG, which has 205 GitHub stars. The repository holds 75 skills in this directory. The repository was last updated on September 22, 2026.
Source: Hello-QM/catgo-LRG on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.