Energy Calculator
benchflow-ai/skillsbench
Calculate per-second RMS energy from audio files. An agent skill from benchflow-ai/skillsbench.
Calculate vibrational frequencies, normal modes, zero-point energy, and IR spectra of molecules and clusters using MLIPs.
$ npx skills add learningmatter-mit/AtomisticSkills --skill chem-vibration -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install learningmatter-mit/AtomisticSkills chem-vibration --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/chem-vibration .claude/skills/chem-vibration && 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 "chem-vibration" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/chem-vibration into .claude/skills/chem-vibration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chem-vibration", 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/chem-vibrationType 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 chem-vibration -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install learningmatter-mit/AtomisticSkills chem-vibration --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/chem-vibration .agents/skills/chem-vibration && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "chem-vibration" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/chem-vibration into .agents/skills/chem-vibration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chem-vibration", 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 chem-vibration -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install learningmatter-mit/AtomisticSkills chem-vibration --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/chem-vibration .cursor/skills/chem-vibration && 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 "chem-vibration" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/chem-vibration into .cursor/skills/chem-vibration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chem-vibration", 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/chem-vibration--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 chem-vibration -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install learningmatter-mit/AtomisticSkills chem-vibration --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/chem-vibration .gemini/skills/chem-vibration && 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 "chem-vibration" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/chem-vibration into .gemini/skills/chem-vibration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chem-vibration", 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 chem-vibrationInstalls 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 chem-vibration -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/chem-vibration .github/skills/chem-vibration && 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 "chem-vibration" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/chem-vibration into .github/skills/chem-vibration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chem-vibration", 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 chem-vibration -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 chem-vibration --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/chem-vibration .opencode/skills/chem-vibration && 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 "chem-vibration" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/chem-vibration into .opencode/skills/chem-vibration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chem-vibration", 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.
chem-vibrationCalculate vibrational frequencies, normal modes, zero-point energy, and IR spectra of molecules and clusters using MLIPs.
Chem Vibration is an agent skill from learningmatter-mit/AtomisticSkills. Calculate vibrational frequencies, normal modes, zero-point energy, and IR spectra of molecules and clusters using MLIPs.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `examples/H2O/README.md`, `examples/H2O/vibration_results.json` and `scripts/calculate_vibrations.py`).
The repository describes itself as: Integrating AtomisticSkills into Agentic IDEs (Cursor, Claude Code, Codex, Google Antigravity, Hermes Agent, etc). The licence is MIT.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 6257444. 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.
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.
Links to these hosts (documentation or services it may open):
github.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.
Chem Vibration loads about 1.3k tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 457 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); the scripts in this folder are not scanned.
The full file from learningmatter-mit/AtomisticSkills at commit 6257444, republished under its MIT licence (© learningmatter-mit). 457 words, ~1,265 tokens.
.claude/skills/chem-vibration/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Calculate the vibrational frequencies ($\nu$), normal modes, and zero-point energy (ZPE) of non-periodic (finite) systems — molecules, clusters, and adsorbates — within the harmonic approximation using Machine Learning Interatomic Potentials (MLIPs).
[!IMPORTANT] This skill is for molecules and finite systems only. For periodic crystals, use the phonon skill instead.
In the harmonic approximation, the potential energy surface near a local minimum is approximated as $V \approx V_0 + \frac{1}{2} \sum_{ij} H_{ij} \Delta r_i \Delta r_j$, where $H_{ij} = \frac{\partial^2 V}{\partial r_i \partial r_j}$ is the Hessian (force constant) matrix. Diagonalizing the mass-weighted Hessian yields $3N$ eigenvalues: for a nonlinear molecule, $3N-6$ are real vibrational modes (and $3N-5$ for linear molecules), while the remaining eigenvalues correspond to translational and rotational degrees of freedom (near zero).
MACEWrapper, MatGLWrapper, or FAIRCHEMWrapper).mlip and fairchem environments.[!IMPORTANT]
- Use OMAT or MatPES trained models (e.g.,
MACE-OMAT-0-small). These are optimized for forces and give reliable Hessians.- The harmonic approximation requires a well-converged equilibrium geometry. Always relax with tight force tolerance (fmax ≤ 0.001 eV/Å) before computing vibrations.
Refer to the foundation-potentials skill for details.
Use ASE's built-in molecule database or provide a structure file:
# Built-in molecules: H2O, CO2, CH4, NH3, CH3OH, C2H6, etc.
# Or provide a .xyz / .cif / POSCAR file${CLAUDE_SKILL_DIR}/../../venv/run mlip python ${CLAUDE_SKILL_DIR}/scripts/calculate_vibrations.py \
--molecule H2O \
--model_type mace \
--model_name MACE-OMAT-0-small \
--output_dir research/my_folder/vibrationsWith a structure file instead:
${CLAUDE_SKILL_DIR}/../../venv/run mlip python ${CLAUDE_SKILL_DIR}/scripts/calculate_vibrations.py \
--structure path/to/molecule.xyz \
--model_type mace \
--model_name MACE-OMAT-0-small \
--no_relax \
--output_dir research/my_folder/vibrationsKey Parameters:
--molecule: ASE built-in molecule name (e.g., H2O, CO2, CH4)--structure: Path to structure file (alternative to --molecule)--delta: Finite-difference displacement in Å (default: 0.01)--nfree: Number of displacements per degree of freedom, 2 or 4 (default: 2)--relax / --no_relax: Whether to relax before vibration analysis (default: relax)--fmax: Force convergence for relaxation (default: 0.001 eV/Å)vibration_results.json: Summary including:frequencies_cm1: All frequencies in cm⁻¹frequencies_meV: All frequencies in meVreal_modes: Indices and frequencies of real vibrational modesimaginary_modes: Indices and frequencies of imaginary modes (should be near zero)zero_point_energy_eV: Zero-point energy in eVn_atoms, formula, is_linearvib.N.traj: Trajectory files for each vibrational mode (for visualization)See examples/H2O/ for a water molecule vibration analysis.
${CLAUDE_SKILL_DIR}/../../venv/run mlip python ${CLAUDE_SKILL_DIR}/scripts/calculate_vibrations.py \
--molecule H2O \
--model_type mace \
--model_name MACE-OMAT-0-small \
--output_dir ${CLAUDE_SKILL_DIR}/examples/H2OExpected H2O vibrational modes (experimental reference):
| Mode | Type | Experimental (cm⁻¹) |
|---|---|---|
| Bending | ν₂ | ~1595 |
| Symmetric stretch | ν₁ | ~3657 |
| Asymmetric stretch | ν₃ | ~3756 |
venv/run <venv> ...):mlip for MACE and MatGL/CHGNet modelsfairchem for FairChem/UMA modelsAuthor: Bowen Deng Contact: GitHub @learningmatter-mit
© 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
SKILL.md and 3 other files (scripts) in skills/chem-vibration of learningmatter-mit/AtomisticSkills.
Open the folder on GitHubat commit 6257444
Chem Vibration 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 |
|---|---|---|---|---|---|---|
| Chem Vibration this skilllearningmatter-mit/AtomisticSkills | 176 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Energy Calculatorbenchflow-ai/skillsbench | 1.8k | — | ~437 | Automated safety check: Pass | Apache-2.0 | |
| Bio Free Energy CalculationsGPTomics/bioSkills | 1.2k | 1 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Dynamic Workflow Modeaffaan-m/ECC | 275k | 1 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Agent GitHub Modesruvnet/ruflo | 74k | 2 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Consent Modethedaviddias/Front-End-Checklist | 74k | — | ~425 | Automated safety check: Pass | MIT |
benchflow-ai/skillsbench
Calculate per-second RMS energy from audio files. An agent skill from benchflow-ai/skillsbench.
GPTomics/bioSkills
Performs alchemical free-energy calculations including relative binding free energy (RBFE / FEP+) and absolute binding free energy (ABFE) via OpenFE, FEP+, GROMACS, AMBER pmemd, and OpenMM with…
affaan-m/ECC
Design task-local harnesses, eval gates, and reusable skill extraction for Claude dynamic workflow mode and other adaptive agent harnesses.
ruvnet/ruflo
Agent skill for github-modes - invoke with $agent-github-modes
thedaviddias/Front-End-Checklist
A skill your agent uses when auditing slow page loads, heavy assets, or rendering delays related to Implement Google Consent Mode v2.
remotion-dev/remotion
Understand the capabilities and restrictions of each Remotion Studio mode.
learningmatter-mit/AtomisticSkills
Define a docking search box (center coordinates + box dimensions in Angstroms) from a co-crystal ligand, binding-site residues, or a saved JSON specification.
learningmatter-mit/AtomisticSkills
Build a solvated, charge-neutralized protein-ligand complex for OpenMM molecular dynamics simulation.
learningmatter-mit/AtomisticSkills
Identify and rank ligandable pockets on a protein structure or model using geometry (fpocket) or an ML predictor (P2Rank).
learningmatter-mit/AtomisticSkills
Calculate homolytic and heterolytic bond dissociation energies (BDEs) for all single bonds in a molecule using MLIPs with RDKit fragmentation.
learningmatter-mit/AtomisticSkills
Generate molecular conformers with RDKit ETKDG, relax with MLIPs, and rank by energy with Boltzmann weighting.
learningmatter-mit/AtomisticSkills
Query multiple MOF databases (QMOF via MPContribs; ARC-MOF DB7/Majumdar et al.
Calculate vibrational frequencies, normal modes, zero-point energy, and IR spectra of molecules and clusters using MLIPs. Chem Vibration is an agent skill from learningmatter-mit/AtomisticSkills. Calculate vibrational frequencies, normal modes, zero-point energy, and IR spectra of molecules and clusters using MLIPs.
Run `npx skills add learningmatter-mit/AtomisticSkills --skill chem-vibration -a claude-code`. Or copy the skill folder (skills/chem-vibration in learningmatter-mit/AtomisticSkills) into .claude/skills/chem-vibration in your project. Claude Code loads it when a task matches its description.
Run `npx skills add learningmatter-mit/AtomisticSkills --skill chem-vibration -a codex`. Or copy the skill folder (skills/chem-vibration in learningmatter-mit/AtomisticSkills) into .agents/skills/chem-vibration 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 learningmatter-mit/AtomisticSkills --skill chem-vibration -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/chem-vibration, .gemini/skills/chem-vibration, .github/skills/chem-vibration and .opencode/skills/chem-vibration in your project.
Going by SKILL.md and its folder, Chem Vibration needs Python for the scripts in its folder. Our summary lists: Python 3.
SKILL.md names 1 domain. As links in the text: 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Chem Vibration is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.3k tokens (SKILL.md is roughly 5.1k 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 Chem Vibration: Energy Calculator (benchflow-ai/skillsbench, 1.8k stars), Bio Free Energy Calculations (GPTomics/bioSkills, 1.2k stars), Dynamic Workflow Mode (affaan-m/ECC, 275k stars) and Agent GitHub Modes (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.