Energy Calculator
benchflow-ai/skillsbench
Calculate per-second RMS energy from audio files. An agent skill from benchflow-ai/skillsbench.
A library of ground-state element structures and their energies calculated from MLIPs.
$ npx skills add learningmatter-mit/AtomisticSkills --skill mat-elemental-energies -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install learningmatter-mit/AtomisticSkills mat-elemental-energies --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-elemental-energies .claude/skills/mat-elemental-energies && 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-elemental-energies" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/mat-elemental-energies into .claude/skills/mat-elemental-energies/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mat-elemental-energies", 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-elemental-energiesType 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-elemental-energies -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install learningmatter-mit/AtomisticSkills mat-elemental-energies --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-elemental-energies .agents/skills/mat-elemental-energies && 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-elemental-energies" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/mat-elemental-energies into .agents/skills/mat-elemental-energies/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mat-elemental-energies", 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-elemental-energies -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install learningmatter-mit/AtomisticSkills mat-elemental-energies --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-elemental-energies .cursor/skills/mat-elemental-energies && 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-elemental-energies" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/mat-elemental-energies into .cursor/skills/mat-elemental-energies/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mat-elemental-energies", 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-elemental-energies--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-elemental-energies -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install learningmatter-mit/AtomisticSkills mat-elemental-energies --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-elemental-energies .gemini/skills/mat-elemental-energies && 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-elemental-energies" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/mat-elemental-energies into .gemini/skills/mat-elemental-energies/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mat-elemental-energies", 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-elemental-energiesInstalls 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-elemental-energies -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-elemental-energies .github/skills/mat-elemental-energies && 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-elemental-energies" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/mat-elemental-energies into .github/skills/mat-elemental-energies/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mat-elemental-energies", 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-elemental-energies -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-elemental-energies --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-elemental-energies .opencode/skills/mat-elemental-energies && 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-elemental-energies" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/mat-elemental-energies into .opencode/skills/mat-elemental-energies/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mat-elemental-energies", 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.
mat-elemental-energiesA library of ground-state element structures and their energies calculated from MLIPs.
Mat Elemental Energies is an agent skill from learningmatter-mit/AtomisticSkills. A library of ground-state element structures and their energies calculated from MLIPs. Used to calculate formation energies of compounds.
Its SKILL.md is about 650 tokens, which your agent loads only when the skill is triggered. The skill folder holds 130 other files, including scripts (for example `resources/CHGNet-MPtrj-2023.12.1-2.7M-PES_energies.json`, `resources/CHGNet-MPtrj-2024.2.13-11M-PES_energies.json` and `resources/CHGNet-MatPES-PBE-2025.2.10-2.7M-PES_energies.json`).
The repository describes itself as: Integrating AtomisticSkills into Agentic IDEs (Cursor, Claude Code, Codex, Google Antigravity, Hermes Agent, etc). The licence is MIT.
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/, 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.
Mat Elemental Energies loads about 646 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 284 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). 284 words, ~646 tokens.
.claude/skills/mat-elemental-energies/SKILL.md (or your agent's skills folder). This skill also uses 129 other files; get the full folder from GitHub.To provide a centralized library of the most stable phases (ground states) for each element and their corresponding reference energies calculated using different Machine Learning Interatomic Potentials (MLIPs). This avoids redundant relaxations and ensure consistency in thermodynamics calculations (e.g., formation energy, stability).
To get the energies for a list of elements from a specific checkpoint:
${CLAUDE_SKILL_DIR}/../../venv/run cpu python ${CLAUDE_SKILL_DIR}/scripts/get_elemental_energies.py --elements Li Fe O --checkpoint mace-mp-mediumAs of 2026-01-30, the library is fully expanded and contains 89 elements (Ground states from H to Lr) across 36 MLIP variants, including:
<checkpoint_name>_energies.json format.relax_cell=True). A positions-only relaxation leaves the reference above the
potential's own minimum and biases every formation energy that uses it.TensorNet-PES-MatPES-PBE-2025.2, mp-12957 (O2) gives -5.118 eV/atom fully relaxed
versus -4.968 positions-only. More than one MP entry can also tie at
energy_above_hull = 0 for these elements (O2: mp-12957 and mp-1524462), so pin the
material_id rather than relying on a formula lookup returning a stable order.Author: 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 129 other files (scripts) in skills/mat-elemental-energies of learningmatter-mit/AtomisticSkills.
Open the folder on GitHubat commit 6257444
Mat Elemental Energies 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 Elemental Energies this skilllearningmatter-mit/AtomisticSkills | 176 | — | ~646 | 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 | |
| Structured Element ExtractionTHUYRan/Legal-Skills-Chinese | 873 | — | ~8.4k | Automated safety check: Pass | None | |
| Structured Datathedaviddias/Front-End-Checklist | 74k | — | ~420 | Automated safety check: Pass | MIT | |
| Bio Structural Biology Modern Structure PredictionFreedomIntelligence/OpenClaw-Medical-Skills | 3.1k | 1 repos | ~2.5k | Automated safety check: Pass | None |
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…
THUYRan/Legal-Skills-Chinese
When the AI agent must systematically analyze a legal question, case facts, legal provision, or legal relationship, it must first decompose it into a structured element checklist.
thedaviddias/Front-End-Checklist
A skill your agent uses when auditing metadata, crawlability, structured data, or indexability related to Add structured data markup.
FreedomIntelligence/OpenClaw-Medical-Skills
Predict protein structures using modern ML models including AlphaFold3, ESMFold, Chai-1, and Boltz-1.
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing rendered HTML, interactive components, or design-system patterns related to Use correct list structure.
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.
A library of ground-state element structures and their energies calculated from MLIPs. Mat Elemental Energies is an agent skill from learningmatter-mit/AtomisticSkills. A library of ground-state element structures and their energies calculated from MLIPs.
Run `npx skills add learningmatter-mit/AtomisticSkills --skill mat-elemental-energies -a claude-code`. Or copy the skill folder (skills/mat-elemental-energies in learningmatter-mit/AtomisticSkills) into .claude/skills/mat-elemental-energies in your project. Claude Code loads it when a task matches its description.
Run `npx skills add learningmatter-mit/AtomisticSkills --skill mat-elemental-energies -a codex`. Or copy the skill folder (skills/mat-elemental-energies in learningmatter-mit/AtomisticSkills) into .agents/skills/mat-elemental-energies 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 mat-elemental-energies -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-elemental-energies, .gemini/skills/mat-elemental-energies, .github/skills/mat-elemental-energies and .opencode/skills/mat-elemental-energies in your project.
SKILL.md names no scripts, command-line tools or credentials: Mat Elemental Energies is instructions for the agent only. 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.
Mat Elemental Energies is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 646 tokens (SKILL.md is roughly 2.6k 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 Mat Elemental Energies: Energy Calculator (benchflow-ai/skillsbench, 1.8k stars), Bio Free Energy Calculations (GPTomics/bioSkills, 1.2k stars), Structured Element Extraction (THUYRan/Legal-Skills-Chinese, 873 stars) and Structured Data (thedaviddias/Front-End-Checklist, 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.