Agent skill

Mat Intercalation Voltage

by learningmatter-mit in learningmatter-mit/AtomisticSkills

Calculate the average intercalation voltage of cathode materials using MLIPs.

MITAuto-check passed

Install Mat Intercalation Voltage

skills CLI
$ npx skills add learningmatter-mit/AtomisticSkills --skill mat-intercalation-voltage -a claude-code

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

GitHub CLI
$ gh skill install learningmatter-mit/AtomisticSkills mat-intercalation-voltage --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/learningmatter-mit/AtomisticSkills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/mat-intercalation-voltage .claude/skills/mat-intercalation-voltage && 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
mat-intercalation-voltage
GitHub stars
176
Token cost
~1.2k tokens
SKILL.md length
480 words
Files
11 (incl. scripts)
Skills in repo
129
Repo updated
First seen
Licence
MIT

At a glance

Calculate the average intercalation voltage of cathode materials using MLIPs.

  • Works in 5 steps: Prepare Structures → Select Foundation Potential → Relax Structures Using MCP Tools → …
  • SKILL.md covers Goal, Instructions, Available Metal Structures and Example, plus 1 more section
  • Runs Python scripts from its folder

What it does

Mat Intercalation Voltage is an agent skill from learningmatter-mit/AtomisticSkills. Calculate the average intercalation voltage of cathode materials using MLIPs.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including scripts (for example `examples/LiFePO4/README.md`, `examples/LiFePO4/voltage_results.json` and `scripts/calculate_voltage.py`).

It works with Model Context Protocol. The repository describes itself as: Integrating AtomisticSkills into Agentic IDEs (Cursor, Claude Code, Codex, Google Antigravity, Hermes Agent, etc). The licence is MIT.

Example prompts

  • “/mat-intercalation-voltage”

Requirements

  • Python 3

Workflow steps

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

  1. Prepare Structures
  2. Select Foundation Potential
  3. Relax Structures Using MCP Tools
  4. Extract Energies
  5. Calculate Voltage

What it can do on your machine

Read from SKILL.md and the folder at commit 6257444. 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 2 files in scripts/ (Python), which the agent can run.

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

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com

    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

Mat Intercalation Voltage loads about 1.2k tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 480 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~26
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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

The full file from learningmatter-mit/AtomisticSkills at commit 6257444, republished under its MIT licence (© learningmatter-mit). 480 words, ~1,240 tokens.

Download SKILL.mdSave it as .claude/skills/mat-intercalation-voltage/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.
name
mat-intercalation-voltage
description
Calculate the average intercalation voltage of cathode materials using MLIPs.
metadata.category
materials
metadata.venv
cpu, mlip

Intercalation Voltage

<!-- mcp-tools-note -->

[!NOTE] Steps written server.tool are MCP tool calls: mace.load_model is the load_model tool of the mace server (mcp__mace__load_model, or mcp__plugin_atomistic-skills_mace__load_model when installed as a plugin). Without a connected server, run the same tools from the shell. Tools named in one command share a process, so a model loaded by load_model stays loaded:

bash
${CLAUDE_SKILL_DIR}/../../venv/run mlip python -m src.mcp_server.cli mace load_model key=value relax_structure key=value

Goal

To calculate the average open-circuit voltage (OCV) of an intercalation cathode material (e.g., Li$_x$M$_y$O$_z$) by computing the energy difference between the fully intercalated (charged) and de-intercalated (discharged) states.

The average voltage $V$ is given by: $$V = -\frac{E(\text{full}) - E(\text{empty}) - n \mu_{\text{metal}}}{n}$$ where $E$ is the total energy, $n$ is the number of intercalated ions, and $\mu_{\text{metal}}$ is the chemical potential per atom of the bulk metal.

Instructions

  1. Prepare Structures:

    • Obtain the fully intercalated structure (e.g., LiFePO$_4$)
    • Create the de-intercalated structure by removing intercalating ions:
    bash
    ${CLAUDE_SKILL_DIR}/../../venv/run cpu python ${CLAUDE_SKILL_DIR}/scripts/remove_atoms.py \
        LiFePO4.cif \
        --remove Li \
        --output FePO4.cif
    • Get the bulk metal structure from resources/ (e.g., Li_metal.cif)
  2. Select Foundation Potential: Choose an appropriate MLIP based on the system (see foundation-potentials.md). For cathode materials, MACE-MH-1 with matpes_r2scan head or CHGNet-MatPES-r2SCAN are recommended.

  3. Relax Structures Using MCP Tools:

    Load the model and relax all three structures:

    bash
    # Load the model (example with MACE)
    mace.load_model(model_name="MACE-MH-1", task_name="matpes_r2scan")
    
    # Relax full structure
    mace.relax_structure(
        structure_data="LiFePO4.cif",
        output_dir="voltage_calc/full_relax"
    )
    
    # Relax empty structure
    mace.relax_structure(
        structure_data="FePO4.cif",
        output_dir="voltage_calc/empty_relax"
    )
    
    # Relax bulk metal
    mace.relax_structure(
        structure_data="${CLAUDE_SKILL_DIR}/resources/Li_metal.cif",
        output_dir="voltage_calc/metal_relax"
    )
  4. Extract Energies: From each relaxation output directory, extract:

    • E_full: Energy from full_relax/result.json
    • E_empty: Energy from empty_relax/result.json
    • E_metal: Energy from metal_relax/result.json
    • n_metal: Number of atoms in the relaxed metal structure
    • n_ions: Count difference of intercalating ions between full and empty structures
  5. Calculate Voltage:

    bash
    ${CLAUDE_SKILL_DIR}/../../venv/run cpu python ${CLAUDE_SKILL_DIR}/scripts/calculate_voltage.py \
        --e_full -123.45 \
        --e_empty -98.76 \
        --e_metal -1.23 \
        --n_metal 16 \
        --n_ions 4 \
        --metal Li \
        --output voltage_calc/voltage_results.json

    Parameters:

    • --e_full: Total energy of fully intercalated structure (eV)
    • --e_empty: Total energy of de-intercalated structure (eV)
    • --e_metal: Total energy of bulk metal structure (eV)
    • --n_metal: Number of metal atoms in the bulk metal structure
    • --n_ions: Number of intercalated ions (difference between full and empty)
    • --metal: Symbol of intercalating ion (optional, for documentation)
    • --output: Path to save results as JSON (optional)
Show full SKILL.md (122 more words)Show less

Available Metal Structures

The following bulk metal structures are available in resources/:

  • Li_metal.cif - Lithium (BCC)
  • Na_metal.cif - Sodium (BCC)
  • Mg_metal.cif - Magnesium (HCP)
  • Ca_metal.cif - Calcium (FCC)
  • K_metal.cif - Potassium (BCC)
  • Zn_metal.cif - Zinc (HCP)

All structures are queried from Materials Project and represent the most stable phases.

Example

See examples/LiFePO4/ for a complete worked example (MACE-MH-1 r2SCAN, 3.26 V vs 3.4 V experimental).

Constraints

  • Host Consistency: The number of host atoms must be identical in both full and empty structures
  • MLIP Consistency: Use the same MLIP model for all three relaxations
  • Metal Phase: Use the provided metal structures from resources/ which are the most stable phases from Materials Project
  • Temperature: This calculation provides the 0K OCV; entropy effects are neglected

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

Files

SKILL.md and 10 other files (scripts) in skills/mat-intercalation-voltage of learningmatter-mit/AtomisticSkills.

  • SKILL.md
  • examples/LiFePO4/README.md
  • examples/LiFePO4/voltage_results.json
  • resources/Ca_metal.cif
  • resources/K_metal.cif
  • resources/Li_metal.cif
  • resources/Mg_metal.cif
  • resources/Na_metal.cif
  • resources/Zn_metal.cif
  • scripts/calculate_voltage.py
  • scripts/remove_atoms.py

Open the folder on GitHubat commit 6257444

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Questions about Mat Intercalation Voltage

What does Mat Intercalation Voltage do?

Calculate the average intercalation voltage of cathode materials using MLIPs. Mat Intercalation Voltage is an agent skill from learningmatter-mit/AtomisticSkills. Calculate the average intercalation voltage of cathode materials using MLIPs.

How do I install Mat Intercalation Voltage in Claude Code?

Run `npx skills add learningmatter-mit/AtomisticSkills --skill mat-intercalation-voltage -a claude-code`. Or copy the skill folder (skills/mat-intercalation-voltage in learningmatter-mit/AtomisticSkills) into .claude/skills/mat-intercalation-voltage in your project. Claude Code loads it when a task matches its description.

How do I install Mat Intercalation Voltage in Codex?

Run `npx skills add learningmatter-mit/AtomisticSkills --skill mat-intercalation-voltage -a codex`. Or copy the skill folder (skills/mat-intercalation-voltage in learningmatter-mit/AtomisticSkills) into .agents/skills/mat-intercalation-voltage in your project. Codex loads it when a task matches its description.

Can I use Mat Intercalation Voltage 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 learningmatter-mit/AtomisticSkills --skill mat-intercalation-voltage -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-intercalation-voltage, .gemini/skills/mat-intercalation-voltage, .github/skills/mat-intercalation-voltage and .opencode/skills/mat-intercalation-voltage in your project.

What does Mat Intercalation Voltage need to run?

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

Does Mat Intercalation Voltage access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Mat Intercalation Voltage 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 Mat Intercalation Voltage use?

Mat Intercalation Voltage is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Mat Intercalation Voltage use?

About 1.2k tokens (SKILL.md is roughly 5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Mat Intercalation Voltage?

Skills that share tags, products or a category with Mat Intercalation Voltage: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Mat Intercalation Voltage?

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.