Agent skill

Mat Electrochemical Window

by learningmatter-mit in learningmatter-mit/AtomisticSkills

Calculate the intrinsic electrochemical stability window (ECW) of a material using standard phase diagram thermodynamic methods.

MITAuto-check passed

Install Mat Electrochemical Window

skills CLI

$ npx skills add learningmatter-mit/AtomisticSkills --skill mat-electrochemical-window -a claude-code

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

GitHub CLI

$ gh skill install learningmatter-mit/AtomisticSkills mat-electrochemical-window --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-electrochemical-window .claude/skills/mat-electrochemical-window && 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/

Paste into Claude Code

Install the "mat-electrochemical-window" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/mat-electrochemical-window into .claude/skills/mat-electrochemical-window/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mat-electrochemical-window", 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

$skill-installer install https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/mat-electrochemical-window

Type 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.

skills CLI

$ npx skills add learningmatter-mit/AtomisticSkills --skill mat-electrochemical-window -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install learningmatter-mit/AtomisticSkills mat-electrochemical-window --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/mat-electrochemical-window .agents/skills/mat-electrochemical-window && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "mat-electrochemical-window" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/mat-electrochemical-window into .agents/skills/mat-electrochemical-window/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mat-electrochemical-window", 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.

skills CLI

$ npx skills add learningmatter-mit/AtomisticSkills --skill mat-electrochemical-window -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install learningmatter-mit/AtomisticSkills mat-electrochemical-window --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/mat-electrochemical-window .cursor/skills/mat-electrochemical-window && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "mat-electrochemical-window" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/mat-electrochemical-window into .cursor/skills/mat-electrochemical-window/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mat-electrochemical-window", 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

$ gemini skills install https://github.com/learningmatter-mit/AtomisticSkills.git --path skills/mat-electrochemical-window

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add learningmatter-mit/AtomisticSkills --skill mat-electrochemical-window -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install learningmatter-mit/AtomisticSkills mat-electrochemical-window --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/mat-electrochemical-window .gemini/skills/mat-electrochemical-window && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "mat-electrochemical-window" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/mat-electrochemical-window into .gemini/skills/mat-electrochemical-window/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mat-electrochemical-window", 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.

GitHub CLI

$ gh skill install learningmatter-mit/AtomisticSkills mat-electrochemical-window

Installs 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).

skills CLI

$ npx skills add learningmatter-mit/AtomisticSkills --skill mat-electrochemical-window -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/mat-electrochemical-window .github/skills/mat-electrochemical-window && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "mat-electrochemical-window" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/mat-electrochemical-window into .github/skills/mat-electrochemical-window/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mat-electrochemical-window", 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.

skills CLI

$ npx skills add learningmatter-mit/AtomisticSkills --skill mat-electrochemical-window -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install learningmatter-mit/AtomisticSkills mat-electrochemical-window --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/mat-electrochemical-window .opencode/skills/mat-electrochemical-window && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "mat-electrochemical-window" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/mat-electrochemical-window into .opencode/skills/mat-electrochemical-window/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mat-electrochemical-window", 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.

Facts

Skill name: mat-electrochemical-window
GitHub stars: 175
Token cost: ~1.4k tokens
SKILL.md length: 642 words
Files: 4 (incl. scripts)
Skills in repo: 129
Repo updated: Oct 6, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Calculate the intrinsic electrochemical stability window (ECW) of a material using standard phase diagram thermodynamic methods.

Works in 3 steps: Calculate Global Phase Diagram… → Identify the stable Region: Evaluating… → Reference Scale Conversion: The bounds…
SKILL.md covers Goal, Methodology, Instructions and Examples, plus 2 more sections
Runs Python scripts from its folder

What it does

Mat Electrochemical Window is an agent skill from learningmatter-mit/AtomisticSkills. Calculate the intrinsic electrochemical stability window (ECW) of a material using standard phase diagram thermodynamic methods.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `examples/literature_reproduction/README.md`, `examples/literature_reproduction/reproduce_table1.py` and `scripts/calculate_ecw.py`).

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-electrochemical-window”

Requirements

Python 3

Workflow steps

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

Calculate Global Phase Diagram boundaries: For the composition of the target phase, identifying the critical chemical potentials…
Identify the stable Region: Evaluating an intermediary point in each discrete chemical potential band on the GrandPotentialPhaseDiagram to…
Reference Scale Conversion: The bounds are translated from absolute chemical potentials into voltages versus the pure standard state…

What it can do on your machine

Read from SKILL.md and the folder at commit 7f2d86d. 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 1 file 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):
- doi.org
- 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 Electrochemical Window loads about 1.4k tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 642 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~39
When it runs · the whole SKILL.md, loaded when a task matches: ~1.4k

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 7f2d86d, republished under its MIT licence (© learningmatter-mit). 642 words, ~1,421 tokens.

Download SKILL.mdSave it as .claude/skills/mat-electrochemical-window/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.

name: mat-electrochemical-window
description: Calculate the intrinsic electrochemical stability window (ECW) of a material using standard phase diagram thermodynamic methods.
metadata.category: materials
metadata.venv: cpu

Electrochemical Stability Window (ECW) Calculation

Goal

To determine the intrinsic electrochemical stability window (ECW) of a material, specifically bounding the reduction ($V_{\text{red}}$) and oxidation ($V_{\text{ox}}$) potentials against a mobile working ion (e.g., Li/Li+), using a standard zero-Kelvin phase diagram.

This explicitly implements the standard thermodynamic approach for solid electrolytes defined in: Zhu, Y., He, X. & Mo, Y. "Origin of Outstanding Stability in the Lithium Solid Electrolyte Materials: Insights from Thermodynamic Analyses Based on First-Principles Calculations". ACS Appl. Mater. Interfaces 7, 23685–23693 (2015).

[!TIP] Coupling with Stability: ECW calculation relies entirely on the same generic computed energies and PhaseDiagram used for determining $E_{hull}$. You can uniquely combine this with the mat-stability skill to calculate both intrinsic thermodynamic stability and electrochemical stability in the same step using the same unified convex hull.

Methodology

The electrochemical stability window of a phase represents the voltage range over which it is thermodynamically stable against reduction by (e.g., lithiation) or oxidation (e.g., delithiation) of the target ion.

In pymatgen, this exact analytical bounding is extracted using PhaseDiagram.get_transition_chempots(mobile_element).

Calculate Global Phase Diagram boundaries: For the composition of the target phase, identifying the critical chemical potentials ($\mu_{\text{Li}}$) where stable facets on the phase diagram intersect.
Identify the stable Region: Evaluating an intermediary point in each discrete chemical potential band on the GrandPotentialPhaseDiagram to check if the exact composition is structurally present on the extended hull. If the material is metastable (E_hull > 0), its intrinsic ECW is always exactly [0.0 V, 0.0 V].
Reference Scale Conversion: The bounds are translated from absolute chemical potentials into voltages versus the pure standard state metal: $V = -(\mu_{\text{Li}} - \mu_{\text{Li, ref}})$.

Instructions

To compute the intrinsic ECW of a material, utilize the calculate_ecw.py script. The script automatically handles Materials Project thermodynamic entries, phase diagram construction, and calculates the exact analytical grand-potential limits using .get_transition_chempots().

bash

${CLAUDE_SKILL_DIR}/../../venv/run cpu python ${CLAUDE_SKILL_DIR}/scripts/calculate_ecw.py --mp-id mp-1183147 --mobile-ion Li

Script Arguments

--mp-id: The Materials Project ID of the desired structure (e.g., mp-1183147 for LGPS).
--mobile-ion: The symbol of the mobile ion specifying the redox couple (default: Li).

Examples

Show full SKILL.md (310 more words)Show less

Example 1: Reproducing Solid Electrolyte Literature ECW

You can independently reproduce the exact intrinsic thermodynamic stability windows (Table 1) reported in the original Zhu et al. (2015) manuscript using the script provided in this skill.

bash

${CLAUDE_SKILL_DIR}/../../venv/run cpu python ${CLAUDE_SKILL_DIR}/examples/literature_reproduction/reproduce_table1.py

[!NOTE] Explaining Historical Discrepancies: While the calculated lower boundaries ($V_{\text{red}}$) match Table 1 directly, you will see $V_{\text{ox}}$ values diverge slightly (by 0.1V - 0.3V). This is an expected artifact of Database Evolution. The 2015 calculations relied on legacy GGA parameters; Materials Project released completely new thermodynamic corrections (the MP2020 schema) specifically adjusting the formation energies of gasses and anions (like $S$ and $O_2$), alongside adding tens of thousands of newly competitive stable phases.

Constraints

Environments: The analytical scripts here rely strictly on standard pymatgen definitions and mp-api interactions, so every command runs in the cpu environment.
Energy Consistency: The ComputedEntry for the candidate phase must share identical calculation parameters (pseudopotentials, U-values, relaxations) with the baseline structures comprising the PhaseDiagram object.
Reference Accuracy: Ensure the Phase Diagram holds an accurate ground state reference for the metallic mobile ion.
Phase Coverage: To appropriately predict $V_{\text{red}}$ and $V_{\text{ox}}$, the supplied pd must be fully comprehensive of all thermodynamically competing phases occurring within the target generic chemical system (e.g., for Li10GeP2S12, the PD must include the entirety of the Li-Ge-P-S quaternary compositional space).
Physical Interpretation of Metastability: If $E_{\text{hull}} > 0$ meV/atom, the script will mathematically return an ECW of [0.0V, 0.0V]. This strictly reflects thermodynamic conditions. If you need to force a metastable compound onto the hull to view its artificial "pseudo-stability" limit (as done in Zhu 2015), manually set entry = ComputedEntry(composition, hull_energy - 1e-5) before passing into the logic.

References

Zhu, Y., He, X. & Mo, Y. "Origin of Outstanding Stability in the Lithium Solid Electrolyte Materials: Insights from Thermodynamic Analyses Based on First-Principles Calculations". ACS Appl. Mater. Interfaces 7, 23685–23693 (2015). DOI: 10.1021/acsami.5b07517

Author: Bowen Deng Contact: GitHub @learningmatter-mit

Files

SKILL.md and 3 other files (scripts) in skills/mat-electrochemical-window of learningmatter-mit/AtomisticSkills.

SKILL.md
examples/literature_reproduction/README.md
examples/literature_reproduction/reproduce_table1.py
scripts/calculate_ecw.py

Open the folder on GitHubat commit 7f2d86d

Compare with similar skills

Mat Electrochemical Window 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.

Mat Electrochemical Window compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Mat Electrochemical Window this skilllearningmatter-mit/AtomisticSkills	175	—	~1.4k	Automated safety check: Pass	MIT	yesterday
Windows Desktop E2Eaffaan-m/ECC	274k	1 repos	~7.6k	Automated safety check: Pass	MIT	2 days ago
Windows Desktop E2Eaffaan-m/ECC	274k	—	~5.5k	Automated safety check: Pass	MIT	2 days ago
Busybox On Windowsdavila7/claude-code-templates	32k	6 repos	~480	Automated safety check: Pass	MIT	today
Cpp Coding Standardsaffaan-m/ECC	274k	4 repos	~5.6k	Automated safety check: Pass	MIT	2 days ago
Java Coding Standardsaffaan-m/ECC	274k	1 repos	~2.9k	Automated safety check: Pass	MIT	2 days ago

Similar skills

Windows Desktop E2E
affaan-m/ECC
E2E testing for Windows native desktop apps (WPF, WinForms, Win32/MFC, Qt) using pywinauto and Windows UI Automation.
274k GitHub starsUsed in 1 repo~7.6k tokens
Testing & QAAuto-check passed
Windows Desktop E2E
affaan-m/ECC
E2E testing for Windows native desktop apps (WPF, WinForms, Win32/MFC, Qt) using pywinauto and Windows UI Automation.
274k GitHub stars~5.5k tokensUpdated 2 days ago
Testing & QAAuto-check passed
Busybox On Windows
davila7/claude-code-templates
How to use a Win32 build of BusyBox to run many of the standard UNIX command line tools on Windows.
32k GitHub starsUsed in 6 repos~480 tokens
Auto-check passed
Cpp Coding Standards
affaan-m/ECC
C++ coding standards based on the C++ Core Guidelines (isocpp.github.io).
274k GitHub starsUsed in 4 repos~5.6k tokens
DevelopmentAuto-check passed
Java Coding Standards
affaan-m/ECC
Java coding standards for Spring Boot and Quarkus services: naming, immutability, Optional usage, streams, exceptions, generics, CDI, reactive patterns, and project layout.
274k GitHub starsUsed in 1 repo~2.9k tokens
DevelopmentAuto-check passed
Windows Hardening
sickn33/agentic-awesome-skills
Harden Windows servers per security baselines and CIS benchmarks.
47k GitHub starsUsed in 2 repos~4.4k tokens
Auto-check passed

Questions about Mat Electrochemical Window

What does Mat Electrochemical Window do?

Calculate the intrinsic electrochemical stability window (ECW) of a material using standard phase diagram thermodynamic methods. Mat Electrochemical Window is an agent skill from learningmatter-mit/AtomisticSkills. Calculate the intrinsic electrochemical stability window (ECW) of a material using standard phase diagram thermodynamic methods.

How do I install Mat Electrochemical Window in Claude Code?

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

How do I install Mat Electrochemical Window in Codex?

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

Can I use Mat Electrochemical Window 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-electrochemical-window -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-electrochemical-window, .gemini/skills/mat-electrochemical-window, .github/skills/mat-electrochemical-window and .opencode/skills/mat-electrochemical-window in your project.

What does Mat Electrochemical Window need to run?

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

Does Mat Electrochemical Window access the network?

SKILL.md names 2 domains. As links in the text: doi.org and github.com. This is read from the text; nothing was executed.

Is Mat Electrochemical Window 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 Electrochemical Window use?

Mat Electrochemical Window 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 Electrochemical Window use?

About 1.4k tokens (SKILL.md is roughly 5.7k 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 Electrochemical Window?

Skills that share tags, products or a category with Mat Electrochemical Window: Windows Desktop E2E (affaan-m/ECC, 274k stars), Windows Desktop E2E (affaan-m/ECC, 274k stars), Busybox On Windows (davila7/claude-code-templates, 32k stars) and Cpp Coding Standards (affaan-m/ECC, 274k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Mat Electrochemical Window?

learningmatter-mit (a GitHub organization) maintains it in learningmatter-mit/AtomisticSkills, which has 175 GitHub stars. The repository holds 129 skills in this directory. The repository was last updated on October 6, 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.

Install Mat Electrochemical Window

Facts

At a glance

What it does

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Electrochemical Stability Window (ECW) Calculation

Goal

Methodology

Instructions

Script Arguments

Examples

Example 1: Reproducing Solid Electrolyte Literature ECW

Constraints

References

Files

Compare with similar skills

Similar skills

More from learningmatter-mit/AtomisticSkills

Questions about Mat Electrochemical Window