Prepare DFTB+ electronic-analysis task inputs based on prior ground-state context.

LGPL-3.0-or-laterAuto-check passed

Install Electronic

skills CLI
$ npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill electronic -a claude-code

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

GitHub CLI
$ gh skill install jinzhezenggroup/computational-chemistry-agent-skills electronic --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/jinzhezenggroup/computational-chemistry-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/quantum-chemistry/dftbplus/electronic .claude/skills/electronic && 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
electronic
GitHub stars
148
Token cost
~340 tokens
SKILL.md length
106 words
Files
1
Skills in repo
62
Repo updated
First seen
Licence
LGPL-3.0-or-later

At a glance

Prepare DFTB+ electronic-analysis task inputs based on prior ground-state context.

  • Works in 4 steps: analysis-stage input/script updates → prerequisite check summary → settings summary and assumptions → …
  • The user requests band/DOS-style analyses and needs prerequisite-aware setup
  • SKILL.md covers Scope, Prerequisites, Must provide and Usually should be explicit, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Electronic is an agent skill from jinzhezenggroup/computational-chemistry-agent-skills. Prepare DFTB+ electronic-analysis task inputs based on prior ground-state context. Use when the user requests band/DOS-style analyses and needs prerequisite-aware setup.

Its SKILL.md is about 340 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 prior ground-state context, valid Slater-Koster parameter files, and runnable DFTB+ environment.

The repository describes itself as: Agent skills to run computational-chemistry tasks, used in OpenClaw. The licence is LGPL-3.0-or-later.

When your agent uses it

  • The user requests band/DOS-style analyses and needs prerequisite-aware setup

Example prompts

  • “/electronic”

Requirements

  • Compatibility (from SKILL.md): Requires prior ground-state context, valid Slater-Koster parameter files, and runnable DFTB+ environment.

Workflow steps

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

  1. analysis-stage input/script updates
  2. prerequisite check summary
  3. settings summary and assumptions
  4. handoff note to dpdisp-submit if execution is requested

What it can do on your machine

Read from SKILL.md and the folder at commit 5c19e75. 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

    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.

  • Network

    No URLs in SKILL.md.

    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.

  • Compatibility

    Requires prior ground-state context, valid Slater-Koster parameter files, and runnable DFTB+ environment.

    From compatibility in the SKILL.md frontmatter.

Context cost

Electronic loads about 340 tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 106 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~45
When it runs · the whole SKILL.md, loaded when a task matches
~340

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from jinzhezenggroup/computational-chemistry-agent-skills at commit 5c19e75, republished under its LGPL-3.0-or-later licence (© jinzhezenggroup). 106 words, ~340 tokens.

Download SKILL.mdSave it as .claude/skills/electronic/SKILL.md (or your agent's skills folder).
name
electronic
description
Prepare DFTB+ electronic-analysis task inputs based on prior ground-state context. Use when the user requests band/DOS-style analyses and needs prerequisite-aware setup.
compatibility
Requires prior ground-state context, valid Slater-Koster parameter files, and runnable DFTB+ environment.
catalog-hidden
true
license
LGPL-3.0-or-later
metadata.author
qqgu
metadata.version
0.1.0
metadata.repository
https://github.com/dftbplus/dftbplus

DFTB+ Electronic Analysis (Subskill)

Scope

This skill prepares post-ground-state electronic-analysis tasks.

It should:

  • verify prerequisite context
  • prepare analysis-specific input controls
  • report assumptions and unresolved choices

It should not submit or execute jobs.

Prerequisites

Require explicit prior converged context compatible with requested analysis.

If prerequisites are missing, stop and ask for them.

Must provide

  • source context path
  • analysis intent (band, dos, or both)
  • path/mesh policy as applicable
  • resolution/broadening policy

Usually should be explicit

  • k-path convention source
  • projection settings if needed
  • output format expectations

Expected output

  1. analysis-stage input/script updates
  2. prerequisite check summary
  3. settings summary and assumptions
  4. handoff note to dpdisp-submit if execution is requested

© jinzhezenggroup, LGPL-3.0-or-later. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in quantum-chemistry/dftbplus/electronic of jinzhezenggroup/computational-chemistry-agent-skills.

Open the folder on GitHubat commit 5c19e75

Compare with similar skills

Electronic 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.

Electronic compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Electronic this skilljinzhezenggroup/computational-chemistry-agent-skills148—~340Automated safety check: PassLGPL-3.0-or-later
Desktop ElectronOpenHands/OpenHands91k—~302Automated safety check: PassMIT
Electron App Automationvercel-labs/agent-browser44k5 repos~1.7kAutomated safety check: PassApache-2.0
Audit Preparationsickn33/agentic-awesome-skills47k1 repos~5.3kAutomated safety check: PassMIT
Od Next Media Inputsnexu-io/open-design100k—~1.1kAutomated safety check: PassApache-2.0
Search Inputthedaviddias/Front-End-Checklist74k—~402Automated safety check: PassMIT

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Questions about Electronic

What does Electronic do?

Prepare DFTB+ electronic-analysis task inputs based on prior ground-state context. Electronic is an agent skill from jinzhezenggroup/computational-chemistry-agent-skills. Prepare DFTB+ electronic-analysis task inputs based on prior ground-state context.

When should I use Electronic?

Electronic fits situations like: the user requests band/DOS-style analyses and needs prerequisite-aware setup.

How do I install Electronic in Claude Code?

Run `npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill electronic -a claude-code`. Or copy the skill folder (quantum-chemistry/dftbplus/electronic in jinzhezenggroup/computational-chemistry-agent-skills) into .claude/skills/electronic in your project. Claude Code loads it when a task matches its description.

How do I install Electronic in Codex?

Run `npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill electronic -a codex`. Or copy the skill folder (quantum-chemistry/dftbplus/electronic in jinzhezenggroup/computational-chemistry-agent-skills) into .agents/skills/electronic in your project. Codex loads it when a task matches its description.

Can I use Electronic 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 jinzhezenggroup/computational-chemistry-agent-skills --skill electronic -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/electronic, .gemini/skills/electronic, .github/skills/electronic and .opencode/skills/electronic in your project.

What does Electronic need to run?

SKILL.md names no scripts, command-line tools or credentials: Electronic is instructions for the agent only. Compatibility (from SKILL.md): Requires prior ground-state context, valid Slater-Koster parameter files, and runnable DFTB+ environment..

Does Electronic access the network?

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.

Is Electronic 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. Review the folder before installing.

What licence does Electronic use?

Electronic is published under the LGPL-3.0-or-later licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Electronic use?

About 340 tokens (SKILL.md is roughly 1.4k 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 Electronic?

Skills that share tags, products or a category with Electronic: Desktop Electron (OpenHands/OpenHands, 91k stars), Electron App Automation (vercel-labs/agent-browser, 44k stars), Audit Preparation (sickn33/agentic-awesome-skills, 47k stars) and Od Next Media Inputs (nexu-io/open-design, 100k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Electronic?

jinzhezenggroup (a GitHub organization) maintains it in jinzhezenggroup/computational-chemistry-agent-skills, which has 148 GitHub stars. The repository holds 62 skills in this directory. The repository was last updated on October 9, 2026.

Source: jinzhezenggroup/computational-chemistry-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.