Route CP2K requests to task-specific subskills based on user intent.

MITAuto-check passedResearch & Science

Install Dft Cp2k

skills CLI
$ npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill dft-cp2k -a claude-code

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

GitHub CLI
$ gh skill install jinzhezenggroup/computational-chemistry-agent-skills dft-cp2k --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/dft-cp2k .claude/skills/dft-cp2k && 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
dft-cp2k
GitHub stars
148
Token cost
~578 tokens
SKILL.md length
220 words
Files
2 (incl. references)
Skills in repo
62
Repo updated
First seen
Licence
MIT

At a glance

Route CP2K requests to task-specific subskills based on user intent.

  • Works in 5 steps: If user requests single-point… → If user requests geometry optimization:… → If user requests molecular dynamics:… → …
  • The user asks for CP2K workflows and you must decide between static
  • SKILL.md covers Purpose, Scope, Hard requirement and Routing rules, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Dft Cp2k is an agent skill from jinzhezenggroup/computational-chemistry-agent-skills. Route CP2K requests to task-specific subskills based on user intent. Use when the user asks for CP2K workflows and you must decide between static, relaxation, molecular dynamics, or electronic-analysis preparation. This orchestration skill dispatches to the correct CP2K subskill and enforces consistent handoff to submission skills.

Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/commands-and-workflow.md`). Compatibility notes: Requires a runnable CP2K environment and suitable basis/pseudopotential data for target elements.

It sits in Research & Science, covering Physical and earth sciences. The repository describes itself as: Agent skills to run computational-chemistry tasks, used in OpenClaw. The licence is MIT.

When your agent uses it

  • The user asks for CP2K workflows and you must decide between static
  • Molecular dynamics
  • Electronic-analysis preparation

Example prompts

  • “/dft-cp2k”

Requirements

  • Compatibility (from SKILL.md): Requires a runnable CP2K environment and suitable basis/pseudopotential data for target elements.

Workflow steps

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

  1. If user requests single-point SCF/energy: route to dft-cp2k/static.
  2. If user requests geometry optimization: route to dft-cp2k/relax.
  3. If user requests molecular dynamics: route to dft-cp2k/md.
  4. If user requests electronic analysis workflow: route to dft-cp2k/electronic.
  5. If intent is ambiguous, ask one focused clarification question before routing.

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 a runnable CP2K environment and suitable basis/pseudopotential data for target elements.

    From compatibility in the SKILL.md frontmatter.

Context cost

Dft Cp2k loads about 578 tokens when it runs, and up to ~822 if it reads all its reference files. Until then it costs about 86 tokens; SKILL.md has 220 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~86
When it runs · the whole SKILL.md, loaded when a task matches
~578
With references · SKILL.md plus every file in references/, read only if the agent opens them
~822

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 MIT licence (© jinzhezenggroup). 220 words, ~578 tokens.

Download SKILL.mdSave it as .claude/skills/dft-cp2k/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
dft-cp2k
description
Route CP2K requests to task-specific subskills based on user intent. Use when the user asks for CP2K workflows and you must decide between static, relaxation, molecular dynamics, or electronic-analysis preparation. This orchestration skill dispatches to the correct CP2K subskill and enforces consistent handoff to submission skills.
compatibility
Requires a runnable CP2K environment and suitable basis/pseudopotential data for target elements.
license
MIT
metadata.author
qqgu
metadata.version
0.1.0
metadata.repository
https://github.com/cp2k/cp2k

CP2K Task Router

Use this skill as the top-level CP2K orchestration layer.

Purpose

This skill routes requests to one task-specific CP2K subskill path:

  • dft-cp2k/static
  • dft-cp2k/relax
  • dft-cp2k/md
  • dft-cp2k/electronic

Scope

This router skill should:

  • require user-provided structure or prerequisite context
  • classify request intent into one CP2K task type
  • collect minimal shared context before dispatch
  • delegate detailed parameter handling to selected subskill
  • enforce consistent output/handoff policy across subskills

This router skill should not:

  • own detailed templates for all CP2K tasks
  • execute or submit calculations
  • bypass subskill-specific guardrails

Hard requirement

The user must provide enough starting context:

  • structure input for static / relax / md
  • prerequisite converged context for electronic

If prerequisites are missing, stop and ask for them.

Routing rules

  1. If user requests single-point SCF/energy: route to dft-cp2k/static.
  2. If user requests geometry optimization: route to dft-cp2k/relax.
  3. If user requests molecular dynamics: route to dft-cp2k/md.
  4. If user requests electronic analysis workflow: route to dft-cp2k/electronic.
  5. If intent is ambiguous, ask one focused clarification question before routing.

Shared policy for all subskills

  • do not invent missing basis/potential files
  • expose assumptions and unresolved scientific choices explicitly
  • return handoff-ready task layout
  • if execution is requested, hand off to dpdisp-submit

Output from router

Provide:

  1. selected subskill path
  2. why it was selected
  3. minimal missing inputs (if any)
  4. explicit next step (invoke selected subskill)

© jinzhezenggroup, 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 1 other file (references) in quantum-chemistry/dft-cp2k of jinzhezenggroup/computational-chemistry-agent-skills.

  • SKILL.md
  • references/commands-and-workflow.md

Open the folder on GitHubat commit 5c19e75

Compare with similar skills

Dft Cp2k 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.

Dft Cp2k compared with similar skills
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PymatgenzLanqing/codex-claude-academic-skills4.7k11 repos~5kAutomated safety check: PassMIT
Cantera Ignition DelayK-Dense-AI/scientific-agent-skills48k1 repos~2.2kAutomated safety check: PassMIT
Weathertrpc-group/trpc-agent-go1.9k8 repos~591Automated safety check: PassApache-2.0
Pymol VisualizationChatMol/ChatMol373—~1.2kAutomated safety check: PassMIT

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Questions about Dft Cp2k

What does Dft Cp2k do?

Route CP2K requests to task-specific subskills based on user intent. Dft Cp2k is an agent skill from jinzhezenggroup/computational-chemistry-agent-skills. Route CP2K requests to task-specific subskills based on user intent.

When should I use Dft Cp2k?

Dft Cp2k fits situations like: the user asks for CP2K workflows and you must decide between static; molecular dynamics; electronic-analysis preparation.

How do I install Dft Cp2k in Claude Code?

Run `npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill dft-cp2k -a claude-code`. Or copy the skill folder (quantum-chemistry/dft-cp2k in jinzhezenggroup/computational-chemistry-agent-skills) into .claude/skills/dft-cp2k in your project. Claude Code loads it when a task matches its description.

How do I install Dft Cp2k in Codex?

Run `npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill dft-cp2k -a codex`. Or copy the skill folder (quantum-chemistry/dft-cp2k in jinzhezenggroup/computational-chemistry-agent-skills) into .agents/skills/dft-cp2k in your project. Codex loads it when a task matches its description.

Can I use Dft Cp2k 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 dft-cp2k -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dft-cp2k, .gemini/skills/dft-cp2k, .github/skills/dft-cp2k and .opencode/skills/dft-cp2k in your project.

What does Dft Cp2k need to run?

SKILL.md names no scripts, command-line tools or credentials: Dft Cp2k is instructions for the agent only. Compatibility (from SKILL.md): Requires a runnable CP2K environment and suitable basis/pseudopotential data for target elements..

Does Dft Cp2k 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 Dft Cp2k 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 Dft Cp2k use?

Dft Cp2k is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Dft Cp2k use?

About 578 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 244 tokens, read only when the agent opens those files.

What are the alternatives to Dft Cp2k?

Skills that share tags, products or a category with Dft Cp2k: Astropy (zLanqing/codex-claude-academic-skills, 4.7k stars), Pymatgen (zLanqing/codex-claude-academic-skills, 4.7k stars), Cantera Ignition Delay (K-Dense-AI/scientific-agent-skills, 48k stars) and Weather (trpc-group/trpc-agent-go, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dft Cp2k?

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.