Playwright Roll
microsoft/playwright-dotnet
Roll Playwright .NET to a new version
A skill your agent uses when the user asks to build a nanotube, roll up a 2D sheet into a tube, create a carbon nanotube (CNT), boron nitride nanotube (BNNT), or specify chiral indices (n, m).
$ npx skills add Hello-QM/catgo-LRG --skill nanotube-generation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Hello-QM/catgo-LRG nanotube-generation --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/Hello-QM/catgo-LRG.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/structure-nanotube .claude/skills/nanotube-generation && 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 "nanotube-generation" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/structure-nanotube into .claude/skills/nanotube-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nanotube-generation", 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/Hello-QM/catgo-LRG/tree/main/.claude/skills/structure-nanotubeType 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 Hello-QM/catgo-LRG --skill nanotube-generation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Hello-QM/catgo-LRG nanotube-generation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/structure-nanotube .agents/skills/nanotube-generation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "nanotube-generation" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/structure-nanotube into .agents/skills/nanotube-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nanotube-generation", 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 Hello-QM/catgo-LRG --skill nanotube-generation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Hello-QM/catgo-LRG nanotube-generation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/structure-nanotube .cursor/skills/nanotube-generation && 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 "nanotube-generation" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/structure-nanotube into .cursor/skills/nanotube-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nanotube-generation", 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/Hello-QM/catgo-LRG.git --path .claude/skills/structure-nanotube--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 Hello-QM/catgo-LRG --skill nanotube-generation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Hello-QM/catgo-LRG nanotube-generation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/structure-nanotube .gemini/skills/nanotube-generation && 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 "nanotube-generation" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/structure-nanotube into .gemini/skills/nanotube-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nanotube-generation", 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 Hello-QM/catgo-LRG nanotube-generationInstalls 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 Hello-QM/catgo-LRG --skill nanotube-generation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/structure-nanotube .github/skills/nanotube-generation && 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 "nanotube-generation" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/structure-nanotube into .github/skills/nanotube-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nanotube-generation", 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 Hello-QM/catgo-LRG --skill nanotube-generation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Hello-QM/catgo-LRG nanotube-generation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/structure-nanotube .opencode/skills/nanotube-generation && 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 "nanotube-generation" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/structure-nanotube into .opencode/skills/nanotube-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nanotube-generation", 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.
nanotube-generationA skill your agent uses when the user asks to build a nanotube, roll up a 2D sheet into a tube, create a carbon nanotube (CNT), boron nitride nanotube (BNNT), or specify chiral indices (n, m).
Nanotube Generation is an agent skill from Hello-QM/catgo-LRG. Use when the user asks to build a nanotube, roll up a 2D sheet into a tube, create a carbon nanotube (CNT), boron nitride nanotube (BNNT), or specify chiral indices (n, m).
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: AI-driven workbench for computational materials science — interactive 3D structure viewer, natural-language CatBot assistant, visual DAG workflow engine, HPC job submission… The licence is AGPL-3.0.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit fd6291b. 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From 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.
Nanotube Generation loads about 1.1k tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 402 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); files beside SKILL.md are not scanned.
The full file from Hello-QM/catgo-LRG at commit fd6291b, republished under its AGPL-3.0 licence (© Hello-QM). 402 words, ~1,063 tokens.
.claude/skills/nanotube-generation/SKILL.md (or your agent's skills folder).Nanotubes are formed by rolling a 2D sheet into a cylinder defined by chiral indices (n, m). The chirality determines electronic and mechanical properties.
Common applications:
| Type | Condition | Electronic Character (CNT) |
|---|---|---|
| Armchair | n = m | Metallic |
| Zigzag | m = 0 | Metallic if n mod 3 = 0, else semiconducting |
| Chiral | n != m, m != 0 | Metallic if (n - m) mod 3 = 0, else semiconducting |
{"tool": "catgo_nanotube_info", "arguments": {
"n": 10, "m": 0,
"bond_length": 1.42
}}Returns diameter, circumference, chiral angle, translational vector length, and estimated atom count without building the structure. Use this to check size before committing to a build.
{"tool": "catgo_nanotube_build", "arguments": {
"n": 10, "m": 0,
"length": 20.0,
"bond_length": 1.42
}}| Parameter | Description | Default |
|---|---|---|
n, m | Chiral indices | (required) |
length | Tube length in Angstroms | one translational period |
bond_length | C-C bond length in Angstroms | 1.42 |
The tool accepts either a loaded 2D structure from the viewer or explicit lattice vectors / basis coordinates. For carbon nanotubes, the default graphene sheet is used automatically.
/nanotube/info (POST), /nanotube/build (POST){"tool": "catgo_nanotube_info", "arguments": {
"n": 10, "m": 0
}}Verify the diameter (~7.8 A) and atom count are reasonable for DFT.
{"tool": "catgo_nanotube_build", "arguments": {
"n": 10, "m": 0,
"length": 12.5
}}{"tool": "catgo_view", "arguments": {"action": "get_state"}}Check: cylindrical geometry, no overlapping atoms, correct atom count.
{"tool": "catgo_workflow_engine", "arguments": {
"action": "create", "params": {"name": "(10,0) CNT relaxation"}
}}{"tool": "catgo_workflow_engine", "arguments": {
"action": "add_task", "params": {
"workflow_id": "<wf_id>",
"task_type": "geo_opt",
"params": {"software": "vasp", "ENCUT": 520, "ISPIN": 1,
"system_name": "CNT-10-0 relax"}
}
}}The backend supports multi-walled nanotubes via additional walls. Each wall is defined by its own chiral indices. The inter-wall spacing defaults to ~3.4 A (van der Waals distance for graphitic layers).
To build a BN nanotube or MoS2 nanotube:
{"tool": "catgo_fetch", "arguments": {
"action": "crystal", "formula": "BN", "source": "mc3d"
}}Then build the nanotube from the loaded structure.
catgo_nanotube_info before building.© Hello-QM, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .claude/skills/structure-nanotube of Hello-QM/catgo-LRG.
Open the folder on GitHubat commit fd6291b
Nanotube Generation 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 |
|---|---|---|---|---|---|---|
| Nanotube Generation this skillHello-QM/catgo-LRG | 205 | — | ~1.1k | Automated safety check: Pass | AGPL-3.0 | |
| Playwright Rollmicrosoft/playwright-dotnet | 3k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Bioconductor NanotubebioMate-AI/biomate-bioconductor-kb | 804 | — | ~966 | Automated safety check: Pass | Custom licence | |
| Release Cut And Demo Rollcarverauto/serviceradar | 921 | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | |
| Ib Find Short Rollstaskh/trading_skills | 376 | — | ~1.2k | Automated safety check: Notes | MIT | |
| Formax Rolling Plan Loop Workflowyusifeng/formax | 194 | — | ~309 | Automated safety check: Pass | MIT |
microsoft/playwright-dotnet
Roll Playwright .NET to a new version
bioMate-AI/biomate-bioconductor-kb
NanoTube includes functions for the processing, quality control, analysis, and visualization of NanoString nCounter data.
carverauto/serviceradar
Cut a ServiceRadar release and roll the Kubernetes demo namespace to the resulting published semver image tag through the guarded ArgoCD release branch.
staskh/trading_skills
Find roll options for existing short positions OR find best covered call/put to open against long stock.
yusifeng/formax
A skill your agent uses when the user wants a reusable rolling execution pattern (README + TODO-INDEX) like plans/web-reference-react-refactor, and wants to run delivery in small validated loops.
Ootto-AI/claude-content-skills
Turns a script into a shoot-ready shot list — every clip, angle and visual you need to film, in order.
Hello-QM/catgo-LRG
Drive a file-first, agent-in-the-loop computational campaign via a folder + markdown tree (no DB).
Hello-QM/catgo-LRG
Compute adsorption/reaction Gibbs free energies, free-energy diagrams, and electrochemical overpotentials (HER/ORR/OER/CO2RR/NRR) with VASP.
Hello-QM/catgo-LRG
Generate and manage ABINIT DFT calculations. An agent skill from Hello-QM/catgo-LRG.
Hello-QM/catgo-LRG
A skill your agent uses when the user asks to place an adsorbate molecule on a surface, find adsorption sites, or set up a surface+adsorbate model for DFT.
Hello-QM/catgo-LRG
A skill your agent uses when the user asks for adsorption energy, binding energy, or wants to compare how strongly a molecule binds to a surface.
Hello-QM/catgo-LRG
A skill your agent uses when the user asks to analyze computational results: Gibbs free energy, OER/HER/CO2RR overpotentials, adsorption energy, convergence tests, DOS/d-band analysis, or Bader…
A skill your agent uses when the user asks to build a nanotube, roll up a 2D sheet into a tube, create a carbon nanotube (CNT), boron nitride nanotube (BNNT), or specify chiral indices (n, m). Nanotube Generation is an agent skill from Hello-QM/catgo-LRG. Use when the user asks to build a nanotube, roll up a 2D sheet into a tube, create a carbon nanotube (CNT), boron nitride nanotube (BNNT), or specify chiral indices (n, m).
Nanotube Generation fits situations like: the user asks to build a nanotube; roll up a 2D sheet into a tube; create a carbon nanotube (CNT); boron nitride nanotube (BNNT).
Run `npx skills add Hello-QM/catgo-LRG --skill nanotube-generation -a claude-code`. Or copy the skill folder (.claude/skills/structure-nanotube in Hello-QM/catgo-LRG) into .claude/skills/nanotube-generation in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Hello-QM/catgo-LRG --skill nanotube-generation -a codex`. Or copy the skill folder (.claude/skills/structure-nanotube in Hello-QM/catgo-LRG) into .agents/skills/nanotube-generation 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 Hello-QM/catgo-LRG --skill nanotube-generation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nanotube-generation, .gemini/skills/nanotube-generation, .github/skills/nanotube-generation and .opencode/skills/nanotube-generation in your project.
SKILL.md names no scripts, command-line tools or credentials: Nanotube Generation is instructions for the agent only.
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.
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.
Nanotube Generation is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.1k tokens (SKILL.md is roughly 4.3k 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 Nanotube Generation: Playwright Roll (microsoft/playwright-dotnet, 3k stars), Bioconductor Nanotube (bioMate-AI/biomate-bioconductor-kb, 804 stars), Release Cut And Demo Roll (carverauto/serviceradar, 921 stars) and Ib Find Short Roll (staskh/trading_skills, 376 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Hello-QM (a GitHub user) maintains it in Hello-QM/catgo-LRG, which has 205 GitHub stars. The repository holds 75 skills in this directory. The repository was last updated on September 22, 2026.
Source: Hello-QM/catgo-LRG on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.