Compose Atoms
lobehub/lobehub
Splits a heavy front-end domain into capability atoms that each host imports separately, sinking state into each atom instead of adding mode or readOnly flags.
A skill your agent uses when the user asks to build, modify, or prepare atomic structures: slabs, adsorbates, supercells, doping, defects, or fetching from databases.
$ npx skills add Hello-QM/catgo-LRG --skill structure-router -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Hello-QM/catgo-LRG structure-router --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/server/catgo/workflow/skills/structure .claude/skills/structure-router && 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 "structure-router" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/server/catgo/workflow/skills/structure into .claude/skills/structure-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structure-router", 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/server/catgo/workflow/skills/structureType 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 structure-router -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Hello-QM/catgo-LRG structure-router --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/server/catgo/workflow/skills/structure .agents/skills/structure-router && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "structure-router" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/server/catgo/workflow/skills/structure into .agents/skills/structure-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structure-router", 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 structure-router -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Hello-QM/catgo-LRG structure-router --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/server/catgo/workflow/skills/structure .cursor/skills/structure-router && 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 "structure-router" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/server/catgo/workflow/skills/structure into .cursor/skills/structure-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structure-router", 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 server/catgo/workflow/skills/structure--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 structure-router -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Hello-QM/catgo-LRG structure-router --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/server/catgo/workflow/skills/structure .gemini/skills/structure-router && 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 "structure-router" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/server/catgo/workflow/skills/structure into .gemini/skills/structure-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structure-router", 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 structure-routerInstalls 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 structure-router -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/server/catgo/workflow/skills/structure .github/skills/structure-router && 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 "structure-router" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/server/catgo/workflow/skills/structure into .github/skills/structure-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structure-router", 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 structure-router -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 structure-router --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/server/catgo/workflow/skills/structure .opencode/skills/structure-router && 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 "structure-router" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/server/catgo/workflow/skills/structure into .opencode/skills/structure-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structure-router", 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.
structure-routerA skill your agent uses when the user asks to build, modify, or prepare atomic structures: slabs, adsorbates, supercells, doping, defects, or fetching from databases.
Structure Router is an agent skill from Hello-QM/catgo-LRG. Use when the user asks to build, modify, or prepare atomic structures: slabs, adsorbates, supercells, doping, defects, or fetching from databases.
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.
5 steps, taken from the first numbered list 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 and python).
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.
Structure Router loads about 1.1k tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 255 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). 255 words, ~1,119 tokens.
.claude/skills/structure-router/SKILL.md (or your agent's skills folder).This skill routes structure building requests to the correct sub-skill.
| User Intent | Sub-Skill | Key Indicators |
|---|---|---|
| Surface slab from bulk | slab/ | "slab", "surface", "Miller index", "(111)", "(110)" |
| Place adsorbate on surface | adsorbate/ | "adsorb", "place OH", "add CO", "binding site" |
| Substitutional doping | doping/ | "dope", "substitute", "replace Fe with Co" |
| Fetch crystal from database | (direct) | "get from MP", "fetch TiO2", "Materials Project" |
| Fetch molecule | (direct) | "get CO molecule", "fetch water" |
| Make supercell | (direct) | "supercell", "2x2x1", "expand" |
{"tool": "catgo_structure", "arguments": {"action": "slab", ...}}
{"tool": "catgo_structure", "arguments": {"action": "supercell", ...}}
{"tool": "catgo_structure", "arguments": {"action": "add_atom", ...}}
{"tool": "catgo_structure", "arguments": {"action": "delete_atoms", ...}}
{"tool": "catgo_structure", "arguments": {"action": "replace_atom", ...}}{"tool": "catgo_fetch", "arguments": {"action": "crystal", "formula": "TiO2", "source": "mp"}}
{"tool": "catgo_fetch", "arguments": {"action": "molecule", "name": "water"}}{"tool": "catgo_view", "arguments": {"action": "get_state"}}
{"tool": "catgo_view", "arguments": {"action": "push", "structure": {...}}}Most catalysis workflows follow this structure preparation pipeline:
1. Fetch bulk crystal catgo_fetch(action: crystal)
2. Generate slab catgo_structure(action: slab)
3. Make supercell catgo_structure(action: supercell)
4. (Optional) Dope catgo_structure(action: replace_atom)
5. Place adsorbate catgo_structure(action: add_atom)
6. Verify structure catgo_view(action: get_state){"tool": "catgo_fetch", "arguments": {
"action": "crystal", "formula": "Pt", "source": "mp"
}}{"tool": "catgo_structure", "arguments": {
"action": "slab", "miller_index": [1,1,1],
"min_slab_size": 12.0, "min_vacuum_size": 15.0
}}{"tool": "catgo_structure", "arguments": {
"action": "supercell", "scaling": [2, 2, 1]
}}{"tool": "catgo_structure", "arguments": {
"action": "add_atom", "element": "O", "position": [2.77, 1.60, 14.5]
}}{"tool": "catgo_structure", "arguments": {
"action": "add_atom", "element": "H", "position": [2.77, 1.60, 15.47]
}}{"tool": "catgo_view", "arguments": {"action": "get_state"}}from catgo.workflow import Workflow
wf = Workflow("Structure prep")
# Fetch and input
inp = wf.add_task("structure_input", structure=bulk_json)
# Build slab
slab = wf.add_task("slab_gen",
structure=inp.output.structure,
miller_index=[1, 1, 1],
min_slab_size=12.0,
min_vacuum_size=15.0)
# Place adsorbate
ads = wf.add_task("adsorbate_place",
structure=slab.output.structure,
adsorbate="OH",
site_type="top",
site_index=0)After building any structure, verify:
Use catgo_view(action: get_state) to inspect the current structure.
catgo_view before
proceeding to the next step.© 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 server/catgo/workflow/skills/structure of Hello-QM/catgo-LRG.
Open the folder on GitHubat commit fd6291b
Structure Router 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 |
|---|---|---|---|---|---|---|
| Structure Router this skillHello-QM/catgo-LRG | 205 | — | ~1.1k | Automated safety check: Pass | AGPL-3.0 | |
| Compose Atomslobehub/lobehub | 83k | — | ~2.6k | Automated safety check: Pass | Custom licence | |
| Audit Preparationsickn33/agentic-awesome-skills | 47k | 1 repos | ~5.3k | Automated safety check: Pass | MIT | |
| Router Onweave-os/router | 5.6k | — | ~169 | Automated safety check: Pass | Apache-2.0 | |
| Router Offweave-os/router | 5.6k | — | ~183 | Automated safety check: Pass | Apache-2.0 | |
| Acp Routeropenclaw/openclaw | 392k | — | ~2.4k | Automated safety check: Pass | MIT |
lobehub/lobehub
Splits a heavy front-end domain into capability atoms that each host imports separately, sinking state into each atom instead of adding mode or readOnly flags.
sickn33/agentic-awesome-skills
Audit preparation register: required document, period covered, request and receipt dates, preparer and reviewer, auditor queries and adjustments.
weave-os/router
Route Codex through the Weave Router again (turn it back on).
weave-os/router
Route Codex to its default provider again (turn the Weave Router off).
openclaw/openclaw
Route plain-language requests for Claude Code, Cursor, Copilot, OpenClaw ACP, OpenCode, Gemini CLI, Qwen, Kiro, Kimi, iFlow, Factory Droid, Kilocode, or explicit ACP harness work into either…
CherryHQ/cherry-studio
Prepares a Cherry Studio release by resolving the version, collecting commits, writing bilingual release notes, updating version files and creating a release branch.
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
Run LAMMPS molecular dynamics with DeePMD-kit machine learning potentials.
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.
A skill your agent uses when the user asks to build, modify, or prepare atomic structures: slabs, adsorbates, supercells, doping, defects, or fetching from databases. Structure Router is an agent skill from Hello-QM/catgo-LRG. Use when the user asks to build, modify, or prepare atomic structures: slabs, adsorbates, supercells, doping, defects, or fetching from databases.
Structure Router fits situations like: the user asks to build; prepare atomic structures: slabs; fetching from databases.
Run `npx skills add Hello-QM/catgo-LRG --skill structure-router -a claude-code`. Or copy the skill folder (server/catgo/workflow/skills/structure in Hello-QM/catgo-LRG) into .claude/skills/structure-router in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Hello-QM/catgo-LRG --skill structure-router -a codex`. Or copy the skill folder (server/catgo/workflow/skills/structure in Hello-QM/catgo-LRG) into .agents/skills/structure-router 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 structure-router -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/structure-router, .gemini/skills/structure-router, .github/skills/structure-router and .opencode/skills/structure-router in your project.
SKILL.md names no scripts, command-line tools or credentials: Structure Router is instructions for the agent only. Our summary lists: Python 3.
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.
Structure Router 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 4.5k 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 Structure Router: Compose Atoms (lobehub/lobehub, 83k stars), Audit Preparation (sickn33/agentic-awesome-skills, 47k stars), Router On (weave-os/router, 5.6k stars) and Router Off (weave-os/router, 5.6k 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.