Generate
alirezarezvani/claude-skills
Generate Playwright tests. An agent skill from alirezarezvani/claude-skills.
Use AmberTools antechamber for molecular force field parameterization.
$ npx skills add Hello-QM/catgo-LRG --skill antechamber -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Hello-QM/catgo-LRG antechamber --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/antechamber .claude/skills/antechamber && 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 "antechamber" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/antechamber into .claude/skills/antechamber/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "antechamber", 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/antechamberType 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 antechamber -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Hello-QM/catgo-LRG antechamber --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/antechamber .agents/skills/antechamber && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "antechamber" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/antechamber into .agents/skills/antechamber/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "antechamber", 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 antechamber -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Hello-QM/catgo-LRG antechamber --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/antechamber .cursor/skills/antechamber && 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 "antechamber" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/antechamber into .cursor/skills/antechamber/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "antechamber", 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/antechamber--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 antechamber -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Hello-QM/catgo-LRG antechamber --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/antechamber .gemini/skills/antechamber && 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 "antechamber" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/antechamber into .gemini/skills/antechamber/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "antechamber", 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 antechamberInstalls 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 antechamber -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/antechamber .github/skills/antechamber && 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 "antechamber" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/antechamber into .github/skills/antechamber/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "antechamber", 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 antechamber -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 antechamber --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/antechamber .opencode/skills/antechamber && 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 "antechamber" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/antechamber into .opencode/skills/antechamber/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "antechamber", 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.
antechamberUse AmberTools antechamber for molecular force field parameterization.
Antechamber is an agent skill from Hello-QM/catgo-LRG. Use AmberTools antechamber for molecular force field parameterization. Generates GAFF/GAFF2 parameters and AM1-BCC or RESP charges for use in AMBER or LAMMPS classical MD simulations.
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. Compatibility notes: Requires AmberTools installed (conda install -c conda-forge ambertools). antechamber, parmchk2, and tleap must be in PATH.
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.
3 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 bash).
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.
Requires AmberTools installed (conda install -c conda-forge ambertools). antechamber, parmchk2, and tleap must be in PATH.
From compatibility in the SKILL.md frontmatter.
Antechamber loads about 1.1k tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 279 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). 279 words, ~1,138 tokens.
.claude/skills/antechamber/SKILL.md (or your agent's skills folder).antechamber --help)pop=mk iop(6/33=2) ESP datacatgo_workflow_engine(action="add_task", params={
"workflow_id": "wf_xxx",
"task_type": "shell",
"name": "antechamber_param",
"command": "bash parameterize.sh",
"input_files": {
"parameterize.sh": "<script content>",
"molecule.pdb": "<molecule structure>"
},
"system_name": "ligand_param"
})#!/bin/bash
set -e
# Step 1: Assign GAFF2 atom types and AM1-BCC charges
antechamber -i molecule.pdb -fi pdb \
-o molecule.mol2 -fo mol2 \
-c bcc -at gaff2 \
-nc 0 -m 1 \
-rn LIG
# Step 2: Check for missing parameters
parmchk2 -i molecule.mol2 -f mol2 \
-o molecule.frcmod -a Y
# Step 3: Build topology with tleap
cat > tleap.in << 'EOF'
source leaprc.gaff2
LIG = loadmol2 molecule.mol2
loadamberparams molecule.frcmod
check LIG
saveamberparm LIG molecule.prmtop molecule.inpcrd
savemol2 LIG molecule_leap.mol2 1
quit
EOF
tleap -f tleap.in > tleap.log 2>&1
echo "Generated: molecule.prmtop molecule.inpcrd"For higher-quality charges, use RESP from Gaussian ESP:
#!/bin/bash
set -e
# Step 1: Generate Gaussian input for ESP
antechamber -i molecule.pdb -fi pdb \
-o molecule.gjf -fo gcrt \
-gm "%mem=4GB" -gn "%nproc=8" \
-ge "molecule.gesp" \
-gk "#HF/6-31G* opt pop=mk iop(6/33=2)"
# Step 2: Run Gaussian (separate task)
# g16 molecule.gjf
# Step 3: Extract RESP charges from Gaussian output
antechamber -i molecule.log -fi gout \
-o molecule.mol2 -fo mol2 \
-c resp -at gaff2 \
-nc 0 -m 1 -rn LIG
# Step 4: Check and build topology (same as AM1-BCC)
parmchk2 -i molecule.mol2 -f mol2 -o molecule.frcmod -a Y
cat > tleap.in << 'EOF'
source leaprc.gaff2
LIG = loadmol2 molecule.mol2
loadamberparams molecule.frcmod
check LIG
saveamberparm LIG molecule.prmtop molecule.inpcrd
quit
EOF
tleap -f tleap.in > tleap.log 2>&1After parameterization, solvate the molecule:
source leaprc.water.tip3p
LIG = loadmol2 molecule.mol2
loadamberparams molecule.frcmod
solvateBox LIG TIP3PBOX 12.0
addIonsRand LIG Na+ 0 Cl- 0 # Neutralize
saveamberparm LIG solvated.prmtop solvated.inpcrd
quit| Flag | Purpose |
|---|---|
-c bcc | AM1-BCC charges (fast, good for most organic molecules) |
-c resp | RESP charges (requires Gaussian ESP, higher quality) |
-at gaff2 | GAFF2 atom types (preferred over gaff) |
-nc 0 | Net charge of molecule |
-m 1 | Spin multiplicity |
-rn LIG | Residue name (3 chars max) |
-fi / -fo | Input/output format (pdb, mol2, gout, gcrt) |
-nc must match the actual molecular charge. Wrong charge gives wrong AM1-BCC charges.parmchk2 with -a Y fills gaps by analogy but warns. Check molecule.frcmod for ATTN lines.pop=mk iop(6/33=2). AM1-BCC does not.-at gaff2, leaprc.gaff2) for improved parameters. Do not mix GAFF and GAFF2.© 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/antechamber of Hello-QM/catgo-LRG.
Open the folder on GitHubat commit fd6291b
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in Hello-QM/catgo-LRG, which our catalogue first saw on October 7, 2026.
Antechamber 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 |
|---|---|---|---|---|---|---|
| Antechamber this skillHello-QM/catgo-LRG | 205 | 1 repos | ~1.1k | Automated safety check: Pass | AGPL-3.0 | |
| Generatealirezarezvani/claude-skills | 28k | 1 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Fal Generatenexu-io/open-design | 100k | — | ~306 | Automated safety check: Pass | Apache-2.0 | |
| Video Generationbytedance/deer-flow | 83k | 4 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Image Generationonyx-dot-app/onyx | 32k | 1 repos | ~1.7k | Automated safety check: Pass | Custom licence | |
| Structured Image Generationbytedance/deer-flow | 83k | 5 repos | ~2.9k | Automated safety check: Pass | MIT |
alirezarezvani/claude-skills
Generate Playwright tests. An agent skill from alirezarezvani/claude-skills.
nexu-io/open-design
Generate images and videos using fal.ai AI models. An agent skill from nexu-io/open-design.
bytedance/deer-flow
Generates short videos from a structured JSON prompt, optionally guided by a reference image used as the first or last frame.
onyx-dot-app/onyx
Generate or edit raster images (photos, illustrations, textures, sprites, mockups, logos, infographics) using the workspace's configured image-generation provider via onyx-cli image.
bytedance/deer-flow
Turns an image request into a structured JSON prompt and runs a bundled Python script to generate the picture, optionally guided by reference images.
sickn33/agentic-awesome-skills
Generate and edit images/video with Google's Gemini media models (Nano Banana 2/Pro, Gemini Omni Flash), with cost-approval gates, reference-image support, and a prompt/output log per call.
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.
Use AmberTools antechamber for molecular force field parameterization. Antechamber is an agent skill from Hello-QM/catgo-LRG. Use AmberTools antechamber for molecular force field parameterization.
Run `npx skills add Hello-QM/catgo-LRG --skill antechamber -a claude-code`. Or copy the skill folder (.claude/skills/antechamber in Hello-QM/catgo-LRG) into .claude/skills/antechamber in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Hello-QM/catgo-LRG --skill antechamber -a codex`. Or copy the skill folder (.claude/skills/antechamber in Hello-QM/catgo-LRG) into .agents/skills/antechamber 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 antechamber -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/antechamber, .gemini/skills/antechamber, .github/skills/antechamber and .opencode/skills/antechamber in your project.
SKILL.md names no scripts, command-line tools or credentials: Antechamber is instructions for the agent only. Compatibility (from SKILL.md): Requires AmberTools installed (conda install -c conda-forge ambertools). antechamber, parmchk2, and tleap must be in PATH. .
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.
Antechamber 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 4.6k 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 Antechamber: Generate (alirezarezvani/claude-skills, 28k stars), Fal Generate (nexu-io/open-design, 100k stars), Video Generation (bytedance/deer-flow, 83k stars) and Image Generation (onyx-dot-app/onyx, 32k 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.