DiffDock Molecular Docking
K-Dense-AI/scientific-agent-skills
Predicts how small molecules bind to a protein with DiffDock, covering batch docking, pose ranking by confidence and checks on the results; not for binding affinity.
Cloud-based quantum chemistry platform with Python API. An agent skill from lamm-mit/scienceclaw.
The automated check flagged lines worth reading first. See the safety section below.
$ npx skills add lamm-mit/scienceclaw --skill rowan -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lamm-mit/scienceclaw rowan --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/lamm-mit/scienceclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/rowan .claude/skills/rowan && 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 "rowan" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/rowan into .claude/skills/rowan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rowan", 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/lamm-mit/scienceclaw/tree/main/skills/rowanType 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 lamm-mit/scienceclaw --skill rowan -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lamm-mit/scienceclaw rowan --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/rowan .agents/skills/rowan && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "rowan" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/rowan into .agents/skills/rowan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rowan", 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 lamm-mit/scienceclaw --skill rowan -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lamm-mit/scienceclaw rowan --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/rowan .cursor/skills/rowan && 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 "rowan" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/rowan into .cursor/skills/rowan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rowan", 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/lamm-mit/scienceclaw.git --path skills/rowan--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 lamm-mit/scienceclaw --skill rowan -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lamm-mit/scienceclaw rowan --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/rowan .gemini/skills/rowan && 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 "rowan" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/rowan into .gemini/skills/rowan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rowan", 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 lamm-mit/scienceclaw rowanInstalls 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 lamm-mit/scienceclaw --skill rowan -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/rowan .github/skills/rowan && 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 "rowan" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/rowan into .github/skills/rowan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rowan", 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 lamm-mit/scienceclaw --skill rowan -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lamm-mit/scienceclaw rowan --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/rowan .opencode/skills/rowan && 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 "rowan" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/rowan into .opencode/skills/rowan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rowan", 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.
rowanCloud-based quantum chemistry platform with Python API. An agent skill from lamm-mit/scienceclaw.
Rowan is an agent skill from lamm-mit/scienceclaw. Cloud-based quantum chemistry platform with Python API. Preferred for computational chemistry workflows including pKa prediction, geometry optimization, conformer searching, molecular property calculations, protein-ligand docking (AutoDock Vina), and AI protein cofolding (Chai-1, Boltz-1/2). Use when tasks involve quantum chemistry calculations, molecular property prediction, DFT or semiempirical methods, neural network potentials (AIMNet2), protein-ligand binding predictions, or automated computational chemistry…
Its SKILL.md is about 3.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts and reference files (for example `references/api_reference.md`, `references/molecule_handling.md` and `references/proteins_and_organization.md`). Compatibility notes: API required
It sits in Research & Science, covering Drug discovery and cheminformatics and Deep learning. It works with Python and RDKit.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit ab9aba1. 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.
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
uvFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
docs.rowansci.comlabs.rowansci.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
ROWAN_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
API required
From compatibility in the SKILL.md frontmatter.
Rowan loads about 3.1k tokens when it runs, and up to ~19k if it reads all its reference files. Until then it costs about 150 tokens; SKILL.md has 565 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 patterns that need a careful read before installing.
protein_seq = "MENFQKVEKIGEGTYGVVYKARNKLTGEVVALKKIRLDTETEGVPSTAIREISLLKELNHPNIVKLLDVIHTENKLYLVFEFLHQDLKKFMDASALTGIPLPLIKAutomated 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); the scripts in this folder are not scanned.
Its licence (Proprietary) doesn't allow us to republish the file, so here is its outline and opening line. It has 565 words (~3,127 tokens).
“Rowan is a cloud-based computational chemistry platform that provides programmatic access to quantum chemistry workflows through a Python API. It enables automation of complex molecular simulations without requiring local computational resources or expertise in multiple quantum chemistry packages.”
SKILL.md and 8 other files (scripts, references) in skills/rowan of lamm-mit/scienceclaw.
Open the folder on GitHubat commit ab9aba1
We found 4 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 4 other GitHub owners. This page covers the copy in lamm-mit/scienceclaw, which our catalogue first saw on October 7, 2026.
Rowan 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 |
|---|---|---|---|---|---|---|
| Rowan this skilllamm-mit/scienceclaw | 244 | 4 repos | ~3.1k | Automated safety check: Warn | Proprietary | |
| DiffDock Molecular DockingK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3k | Automated safety check: Notes | MIT | |
| Edu Chem Reactionwy51ai/edulab | 1.4k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| RDKit Conformer Generatorjinzhezenggroup/computational-chemistry-agent-skills | 148 | 1 repos | ~2.4k | Automated safety check: Pass | LGPL-3.0 | |
| RDKit Descriptors and Fingerprintsjinzhezenggroup/computational-chemistry-agent-skills | 148 | 1 repos | ~2.3k | Automated safety check: Pass | LGPL-3.0 | |
| RDKit Cheminformaticsdavila7/claude-code-templates | 32k | 15 repos | ~5k | Automated safety check: Pass | MIT |
K-Dense-AI/scientific-agent-skills
Predicts how small molecules bind to a protein with DiffDock, covering batch docking, pose ranking by confidence and checks on the results; not for binding affinity.
wy51ai/edulab
把一个化学反应做成自包含的微观 3D 交互演示网页:左/上为 Three.js 可交互分子动画 (拖滑块看断键·成键·原子重组,分步高亮),右为 KaTeX 反应方程 + 分步讲解 + 原子守恒计数 + 可选能量-反应进程曲线。支持三入口——给定文字反应/方程、随机出题、上传图片识别后演示。
jinzhezenggroup/computational-chemistry-agent-skills
Generates 3D molecular conformers from SMILES strings or files with RDKit, keeps the lowest-energy one per molecule, and falls back to 2D coordinates when embedding fails.
jinzhezenggroup/computational-chemistry-agent-skills
Computes RDKit physicochemical descriptors and molecular fingerprints from SMILES through a uv-run CLI script that skips and logs invalid molecules.
davila7/claude-code-templates
Guides molecular work with RDKit in Python: reading SMILES and SDF, sanitization, descriptors, fingerprints, substructure and similarity search, reactions and coordinates.
pemsley/coot
RDKit molecular manipulation and visualization within Coot's Python environment.
lamm-mit/scienceclaw
Query FRED (Federal Reserve Economic Data) API for 800,000+ economic time series from 100+ sources.
lamm-mit/scienceclaw
Generates comprehensive drug research reports with compound disambiguation, evidence grading, and mandatory completeness sections.
lamm-mit/scienceclaw
Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index.
lamm-mit/scienceclaw
Create professional infographics using Nano Banana Pro AI with smart iterative refinement.
lamm-mit/scienceclaw
Generate comprehensive disease research reports using 100+ ToolUniverse tools.
lamm-mit/scienceclaw
Computational molecular biology library (sequence I/O, alignment, phylogenetics).
Categories
Cloud-based quantum chemistry platform with Python API. An agent skill from lamm-mit/scienceclaw. Rowan is an agent skill from lamm-mit/scienceclaw. Cloud-based quantum chemistry platform with Python API.
Rowan fits situations like: tasks involve quantum chemistry calculations; molecular property prediction; semiempirical methods; neural network potentials (AIMNet2).
Run `npx skills add lamm-mit/scienceclaw --skill rowan -a claude-code`. Or copy the skill folder (skills/rowan in lamm-mit/scienceclaw) into .claude/skills/rowan in your project. Claude Code loads it when a task matches its description.
Run `npx skills add lamm-mit/scienceclaw --skill rowan -a codex`. Or copy the skill folder (skills/rowan in lamm-mit/scienceclaw) into .agents/skills/rowan 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 lamm-mit/scienceclaw --skill rowan -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/rowan, .gemini/skills/rowan, .github/skills/rowan and .opencode/skills/rowan in your project.
Going by SKILL.md and its folder, Rowan needs Python for the scripts in its folder, the command-line tools its instructions call (uv) and credentials named ROWAN_API_KEY. Our summary lists: Python 3; A credential in ROWAN_API_KEY. Compatibility (from SKILL.md): API required.
SKILL.md names 2 domains. As links in the text: docs.rowansci.com and labs.rowansci.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md flagged 1 warning(s): contains a long base64 blob. Read the flagged lines before installing; the check is not a guarantee either way. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Rowan carries a proprietary licence (declared in SKILL.md). It is published on GitHub, but it is not open source: read the licence file before using or sharing it.
About 3.1k tokens (SKILL.md is roughly 13k 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 16k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Rowan: DiffDock Molecular Docking (K-Dense-AI/scientific-agent-skills, 48k stars), Edu Chem Reaction (wy51ai/edulab, 1.4k stars), RDKit Conformer Generator (jinzhezenggroup/computational-chemistry-agent-skills, 148 stars) and RDKit Descriptors and Fingerprints (jinzhezenggroup/computational-chemistry-agent-skills, 148 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
lamm-mit (a GitHub user) maintains it in lamm-mit/scienceclaw, which has 244 GitHub stars. The repository holds 85 skills in this directory. The repository was last updated on August 21, 2026.
Source: lamm-mit/scienceclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.