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.
RDKit molecular manipulation and visualization within Coot's Python environment.
$ npx skills add pemsley/coot --skill coot-rdkit -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install pemsley/coot coot-rdkit --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/pemsley/coot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/mcp/docs/skills/rdkit .claude/skills/coot-rdkit && 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 "coot-rdkit" agent skill from https://github.com/pemsley/coot/tree/main/mcp/docs/skills/rdkit into .claude/skills/coot-rdkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "coot-rdkit", 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/pemsley/coot/tree/main/mcp/docs/skills/rdkitType 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 pemsley/coot --skill coot-rdkit -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install pemsley/coot coot-rdkit --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pemsley/coot.git skills-src && mkdir -p .agents/skills && cp -r skills-src/mcp/docs/skills/rdkit .agents/skills/coot-rdkit && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "coot-rdkit" agent skill from https://github.com/pemsley/coot/tree/main/mcp/docs/skills/rdkit into .agents/skills/coot-rdkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "coot-rdkit", 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 pemsley/coot --skill coot-rdkit -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install pemsley/coot coot-rdkit --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pemsley/coot.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/mcp/docs/skills/rdkit .cursor/skills/coot-rdkit && 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 "coot-rdkit" agent skill from https://github.com/pemsley/coot/tree/main/mcp/docs/skills/rdkit into .cursor/skills/coot-rdkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "coot-rdkit", 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/pemsley/coot.git --path mcp/docs/skills/rdkit--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 pemsley/coot --skill coot-rdkit -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install pemsley/coot coot-rdkit --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pemsley/coot.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/mcp/docs/skills/rdkit .gemini/skills/coot-rdkit && 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 "coot-rdkit" agent skill from https://github.com/pemsley/coot/tree/main/mcp/docs/skills/rdkit into .gemini/skills/coot-rdkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "coot-rdkit", 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 pemsley/coot coot-rdkitInstalls 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 pemsley/coot --skill coot-rdkit -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/pemsley/coot.git skills-src && mkdir -p .github/skills && cp -r skills-src/mcp/docs/skills/rdkit .github/skills/coot-rdkit && 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 "coot-rdkit" agent skill from https://github.com/pemsley/coot/tree/main/mcp/docs/skills/rdkit into .github/skills/coot-rdkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "coot-rdkit", 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 pemsley/coot --skill coot-rdkit -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install pemsley/coot coot-rdkit --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pemsley/coot.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/mcp/docs/skills/rdkit .opencode/skills/coot-rdkit && 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 "coot-rdkit" agent skill from https://github.com/pemsley/coot/tree/main/mcp/docs/skills/rdkit into .opencode/skills/coot-rdkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "coot-rdkit", 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.
coot-rdkitRDKit molecular manipulation and visualization within Coot's Python environment.
Coot Rdkit is an agent skill from pemsley/coot. RDKit molecular manipulation and visualization within Coot's Python environment. Use when working with Coot and need to (1) Create RDKit molecules from Coot monomers, (2) Modify molecular structures (e.g., atom substitution), (3) Generate 2D chemical structure diagrams, (4) Perform cheminformatics operations on ligands or small molecules loaded in Coot.
Its SKILL.md is about 980 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science, covering Drug discovery and cheminformatics. It works with RDKit and Python. The repository describes itself as: Software for macromolecular model-building. The licence is GPL-3.0.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 6e3c026. 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 python and 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.
Coot Rdkit loads about 981 tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 178 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 pemsley/coot at commit 6e3c026, republished under its GPL-3.0 licence (© pemsley). 178 words, ~981 tokens.
.claude/skills/coot-rdkit/SKILL.md (or your agent's skills folder).This skill provides guidance for using RDKit within Coot's Python environment for molecular manipulation and visualization.
Use coot_headless_api (NOT chapi):
import coot_headless_api
from rdkit import Chem
from rdkit.Chem import AllChemimport coot_headless_api
import base64
from rdkit import Chem
# Initialize molecules container
molecules = coot_headless_api.molecules_container_t(False) # False = not verbose
# Get monomer from Coot's library
imol = molecules.get_monomer("AMP") # or any other monomer code
# Get RDKit molecule as pickled base64
pickle_base64_str = molecules.get_rdkit_mol_pickle_base64("AMP", imol)
# Decode and create RDKit molecule
pickle_bytes = base64.b64decode(pickle_base64_str)
rdkit_mol = Chem.Mol(pickle_bytes) # Use Chem.Mol(), NOT pickle.loads()from rdkit import Chem
# Make editable copy
mol_edit = Chem.RWMol(rdkit_mol)
# Replace atom (e.g., phosphorus to sulfur)
for atom in mol_edit.GetAtoms():
if atom.GetSymbol() == 'P':
atom.SetAtomicNum(16) # 16 = sulfur
break
# Convert back to read-only molecule
modified_mol = mol_edit.GetMol()
Chem.SanitizeMol(modified_mol)When removing hydrogens or modifying structure, ALWAYS regenerate 2D coordinates:
from rdkit.Chem import AllChem
# Remove hydrogens
mol_no_h = Chem.RemoveHs(mol)
# IMPORTANT: Regenerate 2D coords AFTER removing hydrogens
AllChem.Compute2DCoords(mol_no_h)
# Now generate visualizationfrom rdkit.Chem.Draw import rdMolDraw2D
drawer = rdMolDraw2D.MolDraw2DSVG(400, 400)
drawer.DrawMolecule(mol_no_h)
drawer.FinishDrawing()
svg_string = drawer.GetDrawingText()
# Save without displaying (see Data Handling below)Do NOT return or print large strings (SVG, base64, etc.) as this causes slow response times:
BAD:
svg_data # This displays all the text - SLOW!GOOD:
# Just save directly without displaying
# (use len() to verify if needed, though even this may not return properly)Write files directly without displaying content:
From Coot Python:
svg_content = drawer.GetDrawingText()
# Don't display svg_content - just reference itThen in bash or file creation:
# Use the variable directly without echoing/catting the contentCoot's Python environment only returns values from single-line expressions:
Works:
Chem.MolToSmiles(mol) # Returns SMILES stringDoesn't return properly:
x = 5
y = 10
x + y # Won't return the valueWorkaround - Define function in one call, execute in next:
# Call 1: Define
def my_function():
x = 5
y = 10
return x + y
# Call 2: Execute
my_function() # Now returns 15© pemsley, GPL-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 mcp/docs/skills/rdkit of pemsley/coot.
Open the folder on GitHubat commit 6e3c026
Coot Rdkit 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 |
|---|---|---|---|---|---|---|
| Coot Rdkit this skillpemsley/coot | 168 | — | ~981 | Automated safety check: Pass | GPL-3.0 | |
| 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 | |
| Rowanlamm-mit/scienceclaw | 244 | 4 repos | ~3.1k | Automated safety check: Warn | Proprietary |
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.
lamm-mit/scienceclaw
Cloud-based quantum chemistry platform with Python API. An agent skill from lamm-mit/scienceclaw.
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
Create interactive inline Chart.js graphs directly in the chat from live Coot data.
pemsley/coot
Best practices for protein structure refinement and validation in Coot.
pemsley/coot
API documentation to be loaded at startup - when starting a Coot session, immediately call getfunctiondescriptions() with the functions listed in this skill.
pemsley/coot
Best practices for creating publication-quality molecular graphics figures in Coot using user-defined colors, ribbons, and molecular representations
pemsley/coot
Best Practices for Model-Building Tools and Refinement. An agent skill from pemsley/coot.
pemsley/coot
Comprehensive structure validation combining model-to-map analysis and unmodeled density detection
Categories
RDKit molecular manipulation and visualization within Coot's Python environment. Coot Rdkit is an agent skill from pemsley/coot. RDKit molecular manipulation and visualization within Coot's Python environment.
Coot Rdkit fits situations like: working with Coot and need to; create RDKit molecules from Coot monomers; modify molecular structures (e.g; atom substitution).
Run `npx skills add pemsley/coot --skill coot-rdkit -a claude-code`. Or copy the skill folder (mcp/docs/skills/rdkit in pemsley/coot) into .claude/skills/coot-rdkit in your project. Claude Code loads it when a task matches its description.
Run `npx skills add pemsley/coot --skill coot-rdkit -a codex`. Or copy the skill folder (mcp/docs/skills/rdkit in pemsley/coot) into .agents/skills/coot-rdkit 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 pemsley/coot --skill coot-rdkit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/coot-rdkit, .gemini/skills/coot-rdkit, .github/skills/coot-rdkit and .opencode/skills/coot-rdkit in your project.
SKILL.md names no scripts, command-line tools or credentials: Coot Rdkit 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.
Coot Rdkit is published under the GPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 981 tokens (SKILL.md is roughly 3.9k 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 Coot Rdkit: 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.
pemsley (a GitHub user) maintains it in pemsley/coot, which has 168 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 7, 2026.
Source: pemsley/coot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.