Skip to content
alyn
Google DeepMind Official

Pymol skill

Visualize, analyze, and render protein and molecular structures using PyMOL. Use when the user wants to create images of protein structures, perform structural alignments or superposition, measure distances or contacts, highlight binding sites or active site residues, color by B-factor/pLDDT, or analyze protein-ligand interactions. Do not use for docking, molecular dynamics, or sequence-only analysis.

$npx skills add google-deepmind/science-skills --skill pymol
GitHub stars
3,445
Pack installs
91k
Alyn Score
70/99
Updated
5 h ago
License
Apache-2.0

Google DeepMind

Pymol

Install Pymol

Pick your agent. Every command is ready to paste.

$npx skills add google-deepmind/science-skills --skill pymol

The open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.

01

Install it

Run the command above, or upload the folder in Claude.

02

Ask naturally

Describe the task. Your agent loads pymol when the request matches its description.

03

Name it if needed

If it does not trigger, say “use the pymol skill”. In Codex, type $pymol.

The skill itself

SKILL.md

GitHub

PyMOL

Prerequisites

  1. uv: Read the uv skill and follow its Setup instructions to ensure uv is installed and on PATH.
  2. User Notification: If .licenses/pymol_LICENSE.txt does not already exist in the workspace root directory then (1) prominently notify the user to check the license at https://www.pymol.org/, then (2) create the file recording the notification text and timestamp.

Overview

All PyMOL commands run on the host via uv with OSMesa software rendering — no GPU, display, or X server is needed. Structure files must be downloaded to the host before running PyMOL.

Do NOT use when:

  • The user wants to run AlphaFold predictions.
  • The user wants docking or molecular dynamics simulations.
  • The user only has a sequence and no structure file — fetch the structure first. Check if any other installed skills can retrieve structures from the PDB or AlphaFold Database before proceeding.

Setup (Agent Instructions)

Ensure that uv is installed on the host system. The PyMOL scripts use PEP 0723 headers to declare their dependencies, and uv run will automatically handle installing them (including pymol-open-source-whl) when the script is executed.

Core Rules

  • Output paths must be absolute or relative to the user's project root. Always run PyMOL scripts from the user's project directory.
  • Software rendering only. Use cmd.png() for output. Never use cmd.draw() or cmd.ray() with hardware acceleration — OSMesa does not support it. Set environment variable PYOPENGL_PLATFORM=osmesa for headless rendering.
  • Always save a .pse session file alongside any PNG output. This lets the user open the session in their local PyMOL for further inspection.
  • Always call cmd.quit() at the end of every PyMOL script. Omitting it causes the process to stop responding.
  • Init boilerplate is mandatory. Every PyMOL script must begin with the initialization sequence. from pymol import cmd must come after finish_launching(), not before.
  • See references/PYMOL_REFERENCE.md for selection syntax, common commands, and gotchas.
  • Pre-Flight File Check: Before writing the PyMOL script or running it, you MUST verify that the requested structure file actually exists on the host machine.
  • Verify Structure Load: After loading a structure with cmd.load(), always verify it succeeded by checking cmd.count_atoms("all"). If the result is 0, print an error to stdout and call cmd.quit() immediately.
  • Auto-detect Alpha-Carbon Trace: For a cartoon representation your PyMOL scripts should automatically detect if the structure is an alpha-carbon trace (cmd.count_atoms("name CA") == cmd.count_atoms("all")), then you MUST follow the Alpha carbon trace cartoon recipe.
  • Notification: If this skill is used, ensure this is mentioned in the output.

Quick Start

  • Ensure structure files are downloaded to a directory in the user's project.
  • Write a PyMOL Python script (e.g., render.py) with the required init boilerplate and PEP 0723 header.
  • Run it via uv run: bash uv run render.py

Minimal example script (render.py)

# /// script
# requires-python = ">=3.10, <3.13"
# dependencies = [
#     "pymol-open-source-whl",
# ]
# ///

import os
import sys

# Set environment variable for headless rendering
os.environ["PYOPENGL_PLATFORM"] = "osmesa"

import pymol # pytype: disable=import-error
pymol.pymol_argv = ["pymol", "-cq"]
pymol.finish_launching()

from pymol import cmd # pytype: disable=import-error

cmd.load("AF-P00520-F1-model_v4.cif", "structure")
cmd.show("cartoon")
cmd.color("green", "ss h")
cmd.color("yellow", "ss s")
cmd.color("gray", "ss l+''")
cmd.orient()
cmd.set("ray_opaque_background", 1)
cmd.png("output/render.png", width=1200, height=900, dpi=150)
cmd.save("output/session.pse")
cmd.quit()

Common Recipes

See references/RECIPES.md for complete, copy-paste ready recipes. Available recipes:

  • Cartoon with secondary structure coloring — basic helix/sheet/loop coloring
  • Alpha carbon trace cartoon — force cartoon representation for CA-only structures
  • B-factor (pLDDT) coloring — continuous spectrum coloring by B-factor
  • AlphaFold pLDDT coloring — canonical threshold-based confidence colors
  • Highlight specific residues — show active site or key residues as sticks
  • Surface rendering — transparent surface over cartoon
  • Electrostatic surface rendering — vacuum electrostatics (qualitative)
  • Multi-chain complex colors — automatic per-chain coloring
  • B-factor putty analysis — tube width proportional to flexibility
  • Cavity and pocket visualization — surface cavity detection with ligand focus
  • Multi-structure batch rendering — render a directory of structures
  • Measure distance between residues — CA–CA distance with labels
  • Zoom into binding pocket — simple pocket focus
  • Protein-ligand interaction — ligand isolation, styled rendering, polar contacts
  • Two-structure superposition with RMSD — align/cealign with auto-fallback
  • In silico mutagenesis — mutate residues with the mutagenesis wizard
  • Load and modify an existing session — re-open a .pse file

Interpreting Output

  • The output/ directory contains PNG images and a .pse session file.
  • Any measurements or metrics (distances, RMSD, atom counts) are printed to stdout by the PyMOL script. Report these values to the user.
  • Present PNG images to the user and describe the visualization.
  • Tell the user they can open the .pse file in their local PyMOL to further explore, rotate, or modify the visualization.
  • If the user wants modifications, load the saved .pse in a new script and re-run.
  • Large sessions with surfaces can exceed the --max_output_mb limit (default 500 MB). Increase it with --max_output_mb=1000 if needed.

Tips for Pymol

  • • Start a fresh session after installing so your agent picks up the new skill.
  • • It bundles reference files. The agent reads them only when needed, so they cost no context until then.
  • • It is part of a pack with 40 skills. Install only the ones you need with --skill to keep triggers precise.
  • • If two skills overlap, mention the one you want by name.

Questions about Pymol

What does the Pymol skill do?

Visualize, analyze, and render protein and molecular structures using PyMOL. Use when the user wants to create images of protein structures, perform structural alignments or superposition, measure distances or contacts, highlight binding sites or active site residues, color by B-factor/pLDDT, or analyze protein-ligand interactions. Do not use for docking, molecular dynamics, or sequence-only analysis.

How do I install Pymol?

Run "npx skills add google-deepmind/science-skills --skill pymol" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.

Does Pymol work in Cursor and Codex?

Yes. Pymol uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.

Is Pymol free?

Pymol is open source on GitHub under the Apache-2.0 license. It is free to install; check the license before commercial use.

Who made Pymol?

Pymol is published by Google DeepMind in the google-deepmind/science-skills repository, together with 39 other skills.

Similar skills. From other creators.