Pymol
Google DeepMindOfficialPublished by Google DeepMind
- Skill
- Tool integration
- Science and research
- Apache-2.0
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
PyMOL is a tool for the visualization, analysis, and rendering of protein and molecular structures. It operates in a headless environment using OSMesa for software rendering, allowing users to generate images of structures, measure distances, perform structural alignments, and analyze protein-ligand interactions. The skill requires existing structure files and provides output in PNG format along with session files for further local exploration.
What it does
- Renders protein and molecular structure images
- Performs structural alignments and superpositions
- Measures distances and contacts between residues
- Highlights binding sites and active site residues
- Colors structures by B-factor or pLDDT values
- Analyzes protein-ligand interactions
When to use it
- When you need to visualize a protein structure file
- When you want to compare two structures via alignment
- When you need to identify or highlight specific residues or binding sites
- When you want to generate images of molecular structures for analysis
- When you need to save a session for further inspection in local PyMOL
Advantages
- Enables headless rendering without requiring a GPU or display
- Supports standard structural analysis tasks like distance measurement and alignment
- Provides session files for continued work in local environments
- Automates visualization workflows through Python scripting
Usage examples
- “Create an image of my protein structure colored by secondary structure.”
- The agent generates a PNG image showing the protein with helices, sheets, and loops colored distinctly and saves a .pse session file.
- “Show me the active site residues for this protein.”
- The agent identifies the specified residues, renders them as sticks, and provides an image highlighting the active site.
- “Align these two protein structures and tell me the RMSD.”
- The agent performs the structural alignment and reports the calculated RMSD value to the user.
- “Color my AlphaFold model by pLDDT confidence.”
- The agent applies canonical AlphaFold coloring thresholds to the structure and renders the result.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/google-deepmind/pymol/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip pymol.zip -d .agents/skills
Documentation by Google DeepMind
PyMOL
Prerequisites
uv: Read theuvskill and follow its Setup instructions to ensureuvis installed and on PATH.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 usecmd.draw()orcmd.ray()with hardware acceleration — OSMesa does not support it. Set environment variablePYOPENGL_PLATFORM=osmesafor headless rendering.Always save a
.psesession 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 cmdmust come afterfinish_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 checkingcmd.count_atoms("all"). If the result is 0, print an error to stdout and callcmd.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
.psefile
Interpreting Output
The
output/directory contains PNG images and a.psesession 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
.psefile in their local PyMOL to further explore, rotate, or modify the visualization.If the user wants modifications, load the saved
.psein a new script and re-run.Large sessions with surfaces can exceed the
--max_output_mblimit (default 500 MB). Increase it with--max_output_mb=1000if needed.
Files
- ATTRIBUTION.mdAdded by AutoGineer892 B
- LICENSELicence file added by AutoGineer11.1 KiB
- SKILL.md6.5 KiB
- references/PYMOL_REFERENCE.md5.3 KiB
- references/RECIPES.md11.1 KiB
- references/citation.bib143 B
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Needs Python
Security
No issues found by our static scan· No issues found
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Published by
- Google DeepMind
- Publisher
- Google DeepMind (Official)
- Source
- google-deepmind/science-skills · skills/pymol · commit 4de6786
- Licence
- Apache License 2.0 (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by Google DeepMind or Google DeepMind.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download pymol.zip