etetoolkit
Helps your agent analyze and visualize complex genetic trees. It's useful for understanding species evolution and their relationships.
What it does
This tool helps you work with phylogenetic trees (which show relationships between species or genes). You can read, modify, compare, and visualize these trees.
When to use it
- ✓When you have a relationship tree and want to see its details.
- ✓To compare two trees and see how different they are.
- ✓To add information (annotations) to specific parts of the tree.
Example of what to ask your AI
“Analyze the phylogenetic tree in the file 'my_tree.nw' and tell me what the leaves (terminal species/genes) are.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool reads tree files in formats like Newick. It allows you to select parts of the tree, add data to them, and save changes. It can also compare the structure of different trees.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add K-Dense-AI/scientific-agent-skills --skill etetoolkitOr download just the file:
curl -L https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/main/skills/etetoolkit/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
ETE Toolkit 4
Scope
Use ETE 4 to work with an existing tree:
- Read Newick/Nexus, then inspect, annotate, transform, root, prune, and write Newick trees
- Compare topologies and calculate phylogenetic distances
- Find repeated subtree topologies with
TreePattern - Analyze gene trees with
PhyloTree - Query local NCBI or GTDB taxonomy databases
- Explore large trees interactively with SmartView
- Render PNG with SmartView or PNG/PDF/SVG with the optional Qt treeview
ETE does not replace sequence alignment or phylogenetic inference software. For raw sequences, first use MAFFT or another aligner and IQ-TREE 2, FastTree, or another inference tool; then load the resulting tree into ETE.
Current Target
This skill targets ETE 4.4.0, released September 3, 2025 and verified as the
current PyPI release on September 30, 2026.
Core, phylogeny, local synthetic taxonomy and helper checks target this released
package, not unreleased upstream changes. See
references/review.md for executed coverage and limitations.
Use https://etetoolkit.github.io/ete/ for ETE 4 documentation. The
etetoolkit.org/docs/latest pages are legacy ETE 3 documentation despite the
URL name.
Do not silently translate these examples back to ETE 3:
- Package and import:
ete4, notete3 - File input: pass an open file object; use strings for Newick text and do not rely on path-string heuristics retained in ETE 4.4.0
- Newick selection:
parser=, notformat= - Node metadata:
props,add_prop(), andadd_props() - Iteration:
leaves(),descendants(), and related methods return iterators - Predicates:
node.is_leafandnode.is_rootare properties, not methods - Node lookup:
tree["name"], nottree & "name"
For porting older code, load
references/migration-ete3-to-ete4.md.
Installation
Install the pinned base package:
uv pip install "ete4==4.4.0"
Add only the visualization extra required by the workflow:
# SmartView static PNG screenshots
uv pip install "ete4[render-sm]==4.4.0"
# Legacy Qt renderer for PNG, PDF, and SVG
uv pip install "ete4[treeview]==4.4.0"
Confirm the active environment:
uv run --no-project --isolated --with "ete4==4.4.0" python -c "import ete4; print(ete4.__version__)"
No credentials are required. NCBI and GTDB workflows download public taxonomy
data and can consume substantial disk space; see
references/taxonomy.md before the first update.
Quick Start
from pathlib import Path
from ete4 import Tree
# Use an open file object for files; reserve strings for Newick text.
with Path("tree.nw").open(encoding="utf-8") as handle:
tree = Tree(handle, parser=1) # parser 1: internal node names
print(tree.to_str(props=["name", "dist"], compact=True))
print("Leaves:", list(tree.leaf_names()))
# Search and annotate.
focal = tree["species1"]
focal.add_props(host="human", status="focal")
# Keep selected tips while preserving pairwise branch-length distances.
tree.prune(
["species1", "species2", "species3"],
preserve_branch_length=True,
)
# Root and serialize explicitly.
tree.set_midpoint_outgroup()
tree.write(
outfile="processed.nw",
parser=1,
props=["host", "status"],
)
Choose the parser deliberately. A parser mismatch is the most common cause of
NewickError, lost internal labels, or support values being read as names.
See references/api_reference.md.
Core Workflows
Inspect and transform a tree
from ete4 import Tree
tree = Tree("((A:1,B:1)CladeAB:0.4,C:2)Root;", parser=1)
for node in tree.traverse("preorder"):
label = node.name if node.name is not None else node.id
print(label, node.level, node.is_leaf, node.dist)
tree["A"].add_prop("group", "case")
tree["B"].add_prop("group", "control")
mrca = tree.common_ancestor("A", "B")
print(mrca.name)
tree.write(
outfile="annotated.nhx",
parser=1,
props=["group"],
format_root_node=True,
)
Node names need not be unique. tree["A"] returns the first match; use
list(tree.search_nodes(name="A")) and validate the count when duplicates are
possible.
Compare two topologies
from ete4 import Tree
tree_a = Tree("((A,B),(C,D));")
tree_b = Tree("((A,C),(B,D));")
(
rf,
max_rf,
common_leaves,
edges_a,
edges_b,
discarded_a,
discarded_b,
…
FAQ
What is a phylogenetic tree?
It's a diagram that looks like a tree, showing how different species, genes, or other entities are related to each other over evolutionary time.
What do 'Newick' or 'Nexus' mean?
These are common file formats used to represent phylogenetic trees in plain text.
Can I use this tool to create a tree from scratch?
No, this tool is for working with trees that have already been created by other programs. It does not perform the analysis to generate the initial tree.
Details
Original description by the author
Analyzes, manipulates, compares, annotates, and visualizes phylogenetic or other hierarchical trees with ETE 4. Supports Newick/Nexus tree I/O, topology edits and pattern matching, Robinson-Foulds comparisons, gene-tree evolutionary events and reconciliation, NCBI/GTDB taxonomy, SmartView exploration, and publication rendering. Applies to existing trees after alignment and phylogenetic inference,
Popularity
- GitHub stars
- 51k
- Ranking position
- #1864
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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