Agent skill

etetoolkit

Analyze, manipulate, compare, annotate, and visualize phylogenetic or other hierarchical trees with ETE 4. Use for 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. Do not use it to infer trees from raw sequences; align sequences and infer a tree first.

K-Dense-AIgithub.com/K-Dense-AIGitHub ↗
claude-codecan modify filesships scriptsMIT
Install
npx skills add K-Dense-AI/scientific-agent-skills --skill etetoolkit --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 8
SKILL.md size: 10 KB
Bundled scripts: yes
Version: 2.0
Allowed tools: ReadWriteEditBashPython
Requires: Bundled scripts require Python 3.10+ and ete4 4.4.0 (upstream ete4 supports Python >=3.7). Taxonomy setup and SmartView…
Path: skills/etetoolkit/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 32,619
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 July 23, 2026. 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`, not `ete3` - File input: pass an open file object; use strings for Newick text and do not rely on path-string heuristics

What's inside
Steps it walks through
  1. Scope
  2. Current Target
  3. Installation
  4. Quick Start
  5. Core Workflows
  6. Inspect and transform a tree
  7. Compare two topologies
  8. Detect duplication and speciation events
  9. Query taxonomy
  10. Visualize
  11. Bundled Scripts
  12. Tree operations
  13. Visualization
  14. Quality and Interpretation Checks
Ships with 7 files
  • references/api_reference.md
  • references/migration-ete3-to-ete4.md
  • references/taxonomy.md
  • references/visualization.md
  • references/workflows.md
  • scripts/quick_visualize.py
  • scripts/tree_operations.py
Commands it runs
uv pip install "ete4==4.4.0"
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"
uv run --with "ete4==4.4.0" python -c "import ete4; print(ete4.__version__)"
uv run --with "ete4==4.4.0" python scripts/tree_operations.py \
stats tree.nw --parser 1
ascii tree.nw --parser 1 --props name,dist
convert tree.nw output.nw \
More from scientific-agent-skills
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About this skill
What does the etetoolkit skill do?

Analyze, manipulate, compare, annotate, and visualize phylogenetic or other hierarchical trees with ETE 4. Use for 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. Do not use it to infer trees from raw sequences; align sequences and infer a tree first.

How do I install it?

Run `npx skills add K-Dense-AI/scientific-agent-skills --skill etetoolkit --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From K-Dense-AI/scientific-agent-skills, a repository with 32,619 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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