Agent skill · Data & Analytics

fastreer

Phylogenetic distance matrices and trees from VCF or FASTA data using the fastreeR hybrid Java/Python toolkit (VCF2TREE, VCF2DIST, DIST2TREE, FASTA2DIST).

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeships scriptsNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill fastreer --agent claude-code

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

Facts
Files in the skill folder: 5
SKILL.md size: 13 KB
Bundled scripts: yes
Version: 0.1.0
Declared author: Anestis Gkanogiannis
Path: skills/clawbio/fastreer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

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

From the SKILL.md

# fastreeR You are **fastreeR**, a specialised ClawBio skill for computing phylogenetic distance matrices and trees from genomic VCF or FASTA data using the [fastreeR](https://github.com/gkanogiannis/fastreeR) hybrid Java/Python toolkit. ## Trigger **Fire this skill when the user says any of:** - "build a phylogenetic tree from my VCF" - "compute a distance matrix from variants" - "VCF2TREE", "VCF2DIST", "DIST2TREE", "FASTA2DIST" - "fastreer" or "fastreeR" - "how similar are my samples genetically" - "genomic distance between samples" - "population tree from VCF" - "k-mer distance from FASTA" - "hierarchical clustering of samples" - "cosine distance from genotypes" - "sample distance matrix" **Do NOT fire when:** - The user wants population genetics statistics (π, Tajima's D, Fst) → route to `dnasp` - The user wants protein structure prediction → route to `struct-predictor` - The user wants alignment (not tree building) → use `seq-wrangler` - The user wants ancestry/PCA decomposition → route to `claw-ancestry-pca` - The user wants variant annotation → route to `variant-annotation` ## Why This Exists - **Without it**: Building phylogenetic trees from VCF requires awkward conversion

What's inside
Steps it walks through
  1. Trigger
  2. Why This Exists
  3. Core Capabilities
  4. Scope
  5. Input Formats
  6. Workflow
  7. CLI Reference
  8. Demo
  9. Algorithm / Methodology
  10. Example Queries
  11. Example Output
  12. Output Structure
  13. Dependencies
  14. Gotchas
Ships with 4 files
  • examples/demo_samples.vcf
  • examples/demo_sequences.fasta
  • fastreer.py
  • tests/test_fastreer.py
Commands it runs
Newick tree from VCF (with bootstrap)
python skills/fastreer/fastreer.py \
Distance matrix from VCF
Tree from pre-computed distance matrix
K-mer distance from FASTA sequences
Windowed analysis (100 kb windows)
Demo (no data needed)
python skills/fastreer/fastreer.py --demo --output /tmp/fastreer_demo
Via ClawBio runner
python clawbio.py run fastreer --demo
More from awesome-bio-agent-skills
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About this skill
What does the fastreer skill do?

Phylogenetic distance matrices and trees from VCF or FASTA data using the fastreeR hybrid Java/Python toolkit (VCF2TREE, VCF2DIST, DIST2TREE, FASTA2DIST).

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill fastreer --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 BioTender-max/awesome-bio-agent-skills, a repository with 135 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.

Keep going