Agent skill · Databases

biopython

Primary Python toolkit for molecular biology. Preferred for Python-based PubMed/NCBI queries (Bio.Entrez), sequence manipulation, file parsing (FASTA, GenBank, FASTQ, PDB), advanced BLAST workflows, structures, phylogenetics. For quick BLAST, use gget. For direct REST API, use pubmed-database.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-code
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill biopython --agent claude-code

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

Facts
Files in the skill folder: 8
SKILL.md size: 13 KB
Bundled scripts: none
Path: skills/biopython/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,909
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

# Biopython: Computational Molecular Biology in Python ## Overview Biopython is a comprehensive set of freely available Python tools for biological computation. It provides functionality for sequence manipulation, file I/O, database access, structural bioinformatics, phylogenetics, and many other bioinformatics tasks. The current version is **Biopython 1.85** (released January 2025), which supports Python 3 and requires NumPy. ## When to Use This Skill Use this skill when: - Working with biological sequences (DNA, RNA, or protein) - Reading, writing, or converting biological file formats (FASTA, GenBank, FASTQ, PDB, mmCIF, etc.) - Accessing NCBI databases (GenBank, PubMed, Protein, Gene, etc.) via Entrez - Running BLAST searches or parsing BLAST results - Performing sequence alignments (pairwise or multiple sequence alignments) - Analyzing protein structures from PDB files - Creating, manipulating, or visualizing phylogenetic trees - Finding sequence motifs or analyzing motif patterns - Calculating sequence statistics (GC content, molecular weight, melting temperature, etc.) - Performing structural bioinformatics tasks - Working with population genetics data - Any other computation

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. Core Capabilities
  4. Installation and Setup
  5. Using This Skill
  6. 1. Sequence Handling (Bio.Seq & Bio.SeqIO)
  7. 2. Alignment Analysis (Bio.Align & Bio.AlignIO)
  8. 3. Database Access (Bio.Entrez)
  9. 4. BLAST Operations (Bio.Blast)
  10. 5. Structural Bioinformatics (Bio.PDB)
  11. 6. Phylogenetics (Bio.Phylo)
  12. 7. Advanced Features
  13. General Workflow Guidelines
  14. Reading Documentation
Ships with 7 files
  • references/advanced.md
  • references/alignment.md
  • references/blast.md
  • references/databases.md
  • references/phylogenetics.md
  • references/sequence_io.md
  • references/structure.md
Commands it runs
Find information about specific functions
grep -n "SeqIO.parse" references/sequence_io.md
Find examples of specific tasks
grep -n "BLAST" references/blast.md
Find information about specific concepts
grep -n "alignment" references/alignment.md
Search for specific functions
grep -n "function_name" references/*.md
grep -n "example" references/sequence_io.md
Find all occurrences of a module
More from OpenClaw-Medical-Skills
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About this skill
What does the biopython skill do?

Primary Python toolkit for molecular biology. Preferred for Python-based PubMed/NCBI queries (Bio.Entrez), sequence manipulation, file parsing (FASTA, GenBank, FASTQ, PDB), advanced BLAST workflows, structures, phylogenetics. For quick BLAST, use gget. For direct REST API, use pubmed-database.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill biopython --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 FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 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