Biopython
CheckedThis Biopython skill leverages Python libraries for bioinformatics tasks like sequence analysis, enabling efficient biological data processing and research.
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terminal$ npx skills add microck/ordinary-claude-skills --skill biopython -a claude-code Uses the open-source
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microck
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Live repository
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Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
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SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
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github.comsource hostNo obfuscated payloads: passed
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Scanned microck/ordinary-claude-skills at 1056d293d4.
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- Commit
- 1056d293d4
- Manifest
- skills_all/biopython/SKILL.md
- Scanned
- 6 files, 1,230 lines
- Copies in repo
- 3 — all of them scanned
About this skill
What it does
This skill provides access to Biopython, a powerful suite of tools for computational biology. It allows AI agents to analyze biological sequences like DNA and protein, perform sequence alignments, and work with phylogenetic trees. This capability enables tasks ranging from simple sequence manipulation to complex bioinformatics analyses.
When to use it
- Sequence Analysis: When you need an agent to identify patterns or motifs within a DNA or protein sequence.
- Phylogenetic Tree Construction: To build evolutionary relationships between different species based on their genetic data.
- Alignment Tasks: For aligning multiple sequences to find conserved regions and understand functional similarities.
- Bioinformatics Research: To assist with research projects involving biological data analysis.
Key capabilities
- Sequence manipulation (DNA, RNA, protein)
- Sequence alignment algorithms
- Phylogenetic tree construction and visualization
- Biological database access and parsing
Example prompts
- "Analyze this DNA sequence: [sequence] and identify any potential gene markers."
- "Create a phylogenetic tree based on these sequences: [sequences]."
- "Align the following protein sequences: [sequences] to find conserved regions."
Tips & gotchas
- Requires familiarity with biological data formats (e.g., FASTA, GenBank).
- Computational biology can be resource-intensive; complex analyses may take time.