Agent skill

Bio Seq Objects

by majiayu000 in majiayu000/claude-skill-registry

Create and manipulate Seq, MutableSeq, and SeqRecord objects using Biopython.

MITAuto-check passedResearch & Science

Install Bio Seq Objects

skills CLI
$ npx skills add majiayu000/claude-skill-registry --skill bio-seq-objects -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install majiayu000/claude-skill-registry bio-seq-objects --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-ml/seq-objects-gptomics-bioskills .claude/skills/bio-seq-objects && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
bio-seq-objects
GitHub stars
666
Used in
1 other repo
Token cost
~1.6k tokens
SKILL.md length
213 words
Files
2
Skills in repo
1,273
Repo updated
First seen
Licence
MIT

At a glance

Create and manipulate Seq, MutableSeq, and SeqRecord objects using Biopython.

  • Creating sequences from strings
  • SKILL.md covers Required Imports, Core Objects, Code Patterns and Common Errors, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Modifying sequence data in-place

What it does

Bio Seq Objects is an agent skill from majiayu000/claude-skill-registry. Create and manipulate Seq, MutableSeq, and SeqRecord objects using Biopython. Use when creating sequences from strings, modifying sequence data in-place, or building annotated sequence records.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).

It sits in Research & Science, covering Bioinformatics. It works with Biopython. The repository describes itself as: Searchable Claude Code skills catalog with source-linked guides and generated registry artifacts. The licence is MIT.

When your agent uses it

  • Creating sequences from strings
  • Modifying sequence data in-place
  • Building annotated sequence records

Example prompts

  • “/bio-seq-objects”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 2d14a69. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Bio Seq Objects loads about 1.6k tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 213 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~52
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from majiayu000/claude-skill-registry at commit 2d14a69, republished under its MIT licence (© majiayu000). 213 words, ~1,591 tokens.

Download SKILL.mdSave it as .claude/skills/bio-seq-objects/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
bio-seq-objects
description
Create and manipulate Seq, MutableSeq, and SeqRecord objects using Biopython. Use when creating sequences from strings, modifying sequence data in-place, or building annotated sequence records.
tool_type
python
primary_tool
Bio.Seq

Seq Objects

Create and manipulate biological sequence objects using Biopython.

Required Imports

python
from Bio.Seq import Seq, MutableSeq
from Bio.SeqRecord import SeqRecord

Core Objects

Seq - Immutable Sequence

The basic sequence object. Immutable like Python strings.

python
seq = Seq('ATGCGATCGATCG')

Seq objects support string-like operations:

python
len(seq)           # Length
seq[0]             # First base
seq[-1]            # Last base
seq[0:10]          # Slice (returns Seq)
str(seq)           # Convert to string
'ATG' in seq       # Membership test
seq.count('G')     # Count occurrences
seq.find('ATG')    # Find position (-1 if not found)
seq.upper()        # Uppercase
seq.lower()        # Lowercase
seq * 3            # Repeat sequence
seq.strip()        # Remove leading/trailing whitespace
MutableSeq - Mutable Sequence

For in-place modifications when performance matters.

python
mut_seq = MutableSeq('ATGCGATCG')
mut_seq[0] = 'C'              # Modify single position
mut_seq[0:3] = 'GGG'          # Replace slice
mut_seq.append('A')           # Add to end
mut_seq.insert(0, 'G')        # Insert at position
mut_seq.pop()                 # Remove and return last
mut_seq.remove('G')           # Remove first occurrence
mut_seq.reverse()             # Reverse in place

Convert between types:

python
seq = Seq(mut_seq)            # MutableSeq to Seq
mut_seq = MutableSeq(seq)     # Seq to MutableSeq
SeqRecord - Annotated Sequence

Sequence with metadata for file I/O and analysis.

python
record = SeqRecord(
    Seq('ATGCGATCG'),
    id='gene1',
    name='example_gene',
    description='An example gene sequence'
)

SeqRecord attributes:

python
record.seq           # The Seq object
record.id            # Identifier string
record.name          # Name string
record.description   # Description string
record.features      # List of SeqFeature objects
record.annotations   # Dict of annotations
record.letter_annotations  # Per-letter annotations (quality scores)
record.dbxrefs       # Database cross-references
SeqRecord Methods

Transform entire records while preserving metadata:

python
# Reverse complement (preserves ID, updates features)
rc_record = record.reverse_complement(id='gene1_rc', description='reverse complement')

# Translate to protein (creates new SeqRecord with protein)
protein_record = record.translate(id='gene1_protein')

# Quick format output (returns string in file format)
fasta_str = record.format('fasta')
genbank_str = record.format('genbank')

Slicing preserves features (adjusted to new coordinates):

python
# Slice SeqRecord - features are clipped/adjusted automatically
subset = record[10:50]  # Features outside range are dropped

Code Patterns

Create Seq from String
python
dna = Seq('ATGCGATCGATCG')
rna = Seq('AUGCGAUCGAUCG')
protein = Seq('MRCRS')
Create SeqRecord for File Output
python
record = SeqRecord(Seq('ATGCGATCG'), id='seq1', description='My sequence')
Create SeqRecord with Annotations
python
record = SeqRecord(Seq('ATGCGATCG'), id='gene1', description='Example')
record.annotations['organism'] = 'Homo sapiens'
record.annotations['molecule_type'] = 'DNA'
Build SeqRecord from Parsed Data
python
from Bio.SeqFeature import SeqFeature, FeatureLocation

record = SeqRecord(Seq('ATGCGATCGATCG'), id='gene1')
feature = SeqFeature(FeatureLocation(0, 9), type='CDS', qualifiers={'product': ['Example protein']})
record.features.append(feature)
Batch Create SeqRecords
python
sequences = ['ATGC', 'GCTA', 'TTAA']
records = [SeqRecord(Seq(s), id=f'seq_{i}') for i, s in enumerate(sequences)]
Copy a SeqRecord
python
from copy import deepcopy
new_record = deepcopy(record)
new_record.id = 'modified_copy'
Modify SeqRecord Sequence
python
record = SeqRecord(Seq('ATGCGATCG'), id='seq1')
record.seq = Seq('GGGGGATCG')  # Replace entire sequence
Join Sequences into One SeqRecord
python
combined_seq = seq1 + Seq('NNNN') + seq2  # With linker
combined_record = SeqRecord(combined_seq, id='combined')
Transform SeqRecord with reverse_complement
python
# Reverse complement a gene sequence
record = SeqRecord(Seq('ATGCGATCGATCG'), id='gene1', description='Forward strand')
rc_record = record.reverse_complement(id=f'{record.id}_rc', description='Reverse complement')
# Features are remapped to new coordinates
Translate SeqRecord to Protein
python
# Translate coding sequence
cds_record = SeqRecord(Seq('ATGCGATCGATCGTAA'), id='cds1', description='Coding sequence')
protein_record = cds_record.translate(id=f'{cds_record.id}_protein', to_stop=True)
Quick Output with format()
python
record = SeqRecord(Seq('ATGCGATCG'), id='seq1', description='Example sequence')
print(record.format('fasta'))
# >seq1 Example sequence
# ATGCGATCG

Common Errors

ErrorCauseSolution
TypeError: 'Seq' object does not support item assignmentTrying to modify immutable SeqUse MutableSeq instead
TypeError: SeqRecord object argument must be a Seq objectPassed string instead of SeqWrap string in Seq()
Missing annotations in outputDidn't set required annotationsAdd molecule_type to annotations for GenBank output

Decision Tree

Need to work with sequence data?
├── Just doing string-like operations?
│   └── Use Seq
├── Need to modify sequence in-place?
│   └── Use MutableSeq
├── Need metadata (ID, description, features)?
│   └── Use SeqRecord
└── Need to write to file?
    └── Use SeqRecord with appropriate annotations
  • sequence-io/read-sequences - Parse files to get SeqRecord objects
  • sequence-io/write-sequences - Write SeqRecord objects to files
  • transcription-translation - Transform Seq objects (DNA to protein)
  • reverse-complement - Get reverse complement of Seq
  • sequence-slicing - Slice and extract from Seq/SeqRecord
  • database-access - Fetch sequences from NCBI as SeqRecords

© majiayu000, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/ai-ml/seq-objects-gptomics-bioskills of majiayu000/claude-skill-registry.

  • SKILL.md
  • metadata.json

Open the folder on GitHubat commit 2d14a69

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in majiayu000/claude-skill-registry, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Bio Seq Objects next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Bio Seq Objects compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Bio Seq Objects this skillmajiayu000/claude-skill-registry6661 repos~1.6kAutomated safety check: PassMIT
Bio Alignment IoGPTomics/bioSkills1.2k3 repos~4.9kAutomated safety check: PassMIT
Biopython Bioinformaticsaiming-lab/AutoResearchClaw15k—~810Automated safety check: PassMIT
Bio Write SequencesGPTomics/bioSkills1.2k3 repos~2.1kAutomated safety check: PassMIT
Biopythondavila7/claude-code-templates32k13 repos~3.4kAutomated safety check: PassMIT
Ggetdavila7/claude-code-templates32k11 repos~6.3kAutomated safety check: PassMIT

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Works with

Questions about Bio Seq Objects

What does Bio Seq Objects do?

Create and manipulate Seq, MutableSeq, and SeqRecord objects using Biopython. Bio Seq Objects is an agent skill from majiayu000/claude-skill-registry. Create and manipulate Seq, MutableSeq, and SeqRecord objects using Biopython.

When should I use Bio Seq Objects?

Bio Seq Objects fits situations like: creating sequences from strings; modifying sequence data in-place; building annotated sequence records.

How do I install Bio Seq Objects in Claude Code?

Run `npx skills add majiayu000/claude-skill-registry --skill bio-seq-objects -a claude-code`. Or copy the skill folder (skills/ai-ml/seq-objects-gptomics-bioskills in majiayu000/claude-skill-registry) into .claude/skills/bio-seq-objects in your project. Claude Code loads it when a task matches its description.

How do I install Bio Seq Objects in Codex?

Run `npx skills add majiayu000/claude-skill-registry --skill bio-seq-objects -a codex`. Or copy the skill folder (skills/ai-ml/seq-objects-gptomics-bioskills in majiayu000/claude-skill-registry) into .agents/skills/bio-seq-objects in your project. Codex loads it when a task matches its description.

Can I use Bio Seq Objects in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add majiayu000/claude-skill-registry --skill bio-seq-objects -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bio-seq-objects, .gemini/skills/bio-seq-objects, .github/skills/bio-seq-objects and .opencode/skills/bio-seq-objects in your project.

What does Bio Seq Objects need to run?

SKILL.md names no scripts, command-line tools or credentials: Bio Seq Objects is instructions for the agent only. Our summary lists: Python 3.

Does Bio Seq Objects access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Bio Seq Objects safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Bio Seq Objects use?

Bio Seq Objects is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Bio Seq Objects use?

About 1.6k tokens (SKILL.md is roughly 6.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Bio Seq Objects?

Skills that share tags, products or a category with Bio Seq Objects: Bio Alignment Io (GPTomics/bioSkills, 1.2k stars), Biopython Bioinformatics (aiming-lab/AutoResearchClaw, 15k stars), Bio Write Sequences (GPTomics/bioSkills, 1.2k stars) and Biopython (davila7/claude-code-templates, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Bio Seq Objects?

majiayu000 (a GitHub user) maintains it in majiayu000/claude-skill-registry, which has 666 GitHub stars. The repository holds 1,273 skills in this directory. The repository was last updated on October 7, 2026.

Source: majiayu000/claude-skill-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.