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Ncbi Sequence Fetch skill

Retrieve protein and nucleotide sequences from NCBI databases using E-utilities. Supports direct accession lookup, CDS translation, gene+organism search, locus lookup, PubMed-linked sequences, patent protein extraction, and organism+length fallback search. Use when you need to fetch biological sequences by accession, gene name, locus tag, PubMed ID, or patent number.

$npx skills add google-deepmind/science-skills --skill ncbi-sequence-fetch
GitHub stars
3,445
Pack installs
91k
Alyn Score
72/99
Updated
5 h ago
License
Apache-2.0

Google DeepMind

Ncbi Sequence Fetch

Install Ncbi Sequence Fetch

Pick your agent. Every command is ready to paste.

$npx skills add google-deepmind/science-skills --skill ncbi-sequence-fetch

The open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.

01

Install it

Run the command above, or upload the folder in Claude.

02

Ask naturally

Describe the task. Your agent loads ncbi-sequence-fetch when the request matches its description.

03

Name it if needed

If it does not trigger, say “use the ncbi-sequence-fetch skill”. In Codex, type $ncbi-sequence-fetch.

The skill itself

SKILL.md

GitHub

NCBI Sequence Fetch

Prerequisites

  1. uv: Read the uv skill and follow its Setup instructions to ensure uv is installed and on PATH.
  2. User Notification: If .licenses/ncbi_sequence_fetch_LICENSE.txt does not already exist in the workspace root directory then (1) prominently notify the user to check the terms at https://www.ncbi.nlm.nih.gov/ and https://www.ncbi.nlm.nih.gov/home/about/policies/, then (2) create the file recording the notification text and timestamp.
  3. .env file: Make sure the .env file exists in your home directory. Create one if it does not exist.
  4. NCBI_API_KEY (optional): Raises the NCBI rate limit from 3 to 10 requests/second. The skill works without it, but a key is recommended if the user plans many queries or encounters a 429 error. You can register for a key for free at https://www.ncbi.nlm.nih.gov/account/settings/. You MUST use the safe credentials protocol in the credentials skill to check for and request this key if this skill looks relevant to the user's request.

Core Rules

  • Use the Wrapper: ALWAYS execute the provided helper scripts to query the database rather than accessing the database directly. The scripts automatically enforce the required rate limit gracefully.
  • API Key Support: If the user provides an NCBI_API_KEY in their environment, the query speed limits are automatically increased significantly.
  • Notification: If this skill is used, ensure this is mentioned in the output.

Overview

Wraps NCBI's Entrez E-utilities (efetch, esearch, elink, esummary) for retrieving protein and nucleotide sequences. Provides 10 subcommands covering the full range of sequence retrieval workflows:

  • fetch-protein — Direct protein accession lookup (GenPept, RefSeq)
  • fetch-nucleotide — Direct nucleotide accession lookup
  • cds-translate — Fetch CDS and translate to protein (3 methods)
  • search — Free-text search of any NCBI database
  • elink — Follow cross-database links (PubMed→Protein, etc.)
  • gene-protein — Search protein by gene name + organism
  • locus-protein — Search protein by locus tag + organism
  • pubmed-proteins — Find proteins linked to a PubMed article
  • patent-search — Extract protein sequences from patents
  • organism-length — Last-resort search by organism + exact AA length

Utility Scripts

scripts/ncbi_fetch.py — Single script with subcommands.

All subcommands write structured JSON output. Use --output FILE to save to a file, or omit it to print to stdout. A human-readable summary is always printed to stdout.

1. Fetch Protein by Accession

Fetches protein FASTA from NCBI by accession (XP_, NP_, GenPept, etc.)

uv run scripts/ncbi_fetch.py fetch-protein XP_022033624 -o /tmp/result.json
uv run scripts/ncbi_fetch.py fetch-protein NP_001234567 ABC12345.1

2. Fetch Nucleotide by Accession

Fetches nucleotide FASTA from NCBI by accession.

uv run scripts/ncbi_fetch.py fetch-nucleotide MK034466 -o /tmp/result.json

3. CDS Translate

Fetches a CDS/nucleotide accession and translates to protein sequence. Tries three approaches in order: 1. NCBI's pre-translated CDS protein (fasta_cds_aa)

  1. GenBank XML CDS annotation translations 3. Raw nucleotide → 6-frame ORF finding
uv run scripts/ncbi_fetch.py cds-translate MK034466 -o /tmp/result.json
uv run scripts/ncbi_fetch.py cds-translate HQ662330 --target-length 1043

If the accession is a genomic record (not mRNA/CDS), the tool will report is_genomic: true so you can fall back to a homology-based approach instead.

4. Search Any Database

Free-text search using Entrez query syntax. Supports all NCBI databases.

# Search protein database
uv run scripts/ncbi_fetch.py search "WRR4B[Gene Name] AND Arabidopsis[Organism]" \
  --database protein --retmax 5 --fetch-sequences

# Search nucleotide database
uv run scripts/ncbi_fetch.py search "Rz2[Gene Name] AND Beta vulgaris[Organism]" \
  --database nuccore --retmax 10

# Search with patent filter
uv run scripts/ncbi_fetch.py search "disease resistance AND Solanum[Organism] AND patent[Properties]" \
  --database protein --fetch-sequences

# Search by sequence length
uv run scripts/ncbi_fetch.py search '"Oryza sativa"[Organism] AND 1043[SLEN]' \
  --database protein --fetch-sequences --retmax 50

Follow NCBI's cross-database links (e.g., PubMed article → linked proteins).

uv run scripts/ncbi_fetch.py elink 24896089 --dbfrom pubmed --db protein \
  --fetch-sequences -o /tmp/linked.json

Searches for protein sequences by gene name and organism. Searches NCBI Protein with [Gene Name] and [Organism] qualifiers.

uv run scripts/ncbi_fetch.py gene-protein WRR4B --organism "Arabidopsis thaliana"
uv run scripts/ncbi_fetch.py gene-protein Pikh-2 --organism "Oryza sativa" \
  --target-length 1043 -o /tmp/result.json

Searches by locus tag in both NCBI Protein and Nuccore databases. Extracts CDS translations from GenBank XML when direct protein hits aren't available.

uv run scripts/ncbi_fetch.py locus-protein At1g56540 --organism "Arabidopsis thaliana"
uv run scripts/ncbi_fetch.py locus-protein Niben101Scf02422g02015.1 \
  --organism "Nicotiana benthamiana" -o /tmp/result.json

8. PubMed-Linked Proteins

Finds protein sequences linked to a PubMed article. Searches NCBI Protein by PMID, follows elink PubMed→Protein, and extracts CDS translations from linked Nuccore records.

uv run scripts/ncbi_fetch.py pubmed-proteins 30692254 --identifier WRR4B
uv run scripts/ncbi_fetch.py pubmed-proteins 24896089 --identifier "K2" \
  -o /tmp/result.json

Two modes:

By patent number — fetches all protein sequences from a specific patent: bash uv run scripts/ncbi_fetch.py patent-search --patent-number US10123456 -o /tmp/patent.json

By keywords — searches NCBI Protein with patent[Properties] filter: bash uv run scripts/ncbi_fetch.py patent-search --keywords WRR4B Albugo --organism "Arabidopsis thaliana" -o /tmp/patent.json

[!IMPORTANT] Patent convention: In molecular biology patents, SEQ ID NO: 1 is typically the DNA sequence and SEQ ID NO: 2 is the primary protein. Higher SEQ ID NOs are variants or related sequences. Prefer Sequence 2 when selecting the primary protein of interest.

Last-resort search when only organism and expected protein length are known. Uses NCBI's [SLEN] filter for exact length matching.

uv run scripts/ncbi_fetch.py organism-length \
  --organism "Arabidopsis thaliana" --length 1048 --retmax 50 \
  -o /tmp/result.json

[!NOTE] This often returns multiple candidates. Use the JSON output headers to identify the correct protein.

Workflow

Standard Sequence Retrieval Cascade

When trying to find a protein sequence, follow this priority order:

  1. Direct accession — fetch-protein with GenPept/RefSeq accession
  2. CDS translation — cds-translate with nucleotide/CDS accession
  3. PubMed-linked — pubmed-proteins with PMID + gene name
  4. Locus lookup — locus-protein with locus tag + organism
  5. Gene + organism — gene-protein with gene name + organism
  6. Patent search — patent-search with patent number or keywords
  7. Organism + length — organism-length as last resort

Interpreting Results

  • All subcommands return JSON with a results array
  • Each result has sequence (AA string), length, and header/metadata
  • When multiple results are returned, select by:
    • Closest match to expected length (target_length)
    • Header relevance (matching gene name, "disease resistance" keywords)
    • Source priority (RefSeq > GenPept > patent)

Reference

  • NCBI E-utilities docs: https://www.ncbi.nlm.nih.gov/books/NBK25499/
  • Entrez search syntax: https://www.ncbi.nlm.nih.gov/books/NBK49540/
  • Database list: protein, nuccore, gene, pubmed, pmc, biosample, etc.
  • Common accession formats:
    • XP_ / NP_ — NCBI RefSeq protein
    • AAA to AZZ + digits — GenPept (translated GenBank)
    • MK, MN, HQ, etc. + digits — GenBank nucleotide
    • ENSG, ENST, ENSP — Ensembl (use ensembl-database skill instead)
    • Q, P, O + digits — UniProt (use uniprot-database skill instead)

Tips for Ncbi Sequence Fetch

  • • Start a fresh session after installing so your agent picks up the new skill.
  • • This skill ships scripts. Read them before the first run, and run it in a project without secrets first.
  • • It bundles reference files. The agent reads them only when needed, so they cost no context until then.
  • • It is part of a pack with 40 skills. Install only the ones you need with --skill to keep triggers precise.
  • • If two skills overlap, mention the one you want by name.

Questions about Ncbi Sequence Fetch

What does the Ncbi Sequence Fetch skill do?

Retrieve protein and nucleotide sequences from NCBI databases using E-utilities. Supports direct accession lookup, CDS translation, gene+organism search, locus lookup, PubMed-linked sequences, patent protein extraction, and organism+length fallback search. Use when you need to fetch biological sequences by accession, gene name, locus tag, PubMed ID, or patent number.

How do I install Ncbi Sequence Fetch?

Run "npx skills add google-deepmind/science-skills --skill ncbi-sequence-fetch" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.

Does Ncbi Sequence Fetch work in Cursor and Codex?

Yes. Ncbi Sequence Fetch uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.

Is Ncbi Sequence Fetch free?

Ncbi Sequence Fetch is open source on GitHub under the Apache-2.0 license. It is free to install; check the license before commercial use.

Who made Ncbi Sequence Fetch?

Ncbi Sequence Fetch is published by Google DeepMind in the google-deepmind/science-skills repository, together with 39 other skills.

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