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Tooluniverse Sequence Retrieval

CommunityPopular
wu-yc
tooluniverse-sequence-retrieval

Retrieves biological sequences (DNA, RNA, protein) from NCBI and ENA with gene disambiguation, accession type handling, and comprehensive sequence profiles. Creates detailed reports with sequence metadata, cross-database references, and download options. Use when users need nucleotide sequences, protein sequences, genome data, or mention GenBank, RefSeq, EMBL accessions.

Overview

Publisherwu-yc
RepositoryLabClaw
Skill nametooluniverse-sequence-retrieval
Stars
1.1K
Forks
161
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by wu-yc on GitHub. Read the source before you install it.

Installation

Install the Tooluniverse Sequence Retrieval AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/wu-yc/LabClaw/tree/main/skills/bio/tooluniverse-sequence-retrieval
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/wu-yc/LabClaw.git /tmp/LabClaw
mkdir -p .claude/skills
cp -r /tmp/LabClaw/skills/bio/tooluniverse-sequence-retrieval .claude/skills/tooluniverse-sequence-retrieval
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tooluniverse Sequence Retrieval in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Tooluniverse Sequence Retrieval on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Tooluniverse Sequence Retrieval is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Biological Sequence Retrieval

Retrieve DNA, RNA, and protein sequences with proper disambiguation and cross-database handling.

IMPORTANT: Always use English terms in tool calls (gene names, organism names, sequence descriptions), even if the user writes in another language. Only try original-language terms as a fallback if English returns no results. Respond in the user's language.

Workflow Overview

Phase 0: Clarify (if needed)
    ↓
Phase 1: Disambiguate Gene/Organism
    ↓
Phase 2: Search & Retrieve (Internal)
    ↓
Phase 3: Report Sequence Profile

Phase 0: Clarification (When Needed)

Ask the user ONLY if:

  • Gene name exists in multiple organisms (e.g., "BRCA1" → human or mouse?)
  • Sequence type unclear (mRNA, genomic, protein?)
  • Strain/isolate matters (e.g., E. coli → K-12, O157:H7, etc.)

Skip clarification for:

  • Specific accession numbers (NC_, NM_, U*, etc.)
  • Clear organism + gene combinations
  • Complete genome requests with organism specified

Phase 1: Gene/Organism Disambiguation

1.1 Resolve Identifiers

python
from tooluniverse import ToolUniverse
tu = ToolUniverse()
tu.load_tools()

# Strategy depends on input type
if user_provided_accession:
    # Direct retrieval based on accession type
    accession = user_provided_accession
    
elif user_provided_gene_and_organism:
    # Search NCBI Nucleotide
    result = tu.tools.NCBI_search_nucleotide(
        operation="search",
        organism=organism,
        gene=gene,
        limit=10
    )

1.2 Accession Type Decision Tree

CRITICAL: Accession prefix determines which tools to use.

PrefixTypeUse With
NC_*RefSeq chromosomeNCBI only
NM_*RefSeq mRNANCBI only
NR_*RefSeq ncRNANCBI only
NP_*RefSeq proteinNCBI only
XM_*RefSeq predicted mRNANCBI only
U*, M*, K*, X*GenBankNCBI or ENA
CP*, NZ_*GenBank genomeNCBI or ENA
EMBL formatEMBLENA preferred

1.3 Identity Resolution Checklist

  • Organism confirmed (scientific name)
  • Gene symbol/name identified
  • Sequence type determined (genomic/mRNA/protein)
  • Strain specified (if relevant)
  • Accession prefix identified → tool selection

Phase 2: Data Retrieval (Internal)

Retrieve silently. Do NOT narrate the search process.

2.1 Search for Sequences

python
# Search NCBI Nucleotide
result = tu.tools.NCBI_search_nucleotide(
    operation="search",
    organism=organism,
    gene=gene,
    strain=strain,  # Optional
    keywords=keywords,  # Optional
    seq_type=seq_type,  # complete_genome, mrna, refseq
    limit=10
)

# Get accession numbers from UIDs
accessions = tu.tools.NCBI_fetch_accessions(
    operation="fetch_accession",
    uids=result["data"]["uids"]
)

2.2 Retrieve Sequence Data

python
# Get sequence in desired format
sequence = tu.tools.NCBI_get_sequence(
    operation="fetch_sequence",
    accession=accession,
    format="fasta"  # or "genbank"
)

# GenBank format for annotations
annotations = tu.tools.NCBI_get_sequence(
    operation="fetch_sequence",
    accession=accession,
    format="genbank"
)

2.3 ENA Alternative (for GenBank/EMBL accessions)

python
# Only for non-RefSeq accessions!
if not accession.startswith(("NC_", "NM_", "NR_", "NP_", "XM_", "XR_")):
    # ENA entry info
    entry = tu.tools.ena_get_entry(accession=accession)
    
    # ENA FASTA
    fasta = tu.tools.ena_get_sequence_fasta(accession=accession)
    
    # ENA summary
    summary = tu.tools.ena_get_entry_summary(accession=accession)

Fallback Chains

PrimaryFallbackNotes
NCBI_get_sequenceENA (if GenBank format)NCBI unavailable
ENA_get_entryNCBI_get_sequenceENA doesn't have RefSeq
NCBI_search_nucleotideTry broader keywordsNo results

Critical Rule: Never try ENA tools with RefSeq accessions (NC_, NM_, etc.) - they will return 404 errors.


Phase 3: Report Sequence Profile

Output Structure

Present as a Sequence Profile Report. Hide search process.

markdown
# Sequence Profile: [Gene/Organism]

**Search Summary**
- Query: [gene] in [organism]
- Database: NCBI Nucleotide
- Results: [N] sequences found

---

## Primary Sequence

### [Accession]: [Definition/Title]

| Attribute | Value |
|-----------|-------|
| **Accession** | [accession] |
| **Type** | RefSeq / GenBank |
| **Organism** | [scientific name] |
| **Strain** | [strain if applicable] |
| **Length** | [X,XXX bp / aa] |
| **Molecule** | DNA / mRNA / Protein |
| **Topology** | Linear / Circular |

**Curation Level**: ●●● RefSeq (curated) / ●●○ GenBank (submitted) / ●○○ Third-party

### Sequence Statistics
| Statistic | Value |
|-----------|-------|
| **Length** | [X,XXX] bp |
| **GC Content** | [XX.X]% |
| **Genes** | [N] (if genome) |
| **CDS** | [N] (if annotated) |

### Sequence Preview
```fasta
>[accession] [definition]
ATGCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCG
ATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGATCGA
... [truncated, full sequence in download]

Annotations Summary (from GenBank format)

FeatureCountExamples
CDS[N][gene names]
tRNA[N]-
rRNA[N]16S, 23S
Regulatory[N]promoters

Alternative Sequences

Ranked by relevance and curation level:

AccessionTypeLengthDescriptionENA Compatible
NC_000913.3RefSeq4.6 MbE. coli K-12 reference✗
U00096.3GenBank4.6 MbE. coli K-12✓
CP001509.3GenBank4.6 MbE. coli DH10B✓

Cross-Database References

DatabaseAccessionLink
RefSeq[NC_*][NCBI link]
GenBank[U*][NCBI link]
ENA/EMBL[same as GenBank][ENA link]
BioProject[PRJNA*][link]
BioSample[SAMN*][link]

Download Options

Formats Available

FormatDescriptionUse Case
FASTASequence onlyBLAST, alignment
GenBankSequence + annotationsGene analysis
GFF3Annotations onlyGenome browsers

Direct Commands

python
# FASTA format
tu.tools.NCBI_get_sequence(
    operation="fetch_sequence",
    accession="[accession]",
    format="fasta"
)

# GenBank format (with annotations)
tu.tools.NCBI_get_sequence(
    operation="fetch_sequence",
    accession="[accession]",
    format="genbank"
)

Related Sequences

Other Strains/Isolates

AccessionStrainSimilarityNotes
[acc1][strain1]99.9%[notes]
[acc2][strain2]99.5%[notes]

Protein Products (if applicable)

Protein AccessionProduct NameLength
[NP_*][protein name][X] aa

Retrieved: [date] Database: NCBI Nucleotide


---

## Curation Level Tiers

| Tier | Symbol | Accession Prefix | Description |
|------|--------|------------------|-------------|
| RefSeq Reference | ●●●● | NC_, NM_, NP_ | NCBI-curated, gold standard |
| RefSeq Predicted | ●●●○ | XM_, XP_, XR_ | Computationally predicted |
| GenBank Validated | ●●○○ | Various | Submitted, some curation |
| GenBank Direct | ●○○○ | Various | Direct submission |
| Third Party | ○○○○ | TPA_ | Third-party annotation |

Include in report:
```markdown
**Curation Level**: ●●●● RefSeq Reference
- Curated by NCBI RefSeq project
- Regular updates and validation
- Recommended for reference use

Completeness Checklist

Every sequence report MUST include:

Per Sequence (Required)

  • Accession number
  • Organism (scientific name)
  • Sequence type (DNA/RNA/protein)
  • Length
  • Curation level
  • Database source

Search Summary (Required)

  • Query parameters
  • Number of results
  • Ranking rationale

Include Even If Limited

  • Alternative sequences (or "Only one sequence found")
  • Cross-database references (or "No cross-references available")
  • Download instructions

Common Use Cases

Reference Genome

User: "Get E. coli K-12 complete genome"

python
result = tu.tools.NCBI_search_nucleotide(
    operation="search",
    organism="Escherichia coli",
    strain="K-12",
    seq_type="complete_genome",
    limit=3
)
# Return NC_000913.3 (RefSeq reference)

Gene Sequence

User: "Find human BRCA1 mRNA"

python
result = tu.tools.NCBI_search_nucleotide(
    operation="search",
    organism="Homo sapiens",
    gene="BRCA1",
    seq_type="mrna",
    limit=10
)

Specific Accession

User: "Get sequence for NC_045512.2" → Direct retrieval with full metadata

Strain Comparison

User: "Compare E. coli K-12 and O157:H7 genomes" → Search both strains, provide comparison table


Error Handling

ErrorResponse
"No search criteria provided"Add organism, gene, or keywords
"ENA 404 error"Accession is likely RefSeq → use NCBI only
"No results found"Broaden search, check spelling, try synonyms
"Sequence too large"Note size, provide download link instead of preview
"API rate limit"Tools auto-retry; if persistent, wait briefly

Tool Reference

NCBI Tools (All Accessions)

ToolPurpose
NCBI_search_nucleotideSearch by gene/organism
NCBI_fetch_accessionsConvert UIDs to accessions
NCBI_get_sequenceRetrieve sequence data

ENA Tools (GenBank/EMBL Only)

ToolPurpose
ena_get_entryEntry metadata
ena_get_sequence_fastaFASTA sequence
ena_get_entry_summarySummary info

Search Parameters Reference

NCBI_search_nucleotide

ParameterDescriptionExample
operationAlways "search""search"
organismScientific name"Homo sapiens"
geneGene symbol"BRCA1"
strainSpecific strain"K-12"
keywordsFree text"complete genome"
seq_typeSequence type"complete_genome", "mrna", "refseq"
limitMax results10

NCBI_get_sequence

ParameterDescriptionExample
operationAlways "fetch_sequence""fetch_sequence"
accessionAccession number"NC_000913.3"
formatOutput format"fasta", "genbank"

Frequently asked questions

What does the Tooluniverse Sequence Retrieval AI skill do?

Retrieves biological sequences (DNA, RNA, protein) from NCBI and ENA with gene disambiguation, accession type handling, and comprehensive sequence profiles. Creates detailed reports with sequence metadata, cross-database references, and download options. Use when users need nucleotide sequences, protein sequences, genome data, or mention GenBank, RefSeq, EMBL accessions.

Why use Tooluniverse Sequence Retrieval on TypingMind?

Because you install it once and use it with any model. Tooluniverse Sequence Retrieval is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Tooluniverse Sequence Retrieval in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wu-yc/LabClaw/tree/main/skills/bio/tooluniverse-sequence-retrieval. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Tooluniverse Sequence Retrieval?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Tooluniverse Sequence Retrieval?

As many as you like. As long as a model supports skills, you can use Tooluniverse Sequence Retrieval with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Tooluniverse Sequence Retrieval AI skill free?

It is published on GitHub by wu-yc. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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