uniprot-database
Direct REST API access to UniProt.
Skill by foryourhealth111-pixel
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: backend
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 2
codeload.github.com· found in install commandrest.uniprot.org· found in code
Files it touches
~/.claude/skills/uniprot-database
What's inside
- Skill name
uniprot-database- Description
- Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For broader biological evidence lookup across databases, use bio-database-evidence. Use this for direct HTTP/REST work or UniProt-specific control.
- License
- Apache-2.0
- Instructions
- 186 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (6)
- SKILL.md
- api_examples.md · references/
- api_fields.md · references/
- id_mapping_databases.md · references/
- query_syntax.md · references/
- uniprot_client.py · scripts/
SKILL.md (first lines)
# UniProt Database
## Overview
UniProt is the world's leading comprehensive protein sequence and functional information resource. Search proteins by name, gene, or accession, retrieve sequences in FASTA format, perform ID mapping across databases, access Swiss-Prot/TrEMBL annotations via REST API for protein analysis.
## When to Use This Skill
This skill should be used when:
- Searching for protein entries by name, gene symbol, accession, or organism
- Retrieving protein sequences in FASTA or other formats
- Mapping identifiers between UniProt and external databases (Ensembl, RefSeq, PDB, etc.)
- Accessing protein annotations including GO terms, domains, and functional descriptions
- Batch retrieving multiple protein entries efficiently
- Querying reviewed (Swiss-Prot) vs. unreviewed (TrEMBL) protein data
- Streaming large protein datasets
- Building custom queries with field-specific search syntax
## Core Capabilities
### 1. Searching for Proteins
Search UniProt using natural language queries or structured search syntax.
**Common search patterns:**
```python
# Search by protein name
query = "insulin AND organism_name:\"Homo sapiens\""
# Search by gene name
query = "gene:BRCA1 AND reviewed:true"
# Search by accession
query = "accession:P12345"
# Search by sequence length
query = "length:[100 TO 500]"
# Search by taxonomy
query = "taxonomy_id:9606" # Human proteins
# Search by GO term
query = "go:0005515" # Protein binding
```
Use the API search endpoint: `https://rest.uniprot.org/uniprotkb/search?query={query}&format={format}`
**Supported formats:** JSON, TSV, Excel, XML, FASTA, RDF, TXT
### 2. Retrieving Individual Protein Entries
Retrieve specific protein entries by accession number.
**Accession number formats:**
- Classic: P12345, Q1AAA9, O15530 (6 characters: letter + 5 alphanumeric)
- Extended: A0A022YWF9 (10 characters for newer entries)
**Retrieve endpoint:** `https://rest.uniprot.org/uniprotkb/{accession}.{format}`
Example: `https://rest.uniprot.org/uniprotkb/P12345.fasta`
### 3. Batch Retrieval and ID Mapping
Map protein identifiers between different database systems and retrieve multiple entries efficiently.
**ID Mapping workflow:**
1. Submit mapping job to: `https://rest.uniprot.org/idmapping/run`
2. Check job status: `https://rest.uniprot.org/idmapping/status/{jobId}`
3. Retrieve results: `https://rest.uniprot.org/idmapping/results/{jobId}`
**Supported databases for mapping:**
- UniProtKB AC/ID
- Gene names
- Ensembl, RefSeq, EMBL
- PDB, AlphaFoldDB
- KEGG, GO terms
- And many more (see `/references/id_mapping_databases.md`)
**Limitations:**
- Maximum 100,000 IDs per job
- Results stored for 7 days
### 4. Streaming Large Result Sets
For large queries that exceed pagination limits, use the stream endpoint:
`https://rest.uniprot.org/uniprotkb/stream?query={query}&format={format}`
The stream endpoint returns all results without pagination, suitable for downloading complete datasets.
### 5. Customizing Retrieved Fields
Specify exactly which fields to retrieve for efficient data transfer.
**Common fields:**
- `accession` - UniProt accession number
- `id` - Entry name
- `gene_names` - Gene name(s)
- `organism_name` - Organism
- `protein_name` - Protein names
- `sequence` - Amino acid sequence
- `length` - Sequence length
- `go_*` - Gene Ontology annotations
- `cc_*` - Comment fields (function, interaction, etc.)
- `ft_*` - Feature annotations (domains, sites, etc.)
**Example:** `https://rest.uniprot.org/uniprotkb/search?query=insulin&fields=accession,gene_names,organism_name,length,sequence&format=tsv`
See `/references/api_fields.md` for complete field list.
## Python Implementation
For programmatic access, use the provided helper script `scripts/uniprot_client.py` which implements:
- `search_proteins(query, format)` - Search UniProt with any query
- `get_protein(accession, format)` - Retrieve single protein entry
- `map_ids(ids, from_db, to_db)` - Map between identifier types
- `batch_retrieve(accessions, format)` - Retrieve multiple entries
- `stream_results(query, format)` - Stream large result setsFrom foryourhealth111-pixel/Vibe-Skills, Apache-2.0.
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Signals
- Stars
- 3,764
- Forks
- 341
- Open issues
- 36
- Last commit (this folder)
- Apr 30, 2026 (6 months ago)
- Last release
- Oct 18, 2026 (10 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
uniprot-database skill. Agent Mart. https://agentmart.dev/skills/foryourhealth111-pixel-uniprot-database (last updated 2026-10-24)