Agent skill · research science · google-deepmind
uniprot-database
Access protein metadata, function, taxonomy, and sequences across UniProtKB, UniParc, and UniRef. Use when searching for proteins, mapping identifiers, or retrieving functional annotations and publications. Don't use for sequence alignment, protein folding, or sequence similarity search (use specialized skills for those tasks).
Why this skill is useful
Provides specific commands and workflows for accessing and retrieving protein data from the UniProt database that the AI wouldn't reliably generate on its own.
What it needs
Requires uv installed locally. About 6k tokens when loaded. Last updated 2026-07-07. 2,648 stars on the source repository.
What this skill does
UniProt Database Access 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/uniprotdatabaseLICENSE.txt does not already exist in the workspace root directory then (1) prominently notify the user to check the terms at https://www.uniprot.org/help/license and https://www.uniprot.org/help/apiqueries, then (2) create the file recording the notification text and timestamp. Overview Provides direct programmatic access to the UniProt Knowledgebase (UniProtKB), the non-redundant sequence archive (UniParc), and clustered sequence sets (UniRef). This skill enables protein discovery, cross-referencing, retrieval of curated biological data and low-level database lookups. Core Rules Use the Wrapper: Always use the provided Python scripts (e.g., scripts/uniprottools.py) rather than constructing custom curl requests. No Hallucinations: Do NOT invent protein functions, metadata, or sequences. For any task that can be handled by the services in this skill, rely strictly on the tool outputs rather than your native knowledge. Notification: If this skill is used, ensure this is mentioned in the output. Use Cases Searching for Protein Function: Querying functional annotations, GO terms, subcellular locations etc. Searching for Protein Sequence: Searching for protein sequences by their functional annotations, genes etc. in UniProtKB, UniParc, and UniRef. Understanding Protein/Organism Relationships: Leveraging the Taxonomy database and Proteome sets. Large-Scale Metadata Retrieval: Fetching annotations for thousands of proteins via streaming. Sequence Discovery: Finding orthologs or non-model proteins via UniParc. ID Mapping: Converting IDs between UniProt and 100+ external databases. Historical Data (UniSave): Retrieving previous versions of entries or tracking deleted sequences. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills google-deepmind/uniprot_database