### Gtex Database
Works with
name: "gtex-database"
description: "Use when you want to retrieve quantitative RNA expression data and variant eQTL information from the GTEx (Genotype-Tissue Expression) Project across 54 non-diseased tissue sites."
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongtex-databaseExecute the skills CLI command in your project's root directory to begin installation:
Fetches gtex-database from google-deepmind/science-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate gtex-database. Access via /gtex-database in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
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| name | gtex-database |
| description | > Use when you want to retrieve quantitative RNA expression data and variant eQTL information from the GTEx (Genotype-Tissue Expression) Project across 54 non-diseased tissue sites. |
This skill retrieves transcriptomics data (RNA expression baselines) and expression Quantitative Trait Loci (eQTLs) from the GTEx Portal API V2. It provides access to median TPM (Transcripts Per Million) values for genes and significant eQTLs for variants across 54 human tissue sites.
uv: Read the uv skill and follow its Setup instructions to ensure
uv is installed and on PATH.Use this skill when you need to:
Do NOT use when you need to:
CRITICAL: You MUST respect GTEx Portal API Terms of Use.
Pick the right command on the first try. Match the user's input to the correct subcommand below.
resolve-gencode-idget-median-expressionget-top-expressed-tissuesget-gene-eqtlsget-eqtls-in-region# Map the TNF gene symbol to its GENCODE ID
uv run scripts/gtex_cli.py resolve-gencode-id TNF --output /tmp/tnf_id.json
# Get median expression of a gene by GENCODE ID
uv run scripts/gtex_cli.py get-median-expression ENSG00000232810.2 --output /tmp/tnf_expr.json
All subcommands write JSON to disk. Always save output in the /tmp/ directory.
The default output file is /tmp/gtex_output.json if --output is not
specified.
resolve-gencode-id — Gene Symbol → GENCODE IDMaps a standard gene symbol (e.g., "JUN", "TNF") to its Versioned GENCODE ID. This ID is required for all other expression and eQTL calls.
uv run scripts/gtex_cli.py resolve-gencode-id TNF --output /tmp/tnf_id.json
Arguments:
gene_symbol (positional): The standard gene symbol (e.g., "TNF").--output: Output file path (default: /tmp/gtex_output.json).get-median-expression — Get Median Expression (TPM)Retrieves the median TPM for a gene across all 54 GTEx tissue sites or specified tissues.
uv run scripts/gtex_cli.py get-median-expression ENSG00000232810.2 \
--tissues "Whole Blood,Spleen" --output /tmp/expr.json
Arguments:
gencode_id (positional): The Versioned GENCODE ID.--tissues: Comma-separated list of tissue IDs (optional, defaults to all
54 tissues).--output: Output file path (default: /tmp/gtex_output.json).get-top-expressed-tissues — Get Top Expressed TissuesReturns the n tissues with the highest median expression for the target gene.
uv run scripts/gtex_cli.py get-top-expressed-tissues ENSG00000232810.2 \
--n 5 --output /tmp/top_tissues.json
Arguments:
gencode_id (positional): The Versioned GENCODE ID.--n: Number of top tissues to return (default: 5).--output: Output file path.get-gene-eqtls — Get All eQTLs for a GeneReturns every significant eQTL associated with the gene across specified tissues.
uv run scripts/gtex_cli.py get-gene-eqtls ENSG00000232810.2 \
--tissues "Whole Blood" --output /tmp/eqtls.json
Arguments:
gencode_id (positional): The Versioned GENCODE ID.--tissues: Comma-separated list of tissue IDs (optional, defaults to all).--output: Output file path.get-eqtls-in-region — Get eQTLs in Chromosomal RegionReturns all significant single-tissue eQTLs within a chromosomal window (up to 8Mb).
uv run scripts/gtex_cli.py get-eqtls-in-region chr17 7000000 7100000 "Esophagus - Muscularis" \
--output /tmp/region_eqtls.json
Arguments:
chromosome (positional): Chromosome name (e.g., chr17).start (positional): Start position.end (positional): End position (max 8Mb from start).tissue_id (positional): The target tissue ID.--output: Output file path.# Step 1: Map symbol to GENCODE ID
uv run scripts/gtex_cli.py resolve-gencode-id GATA4 --output /tmp/gata4_id.json
# Step 2: Query for top tissues using the resolved ID
uv run scripts/gtex_cli.py get-top-expressed-tissues <gencode_id> --n 5 \
--output /tmp/gata4_top.json
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
google-deepmind/science-skills
google-deepmind/science-skills
google-deepmind/science-skills
K-Dense-AI/scientific-agent-skills
K-Dense-AI/scientific-agent-skills
K-Dense-AI/scientific-agent-skills
gtex-database reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added gtex-database from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in gtex-database — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for gtex-database matched our evaluation — installs cleanly and behaves as described in the markdown.
gtex-database is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
gtex-database fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in gtex-database — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
gtex-database is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: gtex-database is the kind of skill you can hand to a new teammate without a long onboarding doc.
gtex-database has been reliable in day-to-day use. Documentation quality is above average for community skills.
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