Agent skill

Alphagenome Atlas Website Links

by google-deepmind in google-deepmind/science-skills

Constructs deep-links and URLs for the AlphaGenome Atlas website.

Apache-2.0Auto-check passedResearch & Science

Install Alphagenome Atlas Website Links

skills CLI
$ npx skills add google-deepmind/science-skills --skill alphagenome-atlas-website-links -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install google-deepmind/science-skills alphagenome-atlas-website-links --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/google-deepmind/science-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/alphagenome_atlas_website_links .claude/skills/alphagenome-atlas-website-links && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
alphagenome-atlas-website-links
GitHub stars
3.2k
Token cost
~2.9k tokens
SKILL.md length
932 words
Files
3 (incl. scripts)
Skills in repo
40
Repo updated
First seen
Licence
Apache-2.0

At a glance

Constructs deep-links and URLs for the AlphaGenome Atlas website.

  • Works in 4 steps: URL Query Parameters → Multi-Modality Filtering & The Assay… → Layout Configuration, AVI Scores, &… → …
  • Linking genetic variants and genomic loci on the AlphaGenome Atlas
  • SKILL.md covers Prerequisites, 2. URL Query Parameters, 3. Multi-Modality Filtering &… and 4. Layout Configuration, AVI…, plus 1 more section
  • Runs Python scripts from its folder; calls uv; reaches deepmind.google.com

What it does

Alphagenome Atlas Website Links is an agent skill from google-deepmind/science-skills. Constructs deep-links and URLs for the AlphaGenome Atlas website. Supports generating single-variant exploration links (1-based chr:pos:refalt), genomic locus views (1-based closed chr:start-end), candidate summary tables, and AlphaGenome reference vs. alternate predictions. Use whenever visualizing, exploring, charting, or linking genetic variants and genomic loci on the AlphaGenome Atlas, or when asked to inspect, view, or link predictions for a genomic variant.

Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/alphagenome_atlas_links.py`).

It sits in Research & Science, covering Bioinformatics. The repository describes itself as: GDM Science Skills to speed up agentic scientific workflows with better grounding and higher token efficiency. Integrate insights from AlphaGenome, AFDB, UniProt and 30+ other… The licence is Apache-2.0.

When your agent uses it

  • Linking genetic variants and genomic loci on the AlphaGenome Atlas
  • Asked to inspect
  • Link predictions for a genomic variant

Example prompts

  • “Use the alphagenome-atlas-website-links skill to construct deep-links and URLs for the AlphaGenome Atlas website”
  • “/alphagenome-atlas-website-links”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. URL Query Parameters
  2. Multi-Modality Filtering & The Assay Group Gotcha (f)
  3. Layout Configuration, AVI Scores, & Pinned Tracks (lItems)
  4. Track Predictions & Ref vs. Alt Comparisons (/atlas/track-predictions)

What it can do on your machine

Read from SKILL.md and the folder at commit 8ab7672. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • deepmind.google.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Alphagenome Atlas Website Links loads about 2.9k tokens when it runs. Until then it costs about 125 tokens; SKILL.md has 932 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~125
When it runs · the whole SKILL.md, loaded when a task matches
~2.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from google-deepmind/science-skills at commit 8ab7672, republished under its Apache-2.0 licence (© google-deepmind). 932 words, ~2,884 tokens.

Download SKILL.mdSave it as .claude/skills/alphagenome-atlas-website-links/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
alphagenome-atlas-website-links
description
Constructs deep-links and URLs for the AlphaGenome Atlas website. Supports generating single-variant exploration links (1-based chr:pos:ref>alt), genomic locus views (1-based closed chr:start-end), candidate summary tables, and AlphaGenome reference vs. alternate predictions. Use whenever visualizing, exploring, charting, or linking genetic variants and genomic loci on the AlphaGenome Atlas, or when asked to inspect, view, or link predictions for a genomic variant.

AlphaGenome Atlas Deep-Linking & URL Configuration

Construct and validate deep-links for the AlphaGenome Atlas web application (https://deepmind.google.com/science/alphagenome/atlas).

Base URL: https://deepmind.google.com/science/alphagenome/atlas

[!IMPORTANT] Mandatory Atlas Deep-Linking with Variant Scores: Whenever presenting, discussing, or scoring genetic variants, you MUST always provide clickable deep-links to the AlphaGenome Atlas. Use scripts/alphagenome_atlas_links.py to automate link and table generation.


Prerequisites

bash
# 1. Single Variant Exploration Link:
uv run scripts/alphagenome_atlas_links.py variant "chr9:128225994:G>A" \
  --biosample K562 \
  --modalities RNA_SEQ,DNASE,CHIP_TF

# 2. Genomic Locus / Interval Link:
uv run scripts/alphagenome_atlas_links.py locus "chr11:5288500-5290500" \
  --biosample K562 \
  --modalities RNA_SEQ,DNASE,CHIP_TF

# 3. Format Candidate Variant Records Table (with embedded clickable links):
uv run scripts/alphagenome_atlas_links.py table --input top_variants.json --biosample K562

# 4. Construct Ref vs. Alt Track Predictions Link (/atlas/track-predictions):
uv run scripts/alphagenome_atlas_links.py track-predictions \
  --variant "chr15:42387805:C>G" \
  --gene CAPN3 \
  --biosample "Muscle_Skeletal"

2. URL Query Parameters

  • q (string, Required): Primary search target. Supports 1-based closed intervals (chr11:5288500-5290500), gene symbols (BRCA1), Ensembl IDs (ENSG00000012048), or 1-based variants (chr7:27170000:A>G).
  • m (enum, Optional): View mode. Defaults to entity for genes/variants and locus for coordinate intervals. Use variant for variant queries. (Allowed: locus, entity, variant, motifs).
  • i (string, Optional): Centered viewport zoom interval in 1-based closed chr:start-end format (e.g. chr11:5289310-5289690). Required for automatic motif rendering.
  • f (string, Optional): Comma-separated filter predicates in KEY:VALUE format (e.g. BIOSAMPLE_NAME:K562,SCORER_MODALITY:RNA-seq,ASSAY_TRANSCRIPTOR_FACTOR:GATA1). Controls visible heatmap rows.
  • lItems (string, Optional): Layout item sequence, AVI score track toggle (avi), section heatmaps, and pinned tracks list (e.g. avi,section:RNA_SEQ,section:DNASE,pinned:<TrackKey>).
  • scores (string, Optional): Comma-separated list of ScoreId tokens for the /atlas/track-predictions page comparison (e.g. <ScoreId1>,<ScoreId2>).
  • md (enum, Optional): Active modality tab selector on the track predictions view (RNA_SEQ, SPLICE_JUNCTIONS, SPLICE_SITE_USAGE, DNASE).
  • tpRenames (string, Optional): Custom title overrides for specific score predictions (ScoreId:CustomTitle).
  • tpLegendTitle (string, Optional): Custom legend title for the track predictions chart card (e.g. Predicted Gene Expression).

[!IMPORTANT] Variant Query Format: Variants in q must strictly use chr:pos_1_based:ref>alt format (e.g. chr7:27170000:A>G or URL-encoded chr7:27170000:A%3EG, where the position is 1-based). Do not use colon-separated alleles (A:G) or dbSNP rsIDs (rsIDs are unsupported).


3. Multi-Modality Filtering & The Assay Group Gotcha (f)

Filter Groups & Boolean Evaluation

Filters in f map to three primary evaluation groups:

  • Biosample Group (BIOSAMPLE_NAME, BIOSAMPLE_TYPE): Evaluated with AND logic.
  • Assay Group (SCORER_MODALITY, ASSAY_TRANSCRIPTOR_FACTOR, ASSAY_HISTONE_MARK): Evaluated with OR logic.
  • Gene Group (GENE_NAME): Evaluated with OR logic.
⚠️ Mandatory Multi-Modality Filter Rule

RNA-seq and DNase tracks have no transcription factor code (transcriptionFactorCode === ""). If f contains only ASSAY_TRANSCRIPTOR_FACTOR filters under the Assay group, RNA-seq and DNase tracks fail the Assay evaluation and are hidden from the heatmap.

To display RNA-seq and DNase tracks alongside specific ChIP-seq transcription factors, explicitly include SCORER_MODALITY:RNA-seq and SCORER_MODALITY:DNase in f (handled automatically by scripts/alphagenome_atlas_links.py):

f=BIOSAMPLE_NAME:<CellLine>,SCORER_MODALITY:RNA-seq,SCORER_MODALITY:DNase,ASSAY_TRANSCRIPTOR_FACTOR:<TF1>,ASSAY_TRANSCRIPTOR_FACTOR:<TF2>

4. Layout Configuration, AVI Scores, & Pinned Tracks (lItems)

Plotting AVI Scores and Modality Sections
  • AVI Variant Impact Track (avi): Including avi in lItems renders the top-level AlphaGenome Variant Impact score track for the interval or variant.
  • Database Modality Sections (section:<MODALITY>): Sections render full unpinned heatmaps across all matching tracks for that modality (e.g. section:RNA_SEQ, section:DNASE, section:CHIP_TF, section:ATAC, section:CAGE).
Pinned Tracks & Motif Instances

[!NOTE] Track-Specific Motif Guideline: Pinned Active-ISM tracks with motif instances and Contribution Weight Matrix (CWM) logos should only be added when specifically requested for individual tracks. Only a limited subset of tracks (such as key ChIP-TF or RNA-seq tracks relevant to the locus) support and benefit from pinned motif overlays. For standard exploration links, default section heatmaps (avi,section:RNA_SEQ,section:DNASE,section:CHIP_TF) without pinned tracks are preferred.

Motif instances and CWM logos render exclusively on pinned tracks at base-pair resolution. General section heatmaps do not trigger motif footprint rendering.

Pinned Track Key Schema
pinned:<TrackMetadataName>:<StrandNumber>:<ScorerShortName>:heatmap:HEATMAP_TILESET_SOURCE_ACTIVE_ISM_SCORES:<TilesetId>
  • <TrackMetadataName>: Exact track name from production metadata proto, URL-encoded (%20 for spaces).
  • <StrandNumber>: 1 (STRAND_POSITIVE), 2 (STRAND_NEGATIVE), 3 (STRAND_UNSTRANDED).
  • <ScorerShortName>: RNA_SEQ, CHIP_TF, DNASE, ATAC, CAGE, PROCAP, CHIP_HISTONE.
  • HEATMAP_TILESET_SOURCE_ACTIVE_ISM_SCORES: Required source identifier for Active-ISM motif layers.
  • <TilesetId>: Server-assigned tileset identifier (17354278441953531756 for current production).
Show full SKILL.md (386 more words)Show less
Recipe for Automatic Motif Display on Load
  1. Append pinned:<PinnedKey> entries to lItems for the specific target tracks only.
  2. Set viewport interval i to base-pair resolution ($\le 1\text{ bp/px}$, window $\le 380\text{ bp}$).
  3. Configure f with cell line and transcription factors.

5. Track Predictions & Ref vs. Alt Comparisons (/atlas/track-predictions)

The dedicated /atlas/track-predictions page compares predicted functional profiles between the Reference and Alternate alleles for selected scores across genomic windows:

  • Route: https://deepmind.google.com/science/alphagenome/atlas/track-predictions
  • Visualizations: Expanded line plots (expression, chromatin accessibility, TF binding) and Sashimi arc charts (splice junctions).

Always construct track prediction URLs using scripts/alphagenome_atlas_links.py track-predictions. Manual ScoreId string formatting is error-prone due to donor/acceptor skipping coordinates, strand orientation (+/-), and genic vs. non-genic suffix rules. The script automatically handles coordinate extraction from GENCODE v46, track catalog resolution, and URL synthesis.

bash
# Variant & Gene:
uv run scripts/alphagenome_atlas_links.py track-predictions \
  --variant "chr15:42387805:C>G" \
  --gene CAPN3 \
  --biosample "Muscle_Skeletal" \
  --modalities SPLICE_JUNCTIONS,RNA_SEQ,DNASE,CHIP_TF \
  --tf CTCF

# Interval/Locus query:
uv run scripts/alphagenome_atlas_links.py track-predictions \
  --variant "chr15:42387805:C>G" \
  --interval "chr15:41869312-42917888" \
  --biosample "Muscle_Skeletal" \
  --modalities SPLICE_JUNCTIONS,RNA_SEQ,DNASE,CHIP_TF
Supported CLI Options for track-predictions
  • --variant, -v (string, default: None): Variant string in chr:pos_1_based:ref>alt format.
  • --gene, -g (string, default: None): Target gene symbol (bounds i= viewport and computes splice junctions).
  • --gene_id (string, default: None): Target Ensembl gene ID (e.g. ENSG00000092529.26).
  • --interval, -i (string, default: None): Genomic interval viewport in chr:start-end format.
  • --biosample, -b (string, default: Muscle_Skeletal): Target biosample or tissue query (e.g. Muscle_Skeletal, K562, Whole_Blood).
  • --modalities, -m (string, default: SPLICE_JUNCTIONS,RNA_SEQ,DNASE,CHIP_TF): Comma-separated list of modalities (SPLICE_JUNCTIONS, RNA_SEQ, DNASE, ATAC, CHIP_TF).
  • --tf (string, default: CTCF): Transcription factor name for ChIP-TF tracks (e.g. CTCF, GATA1).
  • --rename (string, default: None): Custom track rename overrides in the chart card.
  • --legend_title (string, default: None): Custom legend header for the chart card.
  • --format (enum, default: table): Output format (table, url, json).

[!IMPORTANT] Mandatory Splicing & RNA-seq Co-Plotting Rule: When generating /atlas/track-predictions deep-links, plotting, or visualizing variant impact data for splicing variants, always plot continuous RNA-seq expression alongside splicing tracks (SPLICE_JUNCTIONS, SPLICE_SITE_USAGE, SPLICE_SITES). Splicing mutations frequently activate cryptic splice junctions and trigger nonsense-mediated decay (NMD) or alter total transcript output; assessing splice junctions (sashimi arcs) together with continuous RNA-seq read coverage is required to observe both the structural splice defect and the resulting change in overall transcript abundance.

[!IMPORTANT] Always Provide Bounded i= in Track Prediction URLs: Omitting scores= or leaving the genomic interval (i=) unbounded causes the web application to attempt querying all matching tracks across the broader locus, leading to severe latency or page hanging. alphagenome_atlas_links.py track-predictions automatically bounds i= to the target gene or requested interval.

© google-deepmind, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (scripts) in skills/alphagenome_atlas_website_links of google-deepmind/science-skills.

  • SKILL.md
  • pyproject.toml
  • scripts/alphagenome_atlas_links.py

Open the folder on GitHubat commit 8ab7672

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Questions about Alphagenome Atlas Website Links

What does Alphagenome Atlas Website Links do?

Constructs deep-links and URLs for the AlphaGenome Atlas website. Alphagenome Atlas Website Links is an agent skill from google-deepmind/science-skills. Constructs deep-links and URLs for the AlphaGenome Atlas website.

When should I use Alphagenome Atlas Website Links?

Alphagenome Atlas Website Links fits situations like: linking genetic variants and genomic loci on the AlphaGenome Atlas; asked to inspect; link predictions for a genomic variant.

How do I install Alphagenome Atlas Website Links in Claude Code?

Run `npx skills add google-deepmind/science-skills --skill alphagenome-atlas-website-links -a claude-code`. Or copy the skill folder (skills/alphagenome_atlas_website_links in google-deepmind/science-skills) into .claude/skills/alphagenome-atlas-website-links in your project. Claude Code loads it when a task matches its description.

How do I install Alphagenome Atlas Website Links in Codex?

Run `npx skills add google-deepmind/science-skills --skill alphagenome-atlas-website-links -a codex`. Or copy the skill folder (skills/alphagenome_atlas_website_links in google-deepmind/science-skills) into .agents/skills/alphagenome-atlas-website-links in your project. Codex loads it when a task matches its description.

Can I use Alphagenome Atlas Website Links in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add google-deepmind/science-skills --skill alphagenome-atlas-website-links -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/alphagenome-atlas-website-links, .gemini/skills/alphagenome-atlas-website-links, .github/skills/alphagenome-atlas-website-links and .opencode/skills/alphagenome-atlas-website-links in your project.

What does Alphagenome Atlas Website Links need to run?

Going by SKILL.md and its folder, Alphagenome Atlas Website Links needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3.

Does Alphagenome Atlas Website Links access the network?

SKILL.md names 1 domain. In commands or code: deepmind.google.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Alphagenome Atlas Website Links safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Alphagenome Atlas Website Links use?

Alphagenome Atlas Website Links is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Alphagenome Atlas Website Links use?

About 2.9k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Alphagenome Atlas Website Links?

Skills that share tags, products or a category with Alphagenome Atlas Website Links: 13C Metabolic Flux Analysis (K-Dense-AI/scientific-agent-skills, 48k stars), Metabolic Study Planner (aiming-lab/AutoResearchClaw, 15k stars), MFA Pipeline Orchestrator (aiming-lab/AutoResearchClaw, 15k stars) and Singlecell Qc (xuzhougeng/wisp-science, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Alphagenome Atlas Website Links?

google-deepmind (a GitHub organization) maintains it in google-deepmind/science-skills, which has 3,233 GitHub stars. The repository holds 40 skills in this directory. The repository was last updated on October 9, 2026.

Source: google-deepmind/science-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.