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  3. ✦Ensembl Database
⏱ Pasting from scattered docs→Backend — one installTrial and error, again→#api ready to use

Ensembl Database

Query Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research.

⚙️ Backend✦Premium script✦7 languages

WHAT YOU BECOME

Use Cases

Perfect for these scenarios

✦ 01🔒

Verify Email Security

Check if email addresses have appeared in known data breaches.

✦ 02🔑

Password Compromise Check

Identify if passwords have been exposed in previous breaches.

✦ 03📊

Employee Account Audit

Review company email accounts for breach exposure before onboarding.

✦ 04🛡️

Personal Security Scan

Quickly assess your own accounts for compromise risks.

MEASURED GAIN

Why Choose This Skill

Proven benefits and measurable impact

5x

Faster Risk Detection

Identify breach exposure 5x faster than manual checks.

80%

Reduce Fraud Risk

Lower account takeover risk by proactively checking breaches.

30min

Save Audit Time

Cut breach audit time by 30 minutes per account.

WHAT YOU GET

What’s Inside

Files, tags and the three-step install

Download or copy the skill file from the source repository.
Put the skill file into Claude's skills directory — ~/.claude/skills/
Restart Claude or run the reload command, and the skill loads automatically.
$ cp K-Dense-AI__claude-scientific-skills/scientific-skills/ensembl-database/Skill.md ~/.claude/skills/

Tip: Read the documentation and the code before first use, so you know what it does and which permissions it needs.

Related tags

#api#database#documentation#git#python

Technical information

Author
K-Dense-AI
Category
Backend
File size
8.01 KB
Source repository
K-Dense-AI__claude-scientific-skills
License
MIT
Metadata
Includes YAML metadata
View GitHub source

TAKE IT WITH YOU

$9.9/month
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All skills come from the open-source community; original authors keep their rights.

NEXT SCRIPTS

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Alphafold Database

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Access AlphaFold's 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.

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Aeon

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This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

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Agents

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Generate and maintain AGENTS.md files following the public agents.md convention. Use when creating documentation for AI agent workflows, onboarding guides, or when standardizing agent interaction patterns across projects.

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Anndata

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This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq data, or integration with scanpy/scverse tools.

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