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  3. ✦Scanpy
⏱ Pasting from scattered docs→Backend — one installTrial and error, again→#data-analysis ready to use

Scanpy

Single-cell RNA-seq analysis. Load .h5ad/10X data, QC, normalization, PCA/UMAP/t-SNE, Leiden clustering, marker genes, cell type annotation, trajectory, for scRNA-seq analysis.

⚙️ Backend✦Premium script✦7 languages

WHAT YOU BECOME

Use Cases

Perfect for these scenarios

✦ 01📊

Real-Time Dashboards

Monitor live data streams with interactive charts for business insights.

✦ 02🌍

Geographic Mapping

Visualize location-based data with choropleth maps for regional trends.

✦ 03🔬

Scientific Research

Plot experimental results with 3D visualizations and statistical graphs.

✦ 04💹

Financial Analysis

Track stock prices and market trends with candlestick and line charts.

MEASURED GAIN

Why Choose This Skill

Proven benefits and measurable impact

50%

Faster Visualization

Create interactive plots in minutes instead of hours with Plotly Express.

3x

Better Insights

Uncover trends easily with zoomable, filterable, and shareable charts.

100%

Code-Free Customization

Adjust colors, axes, and layouts without writing additional code.

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/scanpy/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

#data-analysis#documentation#python

Technical information

Author
K-Dense-AI
Category
Backend
File size
10.85 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
Premium script

Unlock unlimited downloads of all 450+ premium scripts.

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

NEXT SCRIPTS

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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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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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Adaptyv

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Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.

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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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