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init-analysis

Official

Automate initial single-cell data analysis.

Data & Analytics#bioinformatics#data-analysis#single-cell#quality-control#clustering#scrna-seq
AuthorOpenLAIR
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill solves the challenge of performing consistent, automated initial analysis on high-dimensional single-cell data (scRNA-seq, CyTOF, flow cytometry) by delivering a reproducible 7-step pipeline and plain-language reports.

Core Features & Use Cases

  • Automated 7-step pipeline including data loading, QC, normalization, dimensionality reduction, clustering, marker analysis, and report generation.
  • Supports scRNA-seq, CyTOF, flow cytometry, and proteomics data with auto-detection and modular steps for custom workflows.
  • Use cases include quickly generating publish-ready summaries for a new dataset, benchmarking analysis strategies, and producing interpretability-friendly reports for non-bioinformaticians.

Quick Start

Provide your dataset path to start the 7-step automated analysis pipeline.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: init-analysis
Download link: https://github.com/OpenLAIR/dr-claw/archive/main.zip#init-analysis

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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