Provide offline ArchR documentation for scATAC-seq analysis workflows.
npx skills add https://github.com/Ketomihine/my_skills --skill archr-local
Please help me install this Agent Skill. Skill: archr-local Source: https://github.com/Ketomihine/my_skills/tree/main Command: npx skills add https://github.com/Ketomihine/my_skills --skill archr-local
This Skill provides comprehensive, offline ArchR documentation for single-cell ATAC-seq analysis, hosted locally to enable quick reference without internet access.
Browse the archr-local/references directory and start with data_preparation.md to learn how ArchR handles input formats and project setup. Then explore dimensionality_reduction.md and clustering.md for common workflows.
High-intent search queries and answers about installing and using this skill.
You can access offline ArchR documentation by browsing the references directory, which provides self-contained chapters on scATAC-seq topics like data preparation, dimensionality reduction, and clustering without requiring internet connectivity.
The offline ArchR references cover data preparation, dimensionality reduction, clustering, motif annotation, enrichment analysis, and multiome workflows, providing practical examples and best practices for scATAC-seq analysis.
Yes, lab teams can use the self-contained documentation chapters, such as data_preparation.md and dimensionality_reduction.md, to train new analysts in scATAC-seq workflows without needing external network connectivity.
Start by reading the data_preparation.md file to understand input formats and project setup, then proceed to dimensionality_reduction.md and clustering.md to learn common scATAC-seq analysis workflows.
Yes, the offline documentation includes reference materials and practical guidance for multiome workflows alongside standard scATAC-seq topics like motif annotation and enrichment analysis.
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