banksy
BANKSY spatial transcriptomics analysis - comprehensive documentation with notebooks and API
When & Why to Use This Skill
This Claude skill provides a comprehensive toolkit for BANKSY, a specialized method for spatial transcriptomics analysis. It streamlines biological data workflows by offering instant access to official documentation, API references, and implementation notebooks, helping researchers perform advanced spatial clustering and feature engineering with precision.
Use Cases
- Spatial Transcriptomics Analysis: Implementing BANKSY algorithms to identify spatial domains and cell types in complex biological datasets like Visium or Xenium.
- Bioinformatics Pipeline Development: Referencing API documentation and utility functions to integrate BANKSY seamlessly into Python-based data processing workflows.
- Code Debugging and Optimization: Troubleshooting implementation errors and optimizing parameters for spatial feature extraction based on official best practices.
- Academic Documentation Reference: Quickly retrieving core concepts, example notebooks, and technical specifications for spatial omics research papers and projects.
| name | banksy |
|---|---|
| description | BANKSY spatial transcriptomics analysis - comprehensive documentation with notebooks and API |
Banksy Skill
Comprehensive assistance with banksy development, generated from official documentation.
When to Use This Skill
This skill should be triggered when:
- Working with banksy
- Asking about banksy features or APIs
- Implementing banksy solutions
- Debugging banksy code
- Learning banksy best practices
Quick Reference
Common Patterns
Quick reference patterns will be added as you use the skill.
Example Code Patterns
Example 1 (python):
import platform
platform.python_version()
Reference Files
This skill includes comprehensive documentation in references/:
- core.md - Core documentation
- examples.md - Examples documentation
- utilities.md - Utilities documentation
Use view to read specific reference files when detailed information is needed.
Working with This Skill
For Beginners
Start with the getting_started or tutorials reference files for foundational concepts.
For Specific Features
Use the appropriate category reference file (api, guides, etc.) for detailed information.
For Code Examples
The quick reference section above contains common patterns extracted from the official docs.
Resources
references/
Organized documentation extracted from official sources. These files contain:
- Detailed explanations
- Code examples with language annotations
- Links to original documentation
- Table of contents for quick navigation
scripts/
Add helper scripts here for common automation tasks.
assets/
Add templates, boilerplate, or example projects here.
Notes
- This skill was automatically generated from official documentation
- Reference files preserve the structure and examples from source docs
- Code examples include language detection for better syntax highlighting
- Quick reference patterns are extracted from common usage examples in the docs
Updating
To refresh this skill with updated documentation:
- Re-run the scraper with the same configuration
- The skill will be rebuilt with the latest information