Skill UI

This comprehensive geospatial science skill covers remote sensing, GIS, spatial analysis, and machine learning for Earth observation. It supports satellite imagery processing, vector and raster data operations, spatial statistics, and point cloud processing. Users can utilize cloud-native workflows and 8 programming languages with 500+ code examples. Ideal for terrain analysis, hydrological modeling, and marine spatial analysis tasks.

Detects host inventory including CPU, memory, disk, and accelerator limits for resource-aware planning. Generates a redacted JSON snapshot without stress tests. Supports Python 3.11+ on Linux, macOS, and Windows. Includes workload planning helpers and conservative capacity estimation.

Generate professional infographics with Nano Banana Pro AI, Gemini quality review, and optional Perplexity research. Supports 10 infographic types, 8 industry styles, colorblind-safe palettes, and smart iterative refinement.

Creates comprehensive technical design documents by mapping requirements to technical components with clear interfaces. Conducts architecture discovery and research, synthesizes design decisions, and includes visual diagrams for complex architectures. Supports new features, extensions, and simple additions with appropriate discovery processes.

This skill generates auditable market research reports and market sizing scenarios. It ensures every claim is traceable to primary sources, separating facts from estimates. Suitable for defining markets, analyzing competitive landscapes, and creating forecast models with sensitivity analysis. It supports Python-based workflows and LaTeX templates for professional documentation.

Matplotlib is a foundational Python library for creating static, animated, and interactive plots with full customization. It supports various plot types like line, scatter, bar, and heatmaps, suitable for scientific and statistical visualizations. Users can customize appearance, create multi-panel figures, and export to PNG, PDF, or SVG. Ideal for publication-quality graphics and integrating with Jupyter notebooks.

Modal is a serverless cloud platform for running Python code on demand, including GPU-accelerated AI/ML workloads. Use for deploying models, serving web APIs, batch processing, and scaling Python applications to cloud containers with automatic scaling from zero to thousands of instances. Supports custom container images, persistent storage, and sub-second cold starts for low-latency inference.

End-to-end analysis toolkit for Neuropixels extracellular recordings using SpikeInterface. Supports loading SpikeGLX/Open Ephys/NWB data, preprocessing, drift correction, spike sorting with Kilosort4 and other algorithms, quality metrics computation, and AI-assisted unit curation for publication-ready neural data analysis.

Securely inspect and automate microscopy data workflows against OMERO.server using omero-py, BlitzGateway, CLI, tables, annotations, ROIs, rendering, and documented APIs. Support scoped inventory, metadata export, and reviewed write operations.

Assists authorized reviewers in preparing evidence-bounded, constructive peer-review drafts and structured manuscript assessments. Supports reporting-guideline selection, claim–evidence checks, methods, statistics, reproducibility, and ethics critique.

This skill enables the construction and analysis of phylogenetic trees using tools like MAFFT for alignment, IQ-TREE 2 for maximum likelihood inference, and FastTree for large datasets. It supports evolutionary analysis, microbial genomics, viral phylodynamics, and molecular clock studies. Visualization is handled via ETE3 or FigTree. Ideal for inferring evolutionary relationships, detecting horizontal gene transfer, and reconstructing ancestral sequences in biological research.

High-performance genomic interval operations and bioinformatics file I/O on Polars DataFrames. Supports overlap, nearest, merge, coverage, complement and subtract for BED/VCF/BAM/GFF files, with streaming and cloud-native access as a faster bioframe alternative.