LiveView Skills Index

LiveView — Agent-Controllable UI Components

A LiveView is an interactive component the agent opens in the Pantheon UI's right sidebar, then drives and observes through the live_view tools. Unlike a static plot image, a LiveView is live: the agent changes its state and the user sees it update; the user interacts with it and the agent reads the result back.

Load the relevant skill file before building a visualization.

Architecture — only the LiveView SDK runtime is built in. Every viewer is a plugin: a folder skills/live_view/<name>/ holding <name>.md (this guide), adapter.js (a setup(lv, root) module), and an optional demo.json. open_live_view either resolves a named viewer plugin (view_type="vitessce") or loads an agent-generated component (view_type="custom" + module_url). Adding a viewer = dropping a new <name>/ folder here; no app code changes.

Available skills

Vitessce — spatial / single-cell / imaging data

Open a Vitessce browser to explore spatial transcriptomics, single-cell, and microscopy-imaging datasets: spatial scatterplots, gene-expression coloring, heatmaps, cell-set selection, image layers.

Skill file: vitessce/vitessce.md

When to use:

• Visualizing spatial transcriptomics (10x Visium, Xenium, MERFISH, …)
• Single-cell data with embeddings (UMAP/t-SNE) the user should explore
• Cell segmentations as interactive objects — click/hover a cell, colour by type or gene. (Just viewing boundaries on an image → use Viv; Vitessce does not render clean boundaries.)
• Spatial omics where cells/sets/embeddings matter, not just the image

Viv — bioimage / microscopy viewer

Open a Viv viewer for high-resolution, multiplexed bioimaging — OME-TIFF and OME-Zarr (OME-NGFF): multichannel fluorescence, microscopy, IF/IMC/ CODEX, whole-slide images. Channel colors, contrast, pan/zoom, overview.

Skill file: viv/viv.md

When to use:

• The data is an image — OME-TIFF / OME-Zarr microscopy
• Multichannel fluorescence the user wants to recolour / adjust
• Cloud-hosted or local bioimages (served via serve_local_data)
• Overlaying a cell segmentation / showing cell boundaries on an image (boundaries as an extra channel — the preferred way to view a mask)

Mol* — 3D molecular structures

Open a Mol* viewer for 3D macromolecular structures — proteins, nucleic acids, complexes — from the RCSB PDB, the AlphaFold DB, or a local .pdb / .cif file. Rotate, zoom, inspect; AlphaFold models colour by pLDDT.

Skill file: molstar/molstar.md

When to use:

• Showing a protein / nucleic-acid 3D structure (experimental or predicted)
• Visualising an AlphaFold prediction
• Any .pdb / .cif structure file (see also the structural_biology skill for obtaining / predicting structures)

IGV — genome browser (tracks on a reference)

Open an IGV.js genome browser to view BAM/CRAM alignments, VCF variants, BED/GFF annotations, bigWig coverage — on a reference genome (hg38, mm10, custom FASTA, …). Pan, zoom, jump to a gene or locus.

Skill file: igv/igv.md

When to use:

• "Look at this region in a genome browser" — RNA-seq pileups, ChIP/ATAC peaks, variant calling, splice junctions, CRISPR-screen hits
• Any BAM/CRAM/VCF/BED/GFF/bigWig on a reference genome
• A gene symbol or coordinate range to display

Gosling — designed genomic figures (Vega-Lite-like grammar)

Open a Gosling.js view for designed genomic visualisations — circular ideograms, multi-track / multi-sample layouts, comparative dual-genome views, custom encodings. Driven by a declarative JSON spec.

Skill file: gosling/gosling.md

When to use:

• Circular chromosome ideograms / circos-style plots
• Designed multi-track or sample-faceted genomic figures
• Comparative dual-genome / synteny visualisations
• Anything that's hard to build with matplotlib but easy with a grammar
• Use IGV instead if the task is to look at a BAM / VCF / BED file at a locus; the two viewers do not overlap.

Cytoscape — biological networks & pathways

Open a Cytoscape.js view for interactive networks — protein-protein interactions, signalling / metabolic / regulatory pathways, ontology graphs. Nodes + edges as JSON, built-in layouts (cose, breadthfirst, circle, dagre, ...), CSS-like stylesheet by selectors.

Skill file: cytoscape/cytoscape.md

When to use:

• PPI networks (STRING, BioGRID, IntAct)
• Signalling / metabolic / regulatory pathways
• Gene-regulatory networks (TF → target)
• Any graph the user benefits from interactively (drag, hover, zoom)

MSA — multiple sequence alignment viewer

Open a multiple-sequence-alignment view (EBI Nightingale's <nightingale-msa>) for protein or DNA alignments. Standard colour schemes (clustal, taylor, hydro, zappo, ...), configurable tile sizes.

Skill file: msa/msa.md

When to use:

• Display a pre-computed alignment from MAFFT / MUSCLE / Clustal / MMseqs2
• Compare orthologs at a functional site / domain
• Pair with phylotree for tree + alignment side-by-side

RDKit — 2D small-molecule depictions

Render 2D depictions of small molecules from SMILES / MOL block using RDKit-JS (WebAssembly build). Complements molstar (3D macromolecules) — RDKit is the canonical 2D view for drugs, metabolites, organics.

Skill file: rdkit/rdkit.md

When to use:

• A SMILES (or list) to view as a 2D structure
• Pull drugs / metabolites from ChEMBL / PubChem / DrugBank → render
• Display the substrate / product of a reaction
• Highlight substructures or specific atoms on a molecule

Phylotree — phylogenetic trees

Open a phylotree.js view for an interactive phylogenetic tree from a Newick string. Linear or radial layout, branch-length-scaled; rerooting, ladderise, clade collapse built in.

Skill file: phylotree/phylotree.md

When to use:

• Show a phylogeny from IQ-TREE / RAxML / FastTree / MrBayes / BEAST
• Inspect / collapse / reroot a clade interactively
• Pair with msa for tree + alignment side-by-side

Generate a custom LiveView app

Write your own interactive component with the LiveView SDK when no existing viewer fits — a bespoke dashboard, custom plot, or tailored data view that the agent can still open, drive, and observe.

Skill file: live-view-app.md

When to use:

• The data / interaction doesn't match a ready-made viewer
• You need a tailored view of analysis output
• You want a custom interactive control surface for the user

The live_view tools

Workflow: open_live_view → verify (live_view_get_state for diagnostics, live_view_screenshot to see it — status: ready does NOT mean it rendered correctly) → drive with live_view_update → live_view_get_state before the next move. Never treat reading back your own live_view_update value as verification.