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Skills for upstream data processing in single-cell and spatial omics, covering raw data generation, barcode processing, alignment, spatial registration, and technology-specific preprocessing pipelines.
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インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
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npx skills add https://github.com/aristoteleo/PantheonOS --skill upstream-processing-skills-indexコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
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SKILL.md を表示中
Drive the user's Atrium desktop: open files in installed viewer apps (Viv bioimages, Vitessce/Spatial 3D omics, Mol* structures, IGV/Gosling genomics, Volume 3D, Cytoscape, MSA, PhyloTree, RDKit), read and steer ANY window — including ones the user opened — and call app backends.
Skills for opening and driving agent-controllable visualization components in the Pantheon UI sidebar — interactive viewers the agent can open, control, and read back. Viewers: Vitessce (spatial / single- cell omics), Viv (bioimage / microscopy), volume3d (3D image volumes — MIP/ISO), spatial3d (3D spatial transcriptomics), Mol*, IGV, Gosling, Cytoscape, MSA, RDKit, phylotree, plus agent-generated apps.
Panel design for DEVELOPING / dynamic systems (embryonic organs, differentiation, regeneration). The target experiment is usually a LATE / terminal stage, but the biology is a trajectory: terminal cell types are end-products of earlier lineage programs. A panel built from the target stage alone resolves terminal STATES but systematically misses the developmental REGULATORS that produced them. This workflow therefore uses TWO references — the target-stage dataset (cell-state resolution) and an independent EARLIER-stage reference (developmental origin) — combines them under an explicit budget split, and benchmarks on the target stage.
| id | upstream_processing_index |
| name | Upstream Processing Skills Index |
| description | Skills for upstream data processing in single-cell and spatial omics, covering raw data generation, barcode processing, alignment, spatial registration, and technology-specific preprocessing pipelines. |
Skills and workflows for upstream data processing steps that precede standard single-cell analysis (QC, normalization, clustering, etc.). These cover technology-specific pipelines from raw sequencing data to analysis-ready count matrices with spatial coordinates.
Open-ST is an open-source spatial transcriptomics technology that captures transcriptome-wide data at sub-cellular resolution. The computational pipeline covers flow cell barcode preprocessing, transcriptomic alignment via spacemake, image-to-coordinate registration, cell segmentation, and 3D reconstruction.
Skill directory: openst/
When to use:
nf-core is a community-driven collection of 143+ curated Nextflow pipelines for bioinformatics. Skills cover installation, configuration, and pipeline-specific guides for transcriptomics, spatial omics, epigenomics, and variant calling.
Skill directory: nfcore/
When to use: