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General-purpose skills for data analysis infrastructure: workspace file organization, environment management, parallel computing, and performance.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
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.
Skills for single-cell and spatial omics data analysis. Best practices, code snippets, and workflows for the scverse ecosystem.
Aesthetic guidelines and output-type recipes for scientific figure production. Supports lightweight default-agent use through SKILL.md + one outputType recipe, with optional venue-specific style guides when requested.
Query the Virtual Embryo knowledge graph (mouse/human developmental biology: genes, anatomy, Theiler/Carnegie stages, gene expression, diseases, papers) and its 3D atlas catalog (anatomical OPT/light-sheet volumes + 3D spatial- transcriptomics datasets), and visualise those datasets in 3D with the volume3d / spatial3d live-view viewers. Public read-only HTTP API at https://kg.virtualembryo.ai — no auth, no key needed for reads. Use when the user asks about mouse/human embryo development, where a gene is expressed, an anatomical structure, a developmental stage, or wants to see/visualise the Virtual Embryo atlas or spatial-transcriptomics data.
Skills for rare disease case support: ontology-first normalization/retrieval and the clinical genetics consult report format contract (structure + theme). Load the relevant skill file when performing the matching task.
Scenario router for paper-writing tasks. Use after root triage to select paper submission, journal article, conference paper, grant proposal, lab report, group report, talk/workshop, or revision-response behavior.
| id | general_data_analysis_index |
| name | General Data Analysis Skills Index |
| description | General-purpose skills for data analysis infrastructure: workspace file organization, environment management, parallel computing, and performance. |
| tags | ["organization","workspace","environment","parallel","performance","conda","gpu"] |
Cross-cutting skills for workspace hygiene, environment setup, and computational performance.
Give every analysis task its own descriptively-named folder (notebook, figures, data, reports inside it) — never scatter files at the workspace root or dump figures into internal dirs.
Skill file: file_organization.md
Detect and configure the best available environment manager (Conda/Mamba/venv) for reproducible Python environments.
Skill file: environment_management.md
Multi-core CPU, GPU acceleration, and memory optimization strategies for large-scale data analysis.
Skill file: parallel_computing.md
