القائمة
General-purpose skills for data analysis infrastructure: workspace file organization, environment management, parallel computing, and performance.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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
