Agens scanpy

skill_id: scanpy name: scanpy description: Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, and visualization. Best for exploratory scRNA-seq analysis with established workflows. For deep learning models use scvi-tools; for data format questions use anndata. version: 1.0.0 author: K-Dense Inc. license: SD-3-Clause license tags:

• scientific-agent-skills
• scanpy tools: [] permissions: network: false filesystem: false shell: false agents:
• bio_code_agent enabled: true source: scientific-agent-skills entrypoint: entry.py readme: README.md input_schema: {} output_schema: type: object metadata: upstream_repo: K-Dense-AI/scientific-agent-skills upstream_skill: scanpy upstream_path: scientific-skills/scanpy/SKILL.md upstream_frontmatter: name: scanpy description: Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, and visualization. Best for exploratory scRNA-seq analysis with established workflows. For deep learning models use scvi-tools; for data format questions use anndata. license: SD-3-Clause license metadata: skill-author: K-Dense Inc.