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Use AI skills for bioinformatics, omics analysis, and drug discovery workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "SciAgent-Skills" yet — see the docs or source repo.
Design a complete analysis workflow for a human tumor RNA-seq project, including raw data QC, alignment, quantification, differential expression, pathway enrichment, and visualization. Explain inputs and outputs for each step.
A structured RNA-seq analysis plan with steps, common tools, and expected outputs.
I have single-cell RNA-seq clustering results and marker gene lists. Help identify cell types for each cluster, point out possible batch effects, and suggest next analysis steps.
Cell type annotation suggestions, potential issue diagnosis, and recommended next analyses.
Break down a small-molecule drug discovery project for a cancer target into actionable tasks, covering target validation, candidate screening, activity evaluation, ADMET analysis, and reporting.
A phased drug discovery task list with goals, data needs, and deliverables for each stage.
Access biomedical AI skills for omics analysis, clinical AI, and protein design.
Use LLM agents for literature search, experiment planning, and scientific writing.
Open-source AI-for-Science skills for research, experiments, and paper writing.
Access and extend reusable AI skills for scientific research workflows.
Retrieve biotech intelligence on drugs, targets, diagnostics, and probability estimates.
Supports medical research with protocol design, analysis, evidence insights, and writing.