{"slug":"bioinformatics-singlecell","source_name":"bioinformatics-singlecell","name":"Bioinformatics Singlecell","description":"Advanced single-cell multi-omics analysis including scRNA-seq, scCITE-seq, scATAC-seq, and TARGET-seq. Use when analyzing single-cell data, cell type identification, trajectory analysis, differential expression, UMAP/clustering, integrating protein and RNA modalities (TotalVI), or working with Scanpy, Seurat, scvi-tools. Includes workflows for MPN, hematologic malignancies, megakaryocyte biology.","version":2,"lift":{"pass_rate_delta_pts":33.33,"pass_rate_pct":87.5,"total_cases":24,"passed_cases":21,"tokens_delta_pct":23,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-02T17:30:54.865376+00:00"},"skill_score":0.8597,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":33.33,"with_pass_pct":87.5,"without_pass_pct":54.2,"tokens_delta_pct":23,"turns_delta_pct":0,"total_cases":24,"cases_aggregated":24,"verdict":"mixed","never_hurt":false,"completed_at":"2026-08-02T17:30:54.865376+00:00","run_id":"7e637831-2c7a-4ed7-9a1f-7e7384052cf7","version_number":2,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"Proprietary","install_count":0,"manifest_hash":"1adbf9618cd142639a680da93557170970059dfd659e725fb8b8204c148af24c","raw_url":"https://app.decimal.ai/s/bioinformatics-singlecell/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/bioinformatics-singlecell"}