40건 · 관련도순
Run supported Census Bureau operations through Rube MCP and Composio. The skill covers discovering relevant tools, checking authentication, following current input requirements, and fetching additional result pages when responses include pagination tokens.
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Run supported Census Bureau operations through Rube MCP and Composio. The skill covers discovering relevant tools, checking authentication, following current input requirements, and fetching additional result pages when responses include pagination tokens.
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Query public single-cell and spatial gene expression data by tissue, disease, or cell type. Retrieve selected expression values, cell metadata, and summary counts for analysis and comparisons across datasets without first downloading entire collections.
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Analyze U.S. electoral district plans in R with redistverse. Guides data preparation, simulations under population and geographic constraints, diagnostic checks, and comparisons of district shape, partisan fairness, and administrative splits through maps and summary tables.
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Use when working with Census — census reverse ETL management — monitor syncs, destinations, models, source connections, and sync run health. Use when debugging sync failures, inspecting record delivery, auditing destination mappings, or reviewing sync schedules.
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Treat context switches as the budget line they are — the switch census (how fragmented the week really is), the batching moves that consolidate scattered same-kind work, the calendar defrag that turns Swiss cheese into slabs, and the switch-cost line for saying no. Use when asked my day is fragmented to death, count my context switches, batch my meetings and reviews, or defend against calendar Swiss cheese. Produces the fragmentation census, the batching plan, the defrag moves, and the protective phrases.
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Access and analyze the CZ CELLxGENE Census single-cell data
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Measure process costs and fork budgets when changing startup, per-file, per-test, parallel workers, reporting, or coverage paths; use for fork census and performance comparisons.
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Query CZ CELLxGENE Census (61M+ cells). Filter by cell type/tissue/disease, retrieve expression data, integrate with scanpy/PyTorch, for population-scale single-cell analysis.
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Query CELLxGENE Census (61M+ cells). Search by cell type/tissue/disease/organism; get AnnData, stream out-of-core, train PyTorch models. For your own data use scanpy; for annotated data use anndata.
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Query CZ CELLxGENE Census (61M+ cells). Filter by cell type/tissue/disease, retrieve expression data, integrate with scanpy/PyTorch, for population-scale single-cell analysis.
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Redistricting analysis in R using the redistverse ecosystem. Use whenever the user is working with redist, redistmetrics, ggredist, geomander, adj, alarmdata, PL94171, censable, easycensus, tinytiger, baf, rict, or redistio. Covers the complete pipeline: Census and spatial data loading, adjacency graph construction, SMC/MCMC simulation, constraints (population balance, county splits, VRA compliance), convergence diagnostics, plan metrics (compactness, partisan fairness, splits), visualization, summary tables, and interactive plan drawing. Invoke whenever the user mentions redistricting, gerrymandering, district plans, simulation ensembles, or any redistverse package by name.
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Guide for integrating CellxGene Census single-cell data with ENCODE bulk experiments. Use when users need cell-type-specific expression context for ENCODE regulatory data, want to deconvolve bulk ENCODE signals, or validate regulatory elements at single-cell resolution. Trigger on: CellxGene, single-cell atlas, cell type expression, Census, cell type specificity, single-cell context, scRNA-seq atlas.
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Automate Census Bureau tasks via Rube MCP (Composio). Always search tools first for current schemas.
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Organize single-cell measurements with cell and gene metadata, read and write h5ad or Zarr files, and prepare subsets or combined datasets. Includes guidance on handling large annotated matrices without loading all measurement values into memory.
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Collect and update 68 US economic and social indicators, then summarize trends over ten, five, two, and one years. Produce a report covering relationships between indicators, unusual patterns, and topics that warrant further research.
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Audit PHP and other source code by listing calls to known dangerous functions, checking for enumeration gaps, and examining input paths and safeguards. Store risk assessments and verdicts in a searchable audit ledger.
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Build interactive charts, networks, timelines, and maps with D3.js, Chart.js, or custom SVG graphics. The skill guides data preparation, scale selection, accessible colors, and storytelling so viewers can explore patterns without misleading visual proportions.
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Look up biological evidence about genes, variants, diseases, pathways, and proteins across databases. Map identifiers between sources and organize findings into comparison tables that preserve source names, query terms, access dates, and access limitations.
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Annotate copy number variant segments with overlapping genes, dosage-sensitivity scores, cancer driver databases, population frequencies, and clinical-variant content. Covers bedtools/pybedtools interval intersection, AnnotSV comprehensive annotation and ranking, ClinGen haploinsufficiency/triplosensitivity scoring, gnomAD-SV/DGV frequency filtering, COSMIC Cancer Gene Census, and ClinVar overlap. Use when interpreting which genes a CNV affects, distinguishing the driver gene of a focal event from passengers, filtering against population CNVs, separating whole-gene from partial-gene overlap, or preparing CNVs for clinical classification.
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phyloseq provides a set of classes and tools to facilitate the import, storage, analysis, and graphical display of microbiome census data.
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Access COSMIC cancer mutation database. Query somatic mutations, Cancer Gene Census, mutational signatures, gene fusions, for cancer research and precision oncology. Requires authentication.
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Research population, income, age, housing, and employment around a site. Use for census, demographic, or local-market questions tied to a location.
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NCBI GEO access via GEOparse and E-utilities. Search by keyword/organism/platform, download GSE series matrices, parse GPL annotations, extract GSM metadata, load expression matrices into pandas. For single-cell use cellxgene-census; for multi-DB access use gget-genomic-databases.
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