Category

Data & Analytics

Data analysis, BI, visualization, datasets, statistics, and ML workflows

13,031
skills in category
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Showing 11,40111,424 of 13,031 skills

Bio Variant Calling Joint CallingA

Joint genotype calling across multiple samples using GATK CombineGVCFs and GenotypeGVCFs. Essential for cohort studies, population genetics, and leveraging VQSR. Use when performing joint genotyping across multiple samples.

datagojava
0
2,984
Bio Tcr Bcr Analysis Vdjtools AnalysisA

Calculate immune repertoire diversity metrics, compare samples, and track clonal dynamics using VDJtools. Use when analyzing repertoire diversity, finding shared clonotypes, or comparing immune profiles between conditions.

datapythongo
0
2,984
Bio Splicing PipelineA

--> --- name: bio-splicing-pipeline description: End-to-end alternative splicing analysis from FASTQ to differential splicing results. Aligns with STAR 2-pass mode, performs junction QC, runs rMATS-turbo for differential analysis, and generates sashimi visualizations. Use when performing comprehensive splicing analysis from raw RNA-seq data. tool_type: mixed primary_tool: rMATS-turbo measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - ...

datapythonshell
0
2,984
Bio Spatial Transcriptomics Spatial StatisticsA

Compute spatial statistics for spatial transcriptomics data using Squidpy. Calculate Moran's I, Geary's C, spatial autocorrelation, co-occurrence analysis, and neighborhood enrichment. Use when computing spatial autocorrelation or co-occurrence statistics.

datapythongo
0
2,984
Bio Small Rna Seq Target PredictionA

--> --- name: bio-small-rna-seq-target-prediction description: Predict miRNA target genes using sequence-based algorithms and database lookups. Use when identifying potential mRNA targets of differentially expressed or functionally important miRNAs. tool_type: mixed primary_tool: miRanda measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---

datapythongo
0
2,984
Bio Small Rna Seq Differential MirnaA

--> --- name: bio-small-rna-seq-differential-mirna description: Perform differential expression analysis of miRNAs between conditions using DESeq2 or edgeR with small RNA-specific considerations. Use when identifying miRNAs that change between treatment groups, disease states, or developmental stages. tool_type: r primary_tool: DESeq2 measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---

datashellexpress
0
2,984
Bio Single Cell Metabolite CommunicationA

Analyze metabolite-mediated cell-cell communication using MeboCost for metabolic signaling inference between cell types. Predict metabolite secretion and sensing patterns from scRNA-seq data. Use when studying metabolic crosstalk between cell populations or metabolite-receptor interactions.

datapythongo
0
2,984
Bio Rna Quantification Tximport WorkflowA

--> --- name: bio-rna-quantification-tximport-workflow description: Import transcript-level quantifications from Salmon/kallisto into R for gene-level analysis with DESeq2/edgeR using tximport or tximeta. Use when importing transcript counts into R for DESeq2/edgeR. tool_type: r primary_tool: tximport measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- Import transcript-level estimates from Salmon, kal...

datashellexpress
0
2,984
Bio Rna Quantification Count Matrix QcA

--> --- name: bio-rna-quantification-count-matrix-qc description: Quality control and exploration of RNA-seq count matrices before differential expression. Check for outliers, batch effects, and sample relationships. Use when assessing count matrix quality before DE analysis. tool_type: mixed primary_tool: DESeq2 measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- Quality control and exploratory analys...

datapythonshell
0
2,984
Dynamic UiA

Render tables, charts, stats, cards, and dashboards as images using HTML templates and wkhtmltoimage.

data
0
10
Shadow Ai MonitorA

Shadow AI Monitor - Enterprise-grade dashboard for tracking employee AI tool usage, data exposure risks, and PIPEDA.

data
0
10
Agent DashboardA

Real-time agent dashboard for OpenClaw.

data
0
10
Stock Analysis 6A

Analyze stocks and cryptocurrencies using Yahoo Finance data.

data
0
10
Platform HealthcheckA

Health check dashboard for agent platform APIs.

dataapi
0
10
Review SummarizerA

Scrape, analyze, and summarize product reviews from multiple platforms (Amazon, Google, Yelp, TripAdvisor). Extract key insights, sentiment analysis, pros/cons, and recommendations. Use when researching products for arbitrage, creating affiliate content, or making purchasing decisions.

datapythongo
0
10
Api Key Ui TabA

API Keys management UI tab for OpenClaw dashboard.

dataapi
0
10
Ned AnalyticsA

Query your Shopify store's sales, profitability, customers, and marketing data through Ned's API.

dataapi
0
10
Farmos WeatherA

Query weather data and forecasts for farm fields via the Agronomy module.

data
0
10
Usage ExportA

Export OpenClaw usage data to CSV for analytics tools like Power BI. Hourly aggregates by activity type, model, and channel.

datapythongo
0
10
Guardian CoreA

Local Guardian scanner with bundled signatures and dashboard.

data
0
10
Datafast AnalyticsA

Query DataFast website analytics and visitor data via the DataFast API for metrics, time series, realtime stats.

dataapi
0
10
RouteA

Get detailed routing between two points with distance, duration, and optional turn-by-turn directions. Use when you need navigation instructions or travel time estimates between locations.

datashellbash
0
10
PiltA

Access Pilt fundraising data -- investor matches, campaign stats, outreach events, and deck analysis.

data
0
10
Time Series Forecasting With Mlforecast And PolarsA

Configure and execute a time series forecasting pipeline using Polars for data manipulation and MLForecast with LightGBM for modeling, applying specific lag features, rolling statistics, and evaluation metrics.

datapython
0
438