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Data & Analytics
Data analysis, BI, visualization, datasets, statistics, and ML workflows
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Showing 11,017–11,040 of 12,850 skills
- Data Scientist V2data-scientist workflow skill. Use this skill when the user needs Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.Votes: 0GitHub stars: 135
- Relational Filter> "Is this something one expects someone who cares about them to do?" **Version**: 1.0.0 **Trit**: -1 (Validator — checks actions against relational norms) **Bundle**: verify **Source**: Miller, R.S. *Intimate Relationships*, 9th ed. (McGraw-Hill, 2021)Votes: 0GitHub stars: 61
- Quarto JuliaQuarto + Julia SkillVotes: 0GitHub stars: 61
- Performing Steganography DetectionDetect and extract hidden data embedded in images, audio, and other media files using steganalysis tools to uncover covert communication channels.Votes: 0GitHub stars: 61
- Performing Network Traffic Analysis With TsharkAutomate network traffic analysis using tshark and pyshark for protocol statistics, suspicious flow detection, DNS anomaly identification, and IOC extraction from PCAP filesVotes: 0GitHub stars: 61
- Nix Acset WorldingModel Nix store as Attributed C-Set for dependency verification, GC analysis,Votes: 0GitHub stars: 61
- Detect Anomalies AiopsImplement AI-powered anomaly detection for operational metrics using time series analysis (Isolation Forest, Prophet, LSTM), alert correlation, and root cause analysis. Reduce alert fatigue by intelligently identifying true anomalies in system metrics, logs, and traces. Use when operations teams are overwhelmed by alert volume, when detecting complex multi-metric anomalies beyond static thresholds, when seasonal patterns make thresholds ineffective, or when needing to predict issues proactive...Votes: 0GitHub stars: 31
- Bio Ribo Seq Orf DetectionDetect and quantify translated ORFs from Ribo-seq data including uORFs and novel ORFs using RiboCode and ORFquant. Use when identifying translated regions beyond annotated coding sequences or quantifying ORF-level translation.Votes: 0GitHub stars: 2,984
- Bio Reporting Rmarkdown Reports--> --- name: bio-reporting-rmarkdown-reports description: Create reproducible bioinformatics analysis reports with R Markdown including code, results, and visualizations in HTML, PDF, or Word format. Use when generating analysis reports with RMarkdown. tool_type: r primary_tool: rmarkdown measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---Votes: 0GitHub stars: 2,984
- Bio Reporting Quarto Reports--> --- name: bio-reporting-quarto-reports description: Build reproducible scientific documents, presentations, and websites with Quarto supporting R, Python, Julia, and Observable JS. Use when creating reproducible reports with Quarto. tool_type: mixed primary_tool: Quarto measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---Votes: 0GitHub stars: 2,984
- Bio Reporting Jupyter Reports--> --- name: bio-reporting-jupyter-reports description: Creates reproducible Jupyter notebooks for bioinformatics analysis with parameterization using papermill. Use when generating automated analysis reports, running notebook-based pipelines, or creating shareable computational notebooks. tool_type: python primary_tool: papermill measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---Votes: 0GitHub stars: 2,984
- Bio Read Qc Contamination ScreeningDetect sample contamination and cross-species reads using FastQ Screen. Screen reads against multiple reference genomes to identify bacterial, viral, adapter, or sample swap contamination. Use when suspecting cross-contamination or working with samples prone to microbial contamination.Votes: 0GitHub stars: 2,984
- Bio Proteomics Dia AnalysisData-independent acquisition (DIA) proteomics analysis with DIA-NN and other tools. Use when analyzing DIA mass spectrometry data with library-free or library-based workflows for deep proteome profiling.Votes: 0GitHub stars: 2,984
- Bio Population Genetics Linkage Disequilibrium--> --- name: bio-population-genetics-linkage-disequilibrium description: Calculate linkage disequilibrium statistics (r², D'), perform LD pruning for population structure analysis, identify haplotype blocks, and visualize LD patterns using PLINK, scikit-allel, and LDBlockShow. Use when calculating LD or pruning variants. tool_type: mixed primary_tool: plink2 measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_com...Votes: 0GitHub stars: 2,984
- Bio Phasing Imputation Imputation Qc--> --- name: bio-phasing-imputation-imputation-qc description: Quality control of phasing and imputation results. Filter by INFO scores, assess accuracy, and prepare imputed data for downstream analysis. Use when filtering low-quality imputed variants or validating imputation accuracy before GWAS. tool_type: mixed primary_tool: bcftools measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---Votes: 0GitHub stars: 2,984
- Bio Microbiome Diversity AnalysisAlpha and beta diversity analysis for microbiome data. Calculate within-sample richness, evenness, and between-sample dissimilarity with phyloseq and vegan. Use when comparing community composition across samples or testing for group differences in microbiome structure.Votes: 0GitHub stars: 2,984
- Bio Microbiome Differential AbundanceDifferential abundance testing for microbiome data using compositionally-aware methods like ALDEx2, ANCOM-BC2, and MaAsLin2. Use when identifying taxa that differ between experimental groups while accounting for the compositional nature of microbiome data.Votes: 0GitHub stars: 2,984
- Bio Methylation MethylkitDNA methylation analysis with methylKit in R. Import Bismark coverage files, filter by coverage, normalize samples, and perform statistical comparisons. Use when analyzing single-base methylation patterns, comparing samples, or preparing data for DMR detection.Votes: 0GitHub stars: 2,984
- Customer Win Back SequencerFor churned accounts, research what has changed since they left — new funding, team growth, competitor dissatisfaction, product updates that address their pain — then assess re-engagement potential and generate a personalized win-back email sequence with timing recommendations. Chains web research and LinkedIn monitoring with email sequence generation.Votes: 0GitHub stars: 3
- Bio Metagenomics MetaphlanMarker gene-based taxonomic profiling using MetaPhlAn 4. Provides accurate species-level relative abundances using clade-specific markers. Use when accurate taxonomic profiling is needed and computational resources are limited, or for comparison with HMP/other MetaPhlAn studies.Votes: 0GitHub stars: 2,984
- Bio Metagenomics AbundanceSpecies abundance estimation using Bracken with Kraken2 output. Redistributes reads from higher taxonomic levels to species for more accurate estimates. Use when accurate species-level abundances are needed from Kraken2 classification output.Votes: 0GitHub stars: 2,984
- Bio Metabolomics Pathway MappingMap metabolites to biological pathways using KEGG, Reactome, and MetaboAnalyst. Perform pathway enrichment and topology analysis. Use when interpreting metabolomics results in the context of biochemical pathways.Votes: 0GitHub stars: 2,984
- Bio Metabolomics Normalization QcQuality control and normalization for metabolomics data. Covers QC-based correction, batch effect removal, and data transformation methods. Use when correcting technical variation in metabolomics data before statistical analysis.Votes: 0GitHub stars: 2,984
- Bio Metabolomics LipidomicsSpecialized lipidomics analysis for lipid identification, quantification, and pathway interpretation. Covers LC-MS lipidomics with LipidSearch, MS-DIAL, and LipidMaps annotation. Use when analyzing lipid classes, chain composition, or lipid-specific pathways.Votes: 0GitHub stars: 2,984