Data & Analytics

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

skills in category: 12,625
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Showing 11,281–11,304 of 12,625 skills

Feedback AnalyzerAA comprehensive customer/employee feedback analysis pipeline. An agent team collaborates to handle data collection, sentiment analysis, topic classification, trend detection, and insight reporting. Use this skill for 'analyze feedback', 'customer review analysis', 'survey results analysis', 'VOC analysis', 'employee satisfaction analysis', 'NPS analysis', 'customer complaint analysis', 'feedback trends', 'sentiment analysis', and similar feedback/review/survey analysis topics. Survey design, ...datagoVotes: 0GitHub stars: 1,256
Audience EngagementAaudience strategy library. audience-analyst and rehearsal-coach agent audience analysis and presentation preparation to do when reference. 'audience analysis', 'presentation ', 'stage annual' request when usage. However, specialistperson scope outside.dataVotes: 0GitHub stars: 1,256
Insurance Emerging ValueAValuation criteria for emerging market insurance stocks. P/B 0.5-1.0x with 30-50% EM discount, combined ratio targets, and China vs India market comparisons.dataapiVotes: 0GitHub stars: 71
Report GeneratorAwork report agent team to datacollection→analysis→visualization→→summaryto Korean creation Full pipeline. 'work report create it', 'monthbetween report writing', 'minutebasis results reporting', 'project report', 'marketanalysis report', ' report', 'KPI report', 'data analysis report', 'results summary reporting' etc. work report writing before skill usage. existing data analysis result case also visualization, , summary degreeKRW. However, actualtime BI dashboard building, data directly annu...dataperformanceVotes: 0GitHub stars: 1,256
Data Flow MapperAA data flow mapping tool that systematically maps personal information processing flows and identifies risk points. The 'pia-assessor' and 'process-architect' agents must utilize this skill's mapping methodology and risk point identification patterns when analyzing data flows and designing protective measures. Use for 'data flow analysis', 'processing activity mapping', 'risk point identification', and similar tasks. Note that legal analysis or consent form drafting is outside the scope of th...datarustgoVotes: 0GitHub stars: 1,256
TrialsimAGenerate realistic clinical trial synthetic data including study definitions, sites, subjects, visits, adverse events, efficacy assessments, and disposition. Use when user requests: clinical trial data, CDISC/SDTM/ADaM datasets, trial cohorts (Phase I/II/III/IV), FDA submission test data, or specific therapeutic areas like oncology or biologics/CGT.datagorailsVotes: 0GitHub stars: 71
Skills DirectorySkills Directory 3 slots · $399/mo · one ad per page · sponsors can never buy grades.See placements
Kpi Benchmark EngineAA specialized skill providing industry-specific benchmark data and KPI selection frameworks for KPI dashboard design. Used by the kpi-designer agent when selecting key metrics and setting benchmarks. Automatically applied in contexts such as 'KPI benchmarks', 'key metric selection', 'performance indicators', 'OKR metrics', 'industry KPIs'. However, actual BI tool (Tableau, Power BI) dashboard implementation and real-time data pipeline construction are outside the scope of this skill.datagoperformanceVotes: 0GitHub stars: 1,256
Project HealthAPortfolio health dashboard and risk matrix analysis. Usage: /project-health <dashboard|risk> [options]dataVotes: 0GitHub stars: 31
Cs Product AnalystAProduct analytics agent for KPI definition, dashboard setup, experiment design, and test result interpretation.databashVotes: 0GitHub stars: 31
Analytics ReporterAdef customer_segmentation_analysis(df): """ Perform RFM analysis and customer segmentation """ current_date = df['date'].max() rfm = df.groupby('customer_id').agg({ 'date': lambda x: (current_date - x.max()).days, # Recency 'order_id': 'count', # Frequency 'revenue': 'sum' # Monetary }).rename(columns={ 'date': 'recency', 'order_id': 'frequency', 'revenue': 'monetary' }) rfm['r_score'] = pd.qcut(rfm['recency'], 5, labels=[5,4,3,...datajavascriptpythonVotes: 0GitHub stars: 110
Physics Rendering ExpertAReal-time rope/cable physics using Position-Based Dynamics (PBD), Verlet integration, and constraint solvers. Expert in quaternion math, Gauss-Seidel/Jacobi solvers, and tangling detection.datagobashVotes: 0GitHub stars: 208
Metal Shader ExpertA20 years Weta/Pixar experience in real-time graphics, Metal shaders, and visual effects. Expert in MSL shaders, PBR rendering, tile-based deferred rendering (TBDR), and GPU debugging. ActivatedatagobashVotes: 0GitHub stars: 208
Event Detection Temporal Intelligence ExpertAExpert in temporal event detection, spatio-temporal clustering (ST-DBSCAN), and photo context understanding. Use for detecting photo events, clustering by time/location, shareability prediction,datapythongoVotes: 0GitHub stars: 208
Cost OptimizerATracks cumulative LLM costs across DAG execution and makes real-time decisions to stay within budget. Downgrades models, skips optional nodes, or stops early when cost exceeds thresholds. UsedatanodeapiVotes: 0GitHub stars: 208
String Database PpiAQuery STRING REST API for PPIs (59M proteins, 20B interactions, 5000+ species). Retrieve networks, run GO/KEGG enrichment, find partners, test PPI significance, visualize networks, analyze homology. For chemical interactions use chembl-database-bioactivity; pathways use kegg-database.datapythongoVotes: 0GitHub stars: 368
Omics Analysis GuideAThree-tiered approach to omics data analysis (transcriptomics, proteomics) covering validated pipelines, standard workflows, and custom methodsdatagoexpressVotes: 0GitHub stars: 368
Muon Multiomics SinglecellAMulti-modal single-cell analysis with muon/MuData. Joint RNA+ATAC (10x Multiome), CITE-seq (RNA+protein), other multi-omics. MuData holds per-modality AnnData with shared obs. WNN joint embedding, per-modality preprocessing, MOFA factor analysis. Use scanpy-scrna-seq for single-modality RNA; use muon when combining 2+ omics from the same cells.datapythongoVotes: 0GitHub stars: 368
Mofaplus Multi OmicsAMulti-Omics Factor Analysis v2 (MOFA+) with mofapy2. Jointly decompose omics layers (scRNA, ATAC, proteomics, methylation) into latent factors capturing major variation. Multi-group designs. AnnData views → MOFA object → train → variance explained → correlate factors with metadata → visualize/cluster → enrich top loadings.datapythongoVotes: 0GitHub stars: 368
Libsbml Network ModelingABuild, read, validate, modify SBML biological network models via the libSBML Python API. SBML Levels 1–3, reactions/kinetic laws, species, rules, FBC extension for flux balance, conversion. Interoperates with COBRApy, Tellurium/RoadRunner, COPASI. Use when programmatically constructing ODE or constraint-based metabolic/signaling models in SBML.datapythongoVotes: 0GitHub stars: 368
Lamindb Data ManagementAOpen-source FAIR biology data framework. Version artifacts (AnnData, DataFrame, Zarr), track lineage, validate via ontologies (Bionty), query datasets. Integrates with Nextflow, Snakemake, W&B, scVI. For scRNA-seq use scanpy; for ontology lookups use bionty.datapythongoVotes: 0GitHub stars: 368
Kegg Pathway AnalysisAGuide to KEGG pathway enrichment for DEG results. Covers ORA vs GSEA, mandatory directionality splitting, KEGG organism codes, API failure handling with offline fallbacks, cross-condition comparisons, and answer-first reporting. Consult when running enrichment with clusterProfiler or gseapy.datapythongoVotes: 0GitHub stars: 368
Cobrapy Metabolic ModelingAConstraint-based (COBRA) analysis of genome-scale metabolic models: FBA, FVA, knockouts, flux sampling, production envelopes, gapfilling, media optimization. Use for strain design, essential gene ID, flux analysis. For kinetic modeling use tellurium; for visualization use Escher.datapythongoVotes: 0GitHub stars: 368
Cellchat Cell CommunicationAInfer and visualize intercellular communication from scRNA-seq with CellChat (R). Build CellChat from Seurat/counts → subset CellChatDB ligand-receptor pairs → over-expressed genes per group → communication probabilities → pathway signaling → network centrality (senders/receivers/influencers) → chord/heatmap/bubble plots → cross-condition compare. Human, mouse. Use liana for pure-Python.datapythonrustVotes: 0GitHub stars: 368
Brenda DatabaseABRENDA Enzyme DB SOAP/REST queries: kinetic parameters (Km, Vmax, kcat, Ki), EC classes, substrate specificity, inhibitors, cofactors, organism data. 80K+ enzymes, 7M+ values. Free academic registration. For metabolic modeling use cobrapy-metabolic-modeling; metabolites use hmdb-database.datapythongoVotes: 0GitHub stars: 368