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Data & Analytics
Data analysis, BI, visualization, datasets, statistics, and ML workflows
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Showing 11,833–11,856 of 12,625 skills
- Excel Report GeneratorAutomatically generate Excel reports from data sources including CSV, databases, or Python data structures. Supports data analysis reports, business reports, data export, and template-based report generation using pandas and openpyxl. Activate when users mention Excel, spreadsheet, report generation, data export, or business reporting.Votes: 0GitHub stars: 277
- Youtube Own Channel AnalyzerComprehensive YouTube channel analysis using YouTube Data API v3. Analyze your own channel's performance metrics, content strategy, upload patterns, engagement rates, video performance, and growth trends. Use when users want to (1) Analyze their YouTube channel performance, (2) Get insights on video engagement and metrics, (3) Understand upload patterns and optimal posting times, (4) Identify top-performing content types, (5) Generate channel health reports, (6) Track subscriber and view grow...Votes: 0GitHub stars: 3
- Youtube Competitor AnalyzerFind and analyze YouTube competitor channels using YouTube Data API v3. Discover competitors through keyword search, category matching, content similarity, and related channel discovery. Compare metrics, content strategies, and market positioning. Use when users want to (1) Find competitors for their YouTube channel, (2) Analyze competitor performance metrics, (3) Compare their channel against competitors, (4) Identify content gaps and opportunities, (5) Benchmark against similar creators, (6...Votes: 1GitHub stars: 3
- Measure Experiment ResultsAn experiment results document captures what happened when you tested a hypothesis, including statistical outcomes, segment analysis, learnings, and clear recommendations. Good results documentation turns individual experiments into organizational knowledge that improves future decision-making.Votes: 0GitHub stars: 683
- Measure Dashboard RequirementsA dashboard requirements document specifies what questions a dashboard should answer, what metrics it displays, and how data should be visualized. Clear requirements help data teams build dashboards that actually inform decisions rather than just displaying numbers.Votes: 0GitHub stars: 683
- Edn AnalyzerDeep EDN template analyzer for Logseq database graphs. Analyzes template structure, counts classes/properties, finds orphaned items, checks quality, and compares variants. Use when analyzing template files, finding issues, or comparing different template versions.Votes: 0GitHub stars: 416
- Extract From PdfsThis skill should be used when extracting structured data from scientific PDFs for systematic reviews, meta-analyses, or database creation. Use when working with collections of research papers that need to be converted into analyzable datasets with validation metrics.Votes: 0GitHub stars: 416
- Data OrchestratorCoordinates data pipeline tasks (ETL, analytics, feature engineering). Use when implementing data ingestion, transformations, quality checks, or analytics. Applies data-quality-standard.md (95% minimum).Votes: 0GitHub stars: 416
- Loop CallingDetect chromatin loops and point interactions from Hi-C data using cooltools, chromosight, and HiCCUPS-like methods. Identify CTCF-mediated loops and enhancer-promoter contacts. Use when detecting chromatin loops from Hi-C data.Votes: 0GitHub stars: 666
- Log AnalyticsGenerate and execute Python code to analyze large log datasets, detect patterns, and extract actionable insightsVotes: 0GitHub stars: 666
- LocationCurrent location context with nearby places and pattern insights. Use when checking where you are, understanding local context, finding nearby places, or getting location-aware information. Trigger words: location, where, nearby, place, context, here.Votes: 0GitHub stars: 666
- Loading DatasetsLoads internal CausalPy example datasets. Use when the user needs example data or asks about available demos.Votes: 0GitHub stars: 666
- Load DataUltra-fast data discovery and loading skill for industrial finance datasets. Handles CSV, JSON, DuckDB, Parquet, and Feather with memory-efficient 2-step discovery and loading.Votes: 0GitHub stars: 666
- Load Anomaly GuardDetects unsafe training load spikes (>20-30% week-over-week) and emits safety flags. Use in nightly background jobs or when reviewing weekly training volume with conservative adjustment recommendations.Votes: 0GitHub stars: 666
- Lendo ArquivosLe arquivos Excel (.xlsx, .xls) e CSV enviados pelo usuario. Use quando o usuario anexar um arquivo e pedir para analisar, importar ou processar os dados. Retorna o conteudo como JSON para analise.Votes: 0GitHub stars: 666
- Learning Learner AnalyticsAnalyzes learner behavior, progress, and outcomes to generate actionable insights.Votes: 0GitHub stars: 666
- Learning Kirkpatrick Evaluationkirkpatrick-evaluation for measuring learning effectiveness and business impact.Votes: 0GitHub stars: 666
- Learning Graph GeneratorGenerates a comprehensive learning graph from a course description, including 200 concepts with dependencies, taxonomy categorization, and quality validation reports. Use this when the user wants to create a structured knowledge graph for educational content.Votes: 0GitHub stars: 666
- Learning Dashboard Builderdashboard-builder for measuring learning effectiveness and business impact.Votes: 0GitHub stars: 666
- Lead ScoringImplement and manage lead scoring systems. Use when working with lead qualification, conversion tracking, or lead funnel optimization. Triggers on "lead", "scoring", "conversion", "funnel", "qualification".Votes: 0GitHub stars: 666
- Latent LatencyLatent-Latency SkillVotes: 0GitHub stars: 666
- Knack Filter SortDynamic filtering, sorting, and query optimization for HTI dashboards and compliance reports. Reduces API payload size and improves dashboard perfo...Votes: 0GitHub stars: 666
- Knack Dashboard AiGenerates insight layers and visual summaries from HTI operational data. Transforms raw Knack records into actionable intelligence for stakeholders...Votes: 0GitHub stars: 666
- Ml System DesignEnd-to-end ML system design for production. Use when designing ML pipelines, feature stores, model training infrastructure, or serving systems. Covers the complete lifecycle from data ingestion to model deployment and monitoring.Votes: 0GitHub stars: 13