All categories
Data & Analytics
Data analysis, BI, visualization, datasets, statistics, and ML workflows
- 12,629
- 527
Security grades appear on each card once the skill has been scanned. Newly imported skills may briefly show without a grade until the backfill job runs.
Open in full browserBrowse data & analytics skills
Showing 11,905–11,928 of 12,629 skills
- Funnel MapMap complete funnel from ad to conversion, documenting each step, identifying metrics at each stage, calculating stage-to-stage conversion rates, and highlighting biggest drop-off points. Use for funnel optimization, diagnosing conversion issues, or documenting funnel architecture.Votes: 0GitHub stars: 666
- Functional ProfilingProfile functional potential of metagenomes using HUMAnN3 and similar tools. Use when obtaining pathway abundances, gene family counts, or functional annotations from metagenomic data.Votes: 0GitHub stars: 666
- Fullstory Media EntertainmentIndustry-specific guide for implementing Fullstory in media, entertainment, and streaming applications. Covers subscription funnel optimization, content engagement tracking, video player UX, paywall optimization, and ad-supported vs subscription models. Includes detailed examples for streaming services, news sites, gaming platforms, and content creators.Votes: 0GitHub stars: 666
- Freshness Latency SlosSee the main Data Freshness and Latency skill for comprehensive coverage of freshness monitoring and SLO tracking.Votes: 0GitHub stars: 666
- Freqai IntegrationFreqAI self-adaptive ML retraining framework. Auto-retrains models on fresh data, prevents overfitting, adapts to regime changes. Built on FreqTrade.Votes: 0GitHub stars: 666
- Fraud Investigation Data ConsolidatorInvestigates a suspicious transaction by gathering all related data from a BigQuery analytics dataset, consolidating it into a structured JSON format, and triggering alert workflows.Votes: 0GitHub stars: 666
- Desmos GraphingCreate interactive Desmos graphs in Obsidian using desmos-graph code blocks. Use when visualizing functions, parametric curves, inequalities, or mathematical relationships with customizable styling and settings.Votes: 0GitHub stars: 416
- Wap IngestionIngest data from S3 into bauplan using the Write-Audit-Publish pattern for safe data loading. Use when loading new data from S3, performing safe data ingestion, or when the user mentions WAP, data ingestion, importing parquet/csv/jsonl files, or needs to safely load data with quality checks.Votes: 0GitHub stars: 416
- Creating Bauplan PipelinesCreates bauplan data pipeline projects with SQL and Python models. Use when starting a new pipeline, defining DAG transformations, writing models, or setting up bauplan project structure from scratch.Votes: 0GitHub stars: 416
- Liquidity Depth AnalyzerDEX liquidity analysis and slippage estimation for MEV trading. Use when implementing swaps, route selection, or position sizing. Triggers on: liquidity, slippage, price impact, depth, AMM math, Uniswap, Curve.Votes: 0GitHub stars: 416
- Hft Quant ExpertQuantitative trading expertise for DeFi and crypto derivatives. Use when building trading strategies, signals, risk management. Triggers on signal, backtest, alpha, sharpe, volatility, correlation, position size, risk.Votes: 0GitHub stars: 416
- Financial Time SeriesUse when working with price data, trading signals, or implementing momentum strategies. Covers returns calculation, volatility targeting, momentum factors, MACD indicators, time-series momentum (TSMOM), portfolio construction, futures contracts, and risk-adjusted returns for trend-following strategies.Votes: 0GitHub stars: 666
- Financial Report SearchSearch for financial reports using Exa advanced search. Near-full filter support for finding SEC filings, earnings reports, and financial documents.Votes: 0GitHub stars: 666
- File ProcessingProcess and analyze CSV, JSON, and text files with data transformation, cleaning, analysis, and visualization capabilitiesVotes: 0GitHub stars: 666
- Data ProcessorProcess and transform arrays of data with common operations like filtering, mapping, and aggregationVotes: 0GitHub stars: 416
- Fiftyone Dataset InferenceRun ML model inference (YOLO, YOLOv8, CLIP, SAM, Detectron2, etc.) on FiftyOne datasets. Use when running models, applying detection, classification, segmentation, embeddings, or any model prediction task. Also use for end-to-end workflows that include importing data then running inference.Votes: 0GitHub stars: 666
- Fieldy AnalysisAnalyze Field Labs coaching transcription data, calculate session metrics, and generate daily summaries. Use for processing Fieldy voice transcriptions and creating coaching reports.Votes: 0GitHub stars: 666
- Field Archivist MemoryArchive and retrieve field session data for cross-session memory continuity.Votes: 0GitHub stars: 666
- Ffmpeg Waveforms VisualizationComplete audio visualization system. PROACTIVELY activate for: (1) Animated waveforms (showwaves), (2) Static waveform images (showwavespic), (3) Spectrum analyzers (showspectrum), (4) Frequency bar visualizations (showfreqs), (5) Stereo vectorscope (avectorscope), (6) Musical note display (showcqt), (7) SoundCloud-style waveforms, (8) Music video visualizers, (9) Podcast waveform videos, (10) Combined visualization dashboards. Provides: Filter parameter tables, color scheme options, scale co...Votes: 0GitHub stars: 666
- Ff Statistical MethodsExpert guidance on statistical analysis methodologies and Monte Carlo simulation for fantasy football. Use this skill when selecting regression approaches, designing simulations, performing variance analysis, or conducting hypothesis tests. Covers regression types (OLS, Ridge, Lasso, GAMs), Monte Carlo frameworks, regression-to-mean analysis, and statistical best practices for player performance modeling.Votes: 0GitHub stars: 666
- Ff Ml ModelingExpert guidance on machine learning and feature engineering for fantasy football player projection models. Use this skill when building predictive models, engineering features from player statistics, selecting appropriate ML algorithms, or addressing sports-specific ML challenges. Covers feature engineering patterns, model selection frameworks, validation strategies, and interpretability techniques for fantasy football analytics.Votes: 0GitHub stars: 666
- Ff Dynasty StrategyExpert guidance on dynasty fantasy football strategies, player valuation frameworks, roster construction, trade evaluation, and asset management. Use this skill when analyzing dynasty trades, evaluating player value, designing roster strategies, assessing competitive windows, or answering fantasy football domain questions. Covers VoR/VBD methodologies, aging curves, market inefficiencies, draft pick valuation, and win-now vs rebuild strategies.Votes: 0GitHub stars: 666
- Few Shot Learning FinanceUse when implementing models that learn from minimal data or need to adapt to new market regimes rapidly. Covers episodic learning, context sets, support and query sequences, zero-shot vs few-shot learning, meta-learning for finance, transfer learning across assets and regimes, and quick adaptation to market changes.Votes: 0GitHub stars: 666
- Feature Store BuilderVersion features for offline and online serving.Votes: 0GitHub stars: 666