Best data and analytics skills, page 21

Quick overview of all scrapers — quality grades, extraction rates, and coverage gaps.

RealEstateWebTools/property_web_scraper

Take (soon-to-sunset) OWID explorers to redirected MDIMs, end to end.

owid/etl

Tell whether TikTok accounts are shadowbanned / throttled, how likely, why, and what to do.

nestyme/awesome-prompts

Interactive development in marimo notebooks with validation loops.

pymc-labs/CausalPy

Pulls free market data from the AKShare Python library: A-share, US and Hong Kong prices, futures, China macro series and forex, with notes on symbol formats and Chinese column names.

HKUDS/Vibe-Trading

Browses prebuilt cross-sectional factor libraries (Kakushadze 101, GTJA 191, Qlib 158, Fama-French and Carhart) and benchmarks whole libraries with IC and IR over a stock universe.

HKUDS/Vibe-Trading

Detects 15 classic candlestick patterns with vectorized pandas code and combines bullish and bearish scores into a long, short or flat trading signal.

HKUDS/Vibe-Trading

Fetches public crypto market data (candles, tickers, order books, trades) from 100+ exchanges through CCXT, and serves as the fallback when OKX is unavailable.

HKUDS/Vibe-Trading

Analyzes crude oil, gold and copper through supply-demand balance, pricing models, inventory cycles and futures structure, and outputs directional signals suitable for backtesting.

HKUDS/Vibe-Trading

Guides writing signal_engine.py for backtests that mix markets such as A-shares, crypto, US equities and forex, with per-market parameters and volatility-adjusted weights.

HKUDS/Vibe-Trading

Evaluates factors across many instruments with IC and IR statistics and quantile backtests, then guides screening and weighting; uses the factor_analysis tool with factor and return CSVs.

HKUDS/Vibe-Trading

Framework for central bank policy, exchange rate forecasting, geopolitical risk and capital flows that produces macro factor signals to guide cross-asset allocation.

HKUDS/Vibe-Trading

Generates trading signals from the Ichimoku five-line system using Tenkan and Kijun crossovers, cloud position and cloud direction, implemented in pandas.

HKUDS/Vibe-Trading

Reads GDP, inflation, PMI, rates and FX data plus central bank policy to place the economy in a cycle stage and derive major asset allocation tilts for China, the US and Europe.

HKUDS/Vibe-Trading

Fetches minute candlesticks from OKX, Tushare or yfinance, computes intraday VWAP, TWAP and volume distribution, and runs minute-level backtests by setting an interval in config.json.

HKUDS/Vibe-Trading

Trains scikit-learn models with walk-forward validation on features from OHLCV data to predict return direction and turn the predictions into trading signals.

HKUDS/Vibe-Trading

Pulls A-share price data from 通达信 (TDX) servers through the mootdx library over TCP, free and without an API key, as a stable fallback when akshare scraping is throttled.

HKUDS/Vibe-Trading

Ranks stocks by standardized factor scores (momentum, reversal, volatility, volume and valuation) and builds an equal-weight TopN portfolio with periodic rebalancing.

HKUDS/Vibe-Trading

Reads public blockchain data (active addresses, whale activity, TVL, DEX liquidity) and valuation metrics such as MVRV, NVT and SOPR to interpret conditions and generate signals.

HKUDS/Vibe-Trading

Guides your agent through unit-root, cointegration, GARCH, bootstrap and regression-diagnostic tests on financial time series, using a tested helper module.

HKUDS/Vibe-Trading

Measures portfolio and backtest risk with VaR, CVaR, maximum drawdown, Monte Carlo simulation, tail modeling and stress tests, using one tested risk module.

HKUDS/Vibe-Trading

Learns profit patterns from your own trade journal, backtests them across A-share, Hong Kong, US and crypto markets, and explains the gap against real results.

HKUDS/Vibe-Trading

Reads crypto market liquidity from stablecoin supply changes, USDT and USDC mint and burn events, exchange reserves and velocity, to time capital rotation.

HKUDS/Vibe-Trading

Answers which trading strategies exist and what state they are in, with per-regime backtest evidence and a freshness report on every row.

HKUDS/Vibe-Trading

Takes a trading idea from request to backtest: pins down instruments and dates, writes config.json and a signal engine, runs the backtest and iterates on the metrics.

HKUDS/Vibe-Trading

Builds a composite trading signal from three groups of classic indicators (trend, mean reversion, volume) voting long, short or flat, in plain pandas for OHLCV data.

HKUDS/Vibe-Trading

Analyzes token vesting and unlock schedules plus project treasury holdings to estimate sell pressure around cliff and linear releases.

HKUDS/Vibe-Trading

Reads a broker export of your trades (CSV or Excel), builds a trading profile and runs four behavior checks: disposition effect, overtrading, chasing and anchoring.

HKUDS/Vibe-Trading

Strategic analyst that maps competitive landscapes, identifies white space opportunities, and provides positioning recommendations.

curiositech/some_claude_skills

Turn a plain-English description ("a node that runs on the kernel and does XGBoost predictions", "a node that trims whitespace", "an ML clustering node") into a correct single-file Flowfile custom…

Edwardvaneechoud/Flowfile

Infers candidate gene regulatory networks from bulk or single-cell expression data using AertsLab Arboreto GRNBoost2 and GENIE3.

K-Dense-AI/scientific-agent-skills

Reads, inspects, and writes Flow Cytometry Standard (FCS) 2.0, 3.0, and 3.1 files with FlowIO.

K-Dense-AI/scientific-agent-skills

Supports geospatial research workflows for remote sensing, vector and raster GIS, spatial statistics, terrain and network analysis, and machine learning for Earth observation.

K-Dense-AI/scientific-agent-skills

Builds and audits reproducible NeuroKit2 research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity.

K-Dense-AI/scientific-agent-skills

Performs Particle Image Velocimetry (PIV) analysis with OpenPIV.

K-Dense-AI/scientific-agent-skills

Explain and audit machine-learning predictions with SHAP. An agent skill from K-Dense-AI/scientific-agent-skills.

K-Dense-AI/scientific-agent-skills

Measure GEO visibility from an approved, file-backed engine observation bundle.

yaojingang/GEOHub

Panel data analysis with Python using linearmodels and pandas.

meleantonio/awesome-econ-ai-stuff

End-to-end Neuropixels extracellular electrophysiology analysis (SpikeGLX/Open Ephys/NWB) including preprocessing, motion correction, Kilosort4 spike sorting, QC metrics, and Allen/IBL-style…

aipoch/medical-research-skills

Validate alignment quality with insert size distribution, proper pairing rates, GC bias, strand balance, and other post-alignment metrics.

GPTomics/bioSkills

Fetch URL → markdown / text / HTML via KeiRouter /v1/web/fetch using Firecrawl / Jina Reader / Tavily Extract / Exa Contents.

mydisha/keirouter

Pull structured B2B company data from Clutch.co with the Clutch.co Agency API Actor (johnvc/clutch-agency-api).

apify/awesome-skills

Conduct exploratory data analysis (EDA) before hypothesis testing.

joshzyj/open-scholar-skill

Design or add Sesori product analytics. An agent skill from sesori-ai/sesori_apps_monorepo.

sesori-ai/sesori_apps_monorepo

Load simulation results and query values at specific points, domain-wide statistics, flood extent, or cross-section profiles.

psu-efd/pyHMT2D

Generate an Abaqus FEA training dataset for surrogate / ML models.

theneoai/awesome-skills

Query the OFR (Office of Financial Research) Hedge Fund Monitor API for hedge fund data including SEC Form PF aggregated statistics, CFTC Traders in Financial Futures, FICC Sponsored Repo volumes…

agent-skills-hub/agent-skills-hub

Compares a vision-language model's yes/no predictions with ground truth and writes the false-positive and false-negative cases to a JSONL file with a summary report.

NVIDIA/skills