Data & Analytics

Find 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...

This skill helps you track, analyze, and report on keyword ranking positions over time. It monitors both traditional SERP rankings and AI/GEO visibility to provide comprehensive search performance insights.

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scien...

Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box mo...

Digital pathology image processing toolkit for whole slide images (WSI). Use this skill when working with histopathology slides, processing H&E or IHC stained tissue images, extracting tiles from gigapixel pathology images, detecting tissue regions, segmenting tissue masks, or preparing datasets for computational pathology deep learning pipelines. Applies to WSI formats (SVS, TIFF, NDPI), tile-based analysis, and histological image preprocessing workflows.

Digital pathology image processing toolkit for whole slide images (WSI). Use this skill when working with histopathology slides, processing H&E or IHC stained tissue images, extracting tiles from gigapixel pathology images, detecting tissue regions, segmenting tissue masks, or preparing datasets for computational pathology deep learning pipelines. Applies to WSI formats (SVS, TIFF, NDPI), tile-based analysis, and histological image preprocessing workflows.

Digital pathology image processing toolkit for whole slide images (WSI). Use this skill when working with histopathology slides, processing H&E or IHC stained tissue images, extracting tiles from gigapixel pathology images, detecting tissue regions, segmenting tissue masks, or preparing datasets for computational pathology deep learning pipelines. Applies to WSI formats (SVS, TIFF, NDPI), tile-based analysis, and histological image preprocessing workflows.

The Supreme Strategic Leader and Mentor—an AI of unmatched IQ, profound wisdom, and unbeatable logic.

Automatically converts Python code to optimized Go code for performance-critical applications.

Analyzes and visualizes communication patterns between OpenClaw agents to identify bottlenecks and suggest optimization strategies.

Query your Shopify store's sales, profitability, customers, and marketing data through Ned's API. Use when asked about profit, revenue, sales, orders, products, customers, churn, ad spend, ROAS, MER, margins, or any ecommerce analytics question. Also use for 'what's my profit today', 'top products', 'customer segments', 'ad performance', or 'how is my store doing'. Requires a NED_API_KEY.

Instagram platform integration. Post content, manage stories, view insights, and engage with followers.

Expert data scientist for advanced analytics, machine learning, and

A comprehensive Instagram profile and post analysis tool with

Expert data scientist for advanced analytics, machine learning, and

Expert data scientist for advanced analytics, machine learning, and

Expert data scientist for advanced analytics, machine learning, and

Expert data scientist for advanced analytics, machine learning, and

Expert data scientist for advanced analytics, machine learning, and

Expert data scientist for advanced analytics, machine learning, and

Real-time INCLAWNCH token analytics on Base. Price, volume, liquidity, staking TVL, UBI APY, distribution rates, and platform metrics in a single API call. No API key needed. Use when: (1) user asks about INCLAWNCH price or market data, (2) checking UBI staking yields, (3) monitoring ecosystem health, (4) building dashboards or alerts.

Extract structured data from IFC (Industry Foundation Classes) files using IfcOpenShell. Parse BIM models, extract quantities, properties, spatial relationships, and export to various formats.