Loading...
Loading...
Found 336 Skills
Use for Core Location troubleshooting - no location updates, background location broken, authorization denied, geofence not triggering
Use CloudBase document database WeChat MiniProgram SDK to query, create, update, and delete data. Supports complex queries, pagination, aggregation, and geolocation queries.
Analyzes competitor SEO and GEO strategies including their ranking keywords, content approaches, backlink profiles, and AI citation patterns. Reveals opportunities to outperform competition.
Use for Core Location API reference - CLLocationUpdate, CLMonitor, CLServiceSession, authorization, background location, geofencing
Identifies and updates outdated content to restore and improve search rankings. Analyzes content freshness, adds new information, updates statistics, and optimizes for current SEO and GEO best practices.
Use this skill when optimizing websites for multiple countries or languages - hreflang tag implementation, URL structure strategy (ccTLD vs subdomain vs subdirectory), geo-targeting in Google Search Console, multilingual content strategy, and international site architecture. Triggers on multi-language sites, multi-region targeting, hreflang debugging, or expanding a site to new markets.
Use CloudBase document database Web SDK to query, create, update, and delete data. Supports complex queries, pagination, aggregation, and geolocation queries.
Use for web apps that need Leaflet-first GIS mapping, location selection, map-driven UIs, or geofencing validation. Covers Leaflet setup, optional tile providers, data storage, and backend validation patterns.
Builds Geographically Weighted Regression (GWR) workflows in CARTO. Triggers when the user mentions GWR, geographically weighted regression, spatially varying relationships, local regression, local coefficients, spatial regression, "what drives X in different areas", "why do prices vary spatially", "local factors affecting Y", varying coefficients, coefficient maps, spatial non-stationarity, or wants to model how the relationship between a dependent variable and predictors changes across geography. Produces per-cell regression coefficients that reveal how predictor importance shifts from place to place.
Guide for building Graph Neural Networks with PyTorch Geometric (PyG). Use this skill whenever the user asks about graph neural networks, GNNs, node classification, link prediction, graph classification, message passing networks, heterogeneous graphs, neighbor sampling, or any task involving torch_geometric / PyG. Also trigger when you see imports from torch_geometric, or the user mentions graph convolutions (GCN, GAT, GraphSAGE, GIN), graph data structures, or working with relational/network data. Even if the user just says 'graph learning' or 'geometric deep learning', use this skill.
Auto-generate a professional, client-ready GEO service proposal from audit data. Creates a full proposal in markdown and PDF including executive summary, findings, recommended service packages (Basic/Standard/Premium), pricing, timeline, and terms. Use when user says "proposal", "proposta", "offerta", "preventivo", "generate proposal", or after completing a GEO audit for a prospect.
Sets up and manages alerts for critical SEO and GEO metrics including ranking drops, traffic changes, technical issues, and competitor movements. Enables proactive monitoring and quick response to issues.