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Found 325 Skills
Expert patterns for 3D level design using GridMap with MeshLibrary, CSG constructive solid geometry, WorldEnvironment setup, ProceduralSkyMaterial, and volumetric fog. Use when building 3D levels, modular tilesets, BSP-style geometry, or environmental effects. Trigger keywords: GridMap, MeshLibrary, set_cell_item, get_cell_item, map_to_local, local_to_map, CSGCombiner3D, CSGBox3D, CSGSphere3D, CSGPolygon3D, WorldEnvironment, Environment, Sky, ProceduralSkyMaterial, PanoramaSkyMaterial, fog_enabled, volumetric_fog_enabled.
Expert knowledge for Azure Web PubSub development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using WebSockets/MQTT, Socket.IO, geo-replication, custom domains, or Entra ID/managed identity auth, and other Azure Web PubSub related development tasks. Not for Azure SignalR Service (use azure-signalr-service), Azure Event Hubs (use azure-event-hubs), Azure Service Bus (use azure-service-bus), Azure Relay (use azure-relay).
Expert knowledge for Azure Service Bus development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing queues/topics, sessions and filters, Premium scaling, VNet/Private Link access, or geo-recovery, and other Azure Service Bus related development tasks. Not for Azure Event Hubs (use azure-event-hubs), Azure Queue Storage (use azure-queue-storage), Azure Notification Hubs (use azure-notification-hubs), Azure Relay (use azure-relay).
Implement, review, or improve maps and location features in iOS/macOS apps using MapKit and CoreLocation. Use when working with Map views, annotations, markers, polylines, user location tracking, geocoding, reverse geocoding, search/autocomplete, directions and routes, geofencing, region monitoring, CLLocationUpdate async streams, or location authorization flows. Also use when working with maps, coordinates, addresses, places, directions, distance calculations, or location-based features in Swift apps.
Anymail Finder platform help — email finder and verification tool with 97%+ delivery guarantee. Finds emails by person name, company/domain, decision-maker role, or LinkedIn URL, with bulk search up to 100K rows and a GeoLead Finder. Use when looking up emails by name and company, finding decision-maker emails by role, verifying emails, running bulk email searches, finding emails from LinkedIn URLs, or working with the Anymail Finder API. Do NOT use for cross-platform enrichment strategy (use /sales-enrich), email deliverability strategy (use /sales-deliverability), or prospect list strategy (use /sales-prospect-list).
Guide for writing Netlify Edge Functions. Use when building middleware, geolocation-based logic, request/response manipulation, authentication checks, A/B testing, or any low-latency edge compute. Covers Deno runtime, context.next() middleware pattern, geolocation, and when to choose edge vs serverless.
Use this skill whenever deciding what features to extract from raw marketplace assets — listing photos, owner-entered listing metadata, sitter wizard responses — to power item-to-item (similar listings), user-to-item (homefeed ranking), or user-to-user (mutual-fit matching) recommenders in a two-sided trust marketplace. Covers asset auditing, first-principles feature decomposition from the decision the user is making, vision-feature extraction (CLIP, room-type classification, amenity detection, aesthetic and quality scoring), listing text and metadata encoding (categoricals, multi-hot amenities, H3 geo-hashing, sentence-transformer description embeddings, structured pet triples), sitter wizard design (information-gain ordering, multiple-choice over free text, genuine skippability, hard constraint versus soft preference), derived-composition patterns for i2i / u2i / u2u (precomputed ANN shelves, multi-modal fusion, two-tower affinity, symmetric mutual-fit scoring, interpretable subscores), feature quality governance (single registry, training-serving parity, coverage and drift alarms, PII scrubbing, schema versioning), and incremental value proof (one feature at a time, ablation A/B, kill reviews, exploration slice, permanent feature-free baseline). Trigger even when the user does not explicitly say "feature engineering" but is asking how to get more signal out of listing photos, listing metadata, or the sitter onboarding wizard, or how to improve i2i / u2i / u2u quality without blindly ingesting a new model.
Integrate DFlow Proof — a Solana wallet identity-verification primitive (Stripe Identity under the hood) — for either (a) gating your own app's features behind KYC, or (b) completing the mandatory verification step for Kalshi prediction-market buys on DFlow. Use when the user asks "how do I KYC a wallet?", "check if a wallet is verified", "add KYC to my DeFi app", "handle unverified_wallet_not_allowed / PROOF_NOT_VERIFIED", "redirect to dflow.net/proof", or "gate a feature by jurisdiction or identity". Do NOT use to actually place trades (use `dflow-kalshi-trading`), for geoblocking (separate concern, handled inline in the trading skill), for age gating (Proof doesn't currently verify age), or for spot swaps (no KYC required).
Every Open-Meteo endpoint family in one CLI — forecast, archive, marine, air quality, flood, climate, ensemble, seasonal, geocoding, elevation. Trigger phrases: `what's the weather in`, `forecast for`, `is it going to rain`, `marine forecast`, `air quality in`, `historical weather`, `climate normal`, `use open-meteo`, `run open-meteo`.
Use this skill whenever reverse-engineering a Sketch file (or Figma export with similar shape) into pixel-perfect React + CSS — covers the iteration mental model, tree reconstruction, layout inference algorithms, geometry math, visual-regression diffing, and the style/typography/path conversions that make "improvement without regression" enforceable. Trigger even if the user doesn't explicitly mention "algorithms" but is converting a design source into web code, building a design-to-code pipeline, or struggling to make incremental fidelity improvements without breaking previously-converted output.
SDFormat/SDF model and world generation, validation, and simulator handoff. Use for `.sdf` files, SDFormat XML, Python `gen_sdf()` sources, models, worlds, links, joints, poses, frames, inertials, visual/collision geometry, mesh URIs, sensors, lights, physics, plugins, includes, Gazebo, CAD Explorer static SDF review, or simulator-specific metadata. Do not use for signed-distance-field geometry.
Build 3D objects, props, maps, and environments in Roblox Studio via MCP. CSG patterns, spatial coordination, player scale reference, platform quirks. Use when the AI is placing parts, doing unions/subtracts, or building geometry.