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Found 517 Skills
Use this skill when performing a comprehensive SEO audit - technical audit, on-page audit, content audit, off-page audit, and AEO/GEO readiness assessment. Provides a structured scorecard with 30-40 checks rated PASS/FAIL/WARN across all SEO categories, prioritized recommendations, and links to specialized skills for deep fixes. This is the master audit skill that orchestrates all other SEO skills.
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 Managed Redis development including troubleshooting, best practices, decision making, security, configuration, integrations & coding patterns, and deployment. Use when using Entra auth, geo-replication, persistence, Private Link, or ARM/Bicep deployments for Azure Managed Redis, and other Azure Managed Redis related development tasks. Not for Azure Cache for Redis (use azure-cache-redis), Azure Cosmos DB (use azure-cosmos-db), Azure Table Storage (use azure-table-storage).
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).
MuJoCo MJCF XMLフォーマットリファレンス。geomタイプ、joint、option、asset、動的XML生成パターン。mujoco mjcf xml reference geom joint body
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).
Use this skill when the user asks to "set up parsing", "create parsing rule", "extract fields from logs", "regex extraction", "log parsing", "enrich logs", "add context to logs", "custom enrichment table", "lookup table", "geo enrichment", "create metric from logs", "events to metrics", "convert logs to metrics", "generate metrics from events", "recording rule", "precomputed metrics", "PromQL recording", "configure data pipeline", "transform log data", "data processing rules", "rule group", "enrichment settings", "E2M definition", "labels cardinality", "bulk delete rules", "enrichment limits", "search enrichment table", or wants to configure how Coralogix processes, enriches, or transforms ingested data.
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`.