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Found 472 Skills
Apple Human Interface Guidelines interaction and UX patterns. Use this skill when the user asks about "onboarding flow", "user onboarding", "app launch", "loading state", "drag and drop", "search pattern", "settings design", "notifications", "modality", "multitasking", "feedback pattern", "haptics", "undo redo", "file management", data entry, sharing, collaboration, full screen, audio, video, haptic feedback, ratings, printing, help, or account management in Apple apps. Also use when the user says "how should onboarding work", "my app takes too long to load", "should I use a modal here", "how do I handle errors", "when should I ask for permissions", "how to show progress", or "what's the right way to confirm a delete". Cross-references: hig-foundations for underlying principles, hig-platforms for platform specifics, hig-components-layout for navigation, hig-components-content for data display.
Domain/DNS ops across Cloudflare, DNSimple, Namecheap for Peter. Use for onboarding zones to Cloudflare, flipping nameservers, setting redirects (Page Rules/Rulesets/Workers), updating redirect-worker mappings, and verifying DNS/HTTP. Source of truth: ~/Projects/manager.
Deploy and configure your PayRam self-hosted crypto payment gateway server. Install on VPS, set up PostgreSQL database, configure root account, node details, wallets, and hot wallets. Complete deployment and onboarding in under 10 minutes. No signup required — fully self-hosted. Use when deploying PayRam for the first time, setting up server infrastructure, or configuring the PayRam dashboard.
When the user wants to optimize a signup or registration flow -- including field selection, social auth, single-step vs multi-step forms, or mobile signup. Also use when the user says "signup conversion," "registration form," "reduce signup friction," "signup A/B test," or "signup drop-off." For post-signup onboarding, see product-onboarding. For activation measurement, see activation-metrics.
Design and implement local push notification campaigns to boost user engagement in mobile apps. Use this skill whenever the user mentions local push notifications, in-app notifications, user engagement campaigns, retention messaging, re-engagement nudges, or wants to add scheduled notifications to their app. Also trigger when the user asks about notification timing strategies, onboarding notification flows, or workout/habit/goal reminder systems. Covers iOS (Swift/UNUserNotificationCenter), Android (Kotlin/WorkManager+NotificationManager), Flutter (flutter_local_notifications), and React Native (notifee/expo-notifications).
Control smart-home accessories and commission Matter devices using HomeKit and MatterSupport. Use when managing homes/rooms/accessories, creating action sets or triggers, reading accessory characteristics, onboarding Matter devices, or building a third-party smart-home ecosystem app.
Email marketing automation for HubSpot/Klaviyo/Mailchimp (and similar ESPs): design trigger-based lifecycle workflows (welcome, onboarding, nurture, win-back, cart abandonment), define segmentation + suppression/frequency policies, troubleshoot deliverability (SPF/DKIM/DMARC, one-click unsubscribe, list hygiene), and measure incrementality/ROI (holdouts, RPE, retention economics).
Use this skill when building health scores, predicting churn, identifying expansion signals, or running QBRs. Triggers on customer success, health scores, churn prediction, expansion signals, customer QBRs, onboarding playbooks, NRR optimization, and any task requiring customer success strategy or operations.
Statistical rule discovery through measurement of Go codebases: Count patterns, derive confidence-scored rules, produce Style Vector fingerprint. Use when analyzing codebase conventions, extracting implicit coding rules, profiling a repo before onboarding or PR automation. Use for "analyze codebase", "find coding patterns", "what conventions does this repo use", "extract rules", or "codebase DNA". Do NOT use for code review, bug fixes, refactoring, or performance optimization.
Implement Syncfusion WPF SfStepProgressBar for multi-step process visualization. Use this when building wizard steps, order tracking, stepper indicators, checkout flows, registration wizards, or onboarding step sequences in WPF. Covers StepViewItem, SelectedIndex, SelectedItemStatus, step marker customization, connector lines, data binding, and template selectors based on step status.
Operate sponsored APIs and x402-style campaigns for PayloadExchange, including profile onboarding, sponsor campaign setup, task gating, sponsored API creation, proxy-paid usage, and creator telemetry logging.
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.