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Found 104 Skills
Process images using object detection, classification, and segmentation. Use when requesting "analyze image", "object detection", "image classification", or "computer vision". Trigger with relevant phrases based on skill purpose.
Mobile and web push notification strategy — opt-in optimization, rich push, segmentation, timing, frequency capping, deep linking, A/B testing, and analytics. Covers strategy and implementation across Braze, OneSignal, Airship, Firebase/FCM, Customer.io, Klaviyo, Iterable, and MoEngage. Use when designing push notification strategy, improving push opt-in rates, building push campaigns, choosing a push provider, or optimizing push engagement. Do NOT use for in-app messages (use /sales-in-app-messaging), email marketing (use /sales-email-marketing), SMS/WhatsApp messaging (use /sales-braze or platform-specific skill), or cold outbound (use /sales-cadence). For Braze-specific help, use /sales-braze. For Customer.io-specific help, use /sales-customerio.
SMS marketing strategy — opt-in collection, compliance (TCPA/GDPR), campaign types, automation triggers, segmentation, timing, two-way messaging, MMS, and analytics. Covers strategy and implementation across Omnisend, Klaviyo, Attentive, Postscript, Brevo, ActiveCampaign, Mailchimp, and more. Use when planning SMS campaigns, collecting SMS opt-ins, designing SMS automations, choosing an SMS platform, or ensuring SMS compliance. Do NOT use for email marketing (use /sales-email-marketing), push notifications (use /sales-push-notification), cold outbound sequences (use /sales-cadence), or platform-specific config (use /sales-omnisend, /sales-klaviyo, /sales-brevo, etc.). For Omnisend-specific help, use /sales-omnisend. For Klaviyo-specific help, use /sales-klaviyo.
Chief Customer Officer advisory for startups: retention decomposition (gross retention vs NRR honesty, churn root-cause taxonomy), customer segmentation strategy (differential investment across tiers + ICP fit scoring), CS team coverage model (pooled vs named CSM thresholds + ratio math), and CS team org evolution (CS vs Support vs AM distinctions). Use when designing retention strategy, segmenting customers for differential investment, sizing CS team, or sequencing CS hires. Strategic only — does not duplicate engineering/business-growth tactical skills.
/cs:cco-review <plan> — Retention-obsessed Chief Customer Officer interrogation of any plan that touches customer retention, segmentation, CS team sizing, or CS team hiring.
Creates customer and user segment documents. Use when the user wants to 'segment customers,' 'customer segments,' 'user segments,' 'lifecycle segments,' or 'audience segmentation.'
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.
Image processing, object detection, segmentation, and vision models. Use for image classification, object detection, or visual analysis tasks.
Define ideal customer profiles and buyer personas with structured frameworks. Use when the user asks about ideal customer profile, ICP, buyer persona, target audience definition, customer segmentation, customer research, user interviews, or persona creation. Trigger phrases include "ideal customer profile", "ICP", "buyer persona", "who is my customer", "target audience", "customer profile", "persona", "customer segmentation", "user research", "customer interview", "who should I target".
Design high-converting lead magnets and entry points with opt-in mechanisms, traffic strategies, and segmentation.
Use this skill when building computer vision applications, implementing image classification, object detection, or segmentation pipelines. Triggers on image classification, object detection, YOLO, semantic segmentation, image preprocessing, data augmentation, transfer learning, CNN architectures, vision transformers, and any task requiring visual recognition or image analysis.
Design and optimize CRM systems and client lifecycle workflows for advisory firms, covering segmentation, household management, service tiers, and retention analytics. Use when the user asks about client segmentation models, building household structures, defining service tier SLAs, scheduling reviews, tracking lifecycle stages from prospect through estate, identifying at-risk clients, analyzing wallet share, consolidating held-away assets, or evaluating CRM platforms. Also trigger when users mention 'client segmentation', 'retention risk', 'at-risk clients', 'household linking', 'multi-generational', 'service tiers', 'Redtail', 'Wealthbox', 'Salesforce for advisors', 'referral tracking', or 'contact gap'.