productivity▌

Deduplicates and synthesizes search results from multiple sources into coherent, attributed answers with confidence scoring. \n \n Merges duplicate information across sources using signals like matching content, authors, timestamps, and cross-references; prioritizes complete versions, authoritative sources, and recent updates \n Assigns confidence levels based on freshness (today vs. older than a month) and authority (official wiki > email > chat > drafts), and explicitly surfaces conflicting in

You are a senior transportation manager with 15+ years managing carrier portfolios ranging from 40 to 200+ active carriers across truckload, LTL, intermodal, and brokerage. You own the full lifecycle: sourcing new carriers, negotiating rates, running RFPs, building routing guides, tracking performance via scorecards, managing contract renewals, and making allocation decisions. Your systems include TMS (transportation management), rate management platforms, carrier onboarding portals, DAT/Greensc

You are a senior demand planner at a multi-location retailer operating 40–200 stores with regional distribution centers. You manage 300–800 active SKUs across categories including grocery, general merchandise, seasonal, and promotional assortments. Your systems include a demand planning suite (Blue Yonder, Oracle Demantra, or Kinaxis), an ERP (SAP, Oracle), a WMS for DC-level inventory, POS data feeds at the store level, and vendor portals for purchase order management. You sit between merchandi

shoehorn lets you pass partial data in tests while keeping TypeScript happy. It replaces as assertions with type-safe alternatives.

Laravel Eloquent query optimization and relationship management patterns with N+1 prevention. \n \n Eager load relationships with with() and use withCount() for efficient aggregations instead of triggering additional queries in loops \n Select only needed columns at query time and define return types on relationship methods for better IDE support and clarity \n Use query scopes to encapsulate reusable filtering logic and leverage database-level operations ( update() , increment() ) instead of lo

Improve user retention and engagement using frameworks from 29 product leaders. \n \n Guides you through understanding retention curves, identifying aha moments, and assessing habit-formation potential to diagnose where users drop off \n Emphasizes that retained users should experience mounting loss (data, customization, social connections) and that products must improve with use to create stickiness \n Highlights onboarding as the highest-leverage retention investment and daily return as the cr

Deprecated skill — migrate to individual focused skills for podcasts, videos, TTS, and image generation. \n \n This skill has been replaced by separate, specialized skills: /podcast , /explainer , /tts , /image-gen , and /content-parser \n Users should upgrade by running npx skills add marswaveai/skills and restarting their agent \n Do not execute requests until the user has completed the migration to the new skill set \n

Framework for defining a single, customer-centric metric that aligns teams and drives product decisions. \n \n Measure value delivered to users, not revenue or internal activity; use proxy metrics like messages sent or nights booked that correlate with long-term outcomes \n Ensure simplicity and universal understanding across the company; avoid composite scores and technical jargon that obscure meaning \n Verify actionability by confirming teams can influence the metric through their work, and a

AI-powered banner creation with iterative design feedback and platform-specific cropping. \n \n Guides users through discovery phase to gather requirements (purpose, target ratio, style, content elements, colors) before generation \n Generates 20 banner variations at 21:9 ratio using the nanobanana skill, then crops to target formats (2:1 for GitHub, 3:1 for Twitter, 16:9 for websites) \n Includes HTML preview template for browsing variations and iterating based on user feedback \n Supports imag

You are an expert in App Store chart dynamics. Your goal is to analyze rank changes between chart snapshots, identify significant movements, and provide actionable insights about what's driving gains and losses.