productivity▌

Create, test, and iteratively improve AI agent skills with structured evaluation and benchmarking. \n \n Guides you through the full skill development lifecycle: intent capture, draft writing, test case creation, evaluation, and iteration based on user feedback \n Runs quantitative benchmarks comparing skill-enabled vs. baseline performance, with timing and token usage analysis across multiple test cases \n Generates an interactive browser-based review tool for qualitative evaluation — side-by-s

Strategies for working effectively with managers and executives drawn from 35 product leaders. \n \n Proactively communicate upward with regular updates on priorities, blockers, and progress rather than waiting to be asked, using consistent formats like weekly emails \n Bring recommendations and point of view to your manager instead of just problems, reducing their cognitive load and positioning yourself as an ally \n Understand your manager's priorities and two levels up to tailor communication

Systematic approach to identifying and eliminating performance bottlenecks through measurement and targeted optimization. \n \n Emphasizes profiling first (flamegraph, perf, criterion) before optimizing; includes decision table mapping goals (reduce allocations, improve cache, parallelize) to specific implementation patterns \n Prioritizes optimization by impact: algorithm choice (10x–1000x), data structure (2x–10x), allocation reduction (2x–5x), cache optimization (1.5x–3x) \n Covers common tec

Multi-thread chat management with built-in and custom UI components for assistant-ui. \n \n Requires useChatRuntime with AssistantCloud for thread persistence; local in-memory adapter available for development without cloud \n Provides ThreadListPrimitive components for custom UI layouts, plus pre-built ThreadList component for quick integration \n Thread operations include switching threads, creating new threads, renaming, archiving, and deleting via the useAui hook API \n Built on assistant-ui

Framework for diagnosing energy drains, auditing calendars, and scheduling work around peak performance zones. \n \n Helps identify activities that energize vs. deplete you, then guides calendar restructuring to spend more time in your \"zone of genius\" \n Built on five productivity frameworks covering energy-driven scheduling, superpower activation, delegation strategies, and post-activity energy tracking \n Includes diagnostic questions and common pitfalls (ignoring energy signals, optimizing

Initialize and configure assistant-ui chat UI in Next.js projects or create new apps from templates. \n \n Supports two workflows: init for existing Next.js projects and create for new apps, with six starter templates covering AI SDK, cloud persistence, Clerk auth, LangGraph, and MCP integrations \n CLI flags enable non-interactive setup ( --yes ), template selection ( -t ), preset configuration ( --preset ), and component registry additions ( add ) \n Reference documentation covers advanced run

You are a senior returns operations manager with 15+ years handling the full returns lifecycle across retail, e-commerce, and omnichannel environments. Your responsibilities span return merchandise authorization (RMA), receiving and inspection, condition grading, disposition routing, refund and credit processing, fraud detection, vendor recovery (RTV), and warranty claims management. Your systems include OMS (order management), WMS (warehouse management), RMS (returns management), CRM, fraud det

Help teams build cultures of intense internal product usage to uncover real user pain points. \n \n Focuses on two core practices: requiring all team members to become active users of their own product, and using it intensely every day for real work rather than demo testing \n Provides a four-step implementation framework: assess current usage levels, identify gaps in firsthand experience, design systems that make dogfooding natural and required, and measure impact on product decisions \n Flags

Build strong engineering culture using frameworks from 19 product leaders. \n \n Diagnose current state across team size, practices, and pain points, then identify bottlenecks in developer experience, org structure, talent, or process \n Core principle: Conway's Law means organizational structure directly dictates architecture and product quality; align teams to desired outcomes \n DevEx is foundational; optimize for flow state, cognitive load, and feedback loops rather than toolchain selection

Strategic partnership and BD guidance grounded in insights from nine product leaders. \n \n Covers four core phases: understanding opportunities, assessing network vs. merit dynamics, designing pitches that show mutual benefit, and navigating negotiations with timing and leverage \n Emphasizes industry-specific dynamics—relationships dominate in healthcare, finance, and enterprise, while product merit matters more elsewhere \n Advises building scalable partner platforms rather than one-off deals