Results for “product”

Adopts the voice and methodology of Larry Page to reframe problems with 10x thinking, moonshot criteria, and long-term bets.

Analyze political, economic, social, technological, environmental, and legal forces to identify external opportunities and threats for strategic planning.

Prioritize stakeholders using two complementary grids to set engagement strategy and surface whose voice needs elevating.

Guide teams through MITRE's Problem Framing Canvas to clarify problem statements before jumping to solutions.

Runs a structured, multi-round brainstorm to capture actors, features, scope, constraints, and business rules for a project before writing a spec.

Creates agent company packages that conform to the Agent Companies specification, either from scratch or by analyzing an existing repository.

Creates or updates a canonical founder context document capturing company, product, market, team, and fundraising facts so downstream workflows operate on concrete data.

Turns a brief product idea into working, verified code by orchestrating requirements analysis, planning, parallel implementation, QA, and multi-perspective validation.

Generate Product Requirements Documents through structured conversation for any project. Use when starting a new feature, documenting requirements, creating specs before implementation, or needing clarity on scope and success criteria.

Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations.

Rank a backlog of feature ideas by impact, effort, risk, and strategic alignment to identify the top 5 to pursue.

Design value-based pricing, packaging, and monetization strategies for SaaS products, including tier structures, value metrics, and price optimization.

Generates a high-level technical architecture specification for an epic from a Product Requirements Document, including system diagrams, component lists, and estimates.

Guide PMs through the transition to Director with adaptive coaching across preparing, interviewing, landing, and recalibrating phases.

Create refined user personas from research data with demographics, goals, frustrations, and behavioral patterns for product and UX design decisions.

Articulate a compelling north-star product vision that aligns teams and guides strategic design decisions.

Coordinates shopping between buyers and merchants: publish products, manage stock, answer questions, compare prices, and create trackable orders with local or registry-backed state.

Generates concise, Toss-inspired UX microcopy for buttons, empty states, errors, toasts, confirmations, and form guidance, with tone and localization notes.

Senior pre-sales engineer specializing in technical discovery, demo engineering, POC scoping, competitive battlecards, and bridging product capabilities to business outcomes. Wins the technical decision so the deal can close.

Create product backlog items in Why-What-Acceptance format — independent, valuable, testable items with strategic context. Use when writing structured backlog items, breaking features into work items, or using the WWA format.

Automates the entire software development lifecycle from PRD to production with zero human intervention, using multi-agent orchestration and memory systems.

Diagnose and fix retention problems using the Fogg Behavior Model (B=MAP), covering motivation, ability, prompts, and tiny habits.

Apply foundational design principles—affordances, signifiers, constraints, mappings, and feedback—to evaluate and improve product usability, bridging the gulfs of execution and evaluation.

Identify and design growth loops (flywheels) for sustainable traction, evaluating five proven mechanisms: viral, usage, collaboration, user-generated, and referral.

Runs an Opportunity Solution Tree workflow with a lightweight graph database and CLI, routing through outcome, opportunity, solution, and assumption phases.

Orchestrator for the pre-decision business-idea lifecycle — generate ideas, model them, evaluate them, validate them with customers, and only then hand off to product-soul / brainstorming. Routes through `idea-generation`, `business-modeling`, `idea-evaluation`, and `customer-discovery`. Load when the user asks to explore business ideas, find a startup idea, evaluate a venture, validate an idea, says "what business should I start", "should I build this", "is this a good business", "I have a startup idea", "evaluate this venture", "model this business", "validate this idea", "Mom Test this", "Lean Canvas this", "Business Model Canvas", "Value Proposition Canvas", "go/no-go on this idea". Pre-decision suite — once one idea is committed, hands off to `product-soul`. Does NOT design features (use `brainstorming`) or audit built products (use `reality-check`).

Design products and pricing around validated willingness to pay, using the framework from Ramanujam & Tacke's "Monetizing Innovation" to avoid common monetization failures.

Create a six-frame storyboard that shows a user's journey from problem to solution, using a classic narrative arc to build empathy and align stakeholders.

Evaluate feature investments using revenue impact, cost structure, ROI, and strategic value to make data-driven build/don't-build decisions.

World-class autonomous sales and revenue skill system. Use ANY time the user asks to sell, pitch, prospect, close, negotiate, launch, monetize, build funnels, write outreach, craft proposals, develop pricing, design offers, write sales copy, create email sequences, plan campaigns, position products, handle objections, create playbooks, build pipeline, forecast revenue, develop GTM strategy, optimize conversions, write ad copy, create sales decks, score leads, nurture prospects, upsell, cross-sell, retain customers, write case studies, price products, structure enterprise deals, create battle cards, script discovery calls, build affiliate programs, plan product launches, create webinar funnels, design pricing pages, A/B test offers, analyze unit economics, calculate LTV/CAC, or ANY other sales, revenue, monetization, go-to-market, or commercial growth task. If it involves selling, revenue, deals, pipeline, or commercial strategy — USE THIS SKILL. Trigger aggressively.

Creates decision-focused PRDs and product specs — the kind that make explicit decisions, not document hopes. Make sure to use this skill whenever someone asks to write, review, draft, or improve any product document, including PRDs, feature specs, requirements docs, or product specifications. Trigger even when the user doesn't say "PRD" explicitly — phrases like "write a spec for X", "define requirements for Y", "what should my PRD include", "help me document this feature", or "my spec feels too vague" all apply. Do not attempt to write the PRD directly without consulting this skill. Produces 5-stage PRDs with behavior contracts (15-25 labeled examples for AI features), measurable success metrics with specific thresholds, precise rollout plans with percentages and ramp gates, and antipattern detection. Works for AI features, SaaS, mobile apps, and traditional software.

Design, prioritize, and evaluate product experiments with clear hypotheses and defensible decisions, including A/B testing, sample size estimation, and statistical interpretation.

Design the small details—triggers, rules, feedback, loops, and modes—that separate good products from great ones, based on Dan Saffer's framework.

Create user stories using Mike Cohn format with Gherkin acceptance criteria, translating user needs into development-ready work with clear outcomes and testable conditions.

Map every stakeholder before engaging anyone, using an equity-aware process that captures not just obvious sponsors but gatekeepers, impacted communities, and overlooked voices.

将产品想法、用户反馈、研究数据、云文档、附件和已有方案转化为有依据的产品判断、策略、MVP、优先级、Roadmap、PRD、用户故事、验收标准或方案评审。任务涉及产品决策、需求取舍、存量产品修改、范围变更、上线复盘或产品文档交付时使用，即使用户没有说‘产品经理’；纯转写、翻译、校对、格式转换、资料摘要或已定方案的技术实现不由本 Skill 主导，除非仍需产品判断。用户提供链接、文件、截图、脑图、表格、评论或旧产物时，先读取真实内容。