Results for “product”

Sales asset creation for Nick's products and client work. Use when creating one-pagers, product explainers, demo outlines, sales decks, or concise materials that help someone understand and buy quickly.

Builds a complete launch package for an app, tool, or library: product audit, positioning, landing copy, store listings, Product Hunt and Show HN drafts, a 14-post social calendar, SEO baseline fixes, and a launch-day runbook, all written to a launch/ directory.

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that doesn't bankrupt you. Use when: keywords, file_patterns, code_patterns.

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that doesn't bankrupt you. Use when: keywords, file_patterns, code_patterns.

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that doesn't bankrupt you. Use when: keywords, file_patterns, code_patterns.

When the user wants to create competitor comparison or alternative pages for SEO and sales enablement. Also use when the user mentions 'alternative page,' 'vs page,' 'competitor comparison,' 'comparison page,' '[Product] vs [Product],' '[Product] alternative,' 'competitive landing pages,' 'how do we compare to X,' 'battle card,' or 'competitor teardown.' Use this for any content that positions your product against competitors. Covers four formats: singular alternative, plural alternatives, you vs competitor, and competitor vs competitor. For sales-specific competitor docs, see sales-enablement.

>- Advanced Product Quality Planning (APQP) — plan and track a new product launch through all 5 phases, identify deliverables per phase, run gate reviews, and ensure quality outputs are complete before Start of Production (SOP). Use when launching a new part, managing an APQP project, or auditing APQP completeness. Covers AIAG APQP 2nd edition and IATF 16949 §8.3.

Automate Payhip e-commerce operations like sales management, product updates, and customer management through Composio's Payhip toolkit via Rube MCP.

Navigate a Taobao or Tmall shop's catalog page to extract paginated product listings including itemId, title, and image URL.

Define a lightweight, disposable Proof of Life probe to test a risky hypothesis cheaply and surface harsh truths before building real product.

Analyzes an app from video, screenshots, or URL and produces a structured product breakdown covering features, UX, monetization, market, and recommendations.

Generates e-commerce product catalog images from raw photos, including packshots, cutouts, dimensions images, lifestyle scenes, and marketplace variants for Amazon, Shopify, and Etsy.

Generates a structured Product Requirements Document for the MÄÄK dating app, with clarifying questions, right-sized user stories, and verifiable acceptance criteria.

Learn and apply CQL concepts, implementation strategies, best practices, and real-world applications in professional environments. Covers foundational concepts, Python implementation patterns, and production-grade system design.

Trigger: press release, PM memo, PRD memo, product launch narrative, launch story. Scope: Writing press releases and future launch stories for project alignment. Boundary: Excludes writing functional code or task tracking.

Use when building a minimum viable product with maximum constraints

产品战略团队完整手册。覆盖需求文档撰写、路线图管理、竞品分析、用户研究综合、指标评审、Sprint规划、干系人沟通和产品头脑风暴全流程。当涉及任何产品管理相关的请求时自动触发。

A model in production is never just weights.

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that doesn't bankrupt you. Use when "keywords, file_patterns, code_patterns, " mentioned.

Choose pricing models, set freemium thresholds, and structure enterprise pricing conversations for technical products.

Generates UGC-style lifestyle photos of a person wearing or using a product, with authentic, social-media-native imagery.

Audits Amazon Ads profiles, campaigns, and performance across Sponsored Products, Brands, Display, and DSP, covering targeting, budgets, ACOS, TACOS, and policy compliance.

Transforms scattered competitor data into a decision-ready product strategy report with positioning maps, feature matrices, pricing analysis, and opportunity windows.

Generates a structured 6-minute two-person English product presentation script, split into unique features/target customers and market comparison/competitive advantages, with time allocations and full dialogue.

Audits product flows to find delight opportunities, then specifies micro-interactions, animations, and usability risk assessments that balance playful design with functional clarity.

Routes content creation requests to the appropriate specialist skill, directing writing and brand voice tasks to content-production and planning tasks to content-strategy.

AI product architect guiding PRD-equivalent planning, architecture, and delivery planning decisions. Use when the user asks to talk to Dumbledore, requests the AI architect, or needs structured planning for an AI product.

Guides creators through a three-step process to combine personal creative expression with sustainable commercial value, from self-driven creation to sharing and productization.

Product analytics planning for Nick's apps. Use when deciding what to track, setting up events, defining funnels, or making sure a product launch can measure activation, retention, and conversion instead of guessing.

Create a go-to-market strategy covering marketing channels, messaging, success metrics, and launch timeline for product launches or new market entry.

Build an Opportunity Solution Tree (OST) to structure product discovery — map a desired outcome to opportunities, solutions, and experiments.

Generates concise product copy for buttons, empty states, errors, toasts, confirmations, and form guidance using a casual but polite tone.

Apply six decades of persuasion science—Cialdini's principles of reciprocity, commitment, social proof, authority, liking, scarcity, and unity—to product design, copy, and sales, ethically.

Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature engineering, A/B testing, and monitoring. Use PROACTIVELY for ML model deployment, inference optimization, or production ML infrastructure.

Use when the team needs pricing, packaging, free-tier, trial, usage metering, or business-model guidance for a software product. Trigger on requests to design how the product should make money or control value access.

Prepares production launches. Use when preparing to deploy to production. Use when you need a pre-launch checklist, when setting up monitoring, when planning a staged rollout, or when you need a rollback strategy.