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Product

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@ivangdavila

npx machina-cli add skill @ivangdavila/product --openclaw
Files (1)
SKILL.md
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When to Use

  • Creating products (digital SaaS or physical goods)
  • Generating product mockups and photography with AI
  • Optimizing listings for marketplaces (Amazon, Etsy, Shopify)
  • Validating ideas and measuring product-market fit
  • Pricing strategy and launch planning

Quick Reference

NeedFile
Validate an ideastrategy/validation.md
Prioritize featuresstrategy/prioritization.md
Track metricsstrategy/metrics.md
AI image toolsvisuals/ai-tools.md
Product photo promptsvisuals/prompts.md
Image specs by platformvisuals/specs.md
Amazon FBAcommerce/amazon.md
Etsy sellingcommerce/etsy.md
Print-on-demandcommerce/pod.md
Pricing strategiescommerce/pricing.md
Manufacturing compliancemanufacturing/compliance.md

Core Workflow

Digital Products (SaaS):

  1. Validate → strategy/validation.md (interviews, smoke tests)
  2. Define MVP → strip to one core value proposition
  3. Prioritize → strategy/prioritization.md (RICE scoring)
  4. Launch → beta program, iterate fast
  5. Measure PMF → strategy/metrics.md (Sean Ellis 40%+)

Physical Products:

  1. Design → ensure DFM compliance
  2. Source → manufacturing/compliance.md for certs by region
  3. Photograph → visuals/prompts.md for AI shots
  4. List → platform-specific files in commerce/
  5. Launch → limited drops, scarcity mechanics

Merchandising (logo on products):

  1. Create design at highest resolution needed
  2. Use AI mockup tools → visuals/ai-tools.md
  3. Export platform-specific sizes → visuals/specs.md
  4. List across platforms → commerce/pod.md

Critical Rules

  • Validate before building — always test demand first
  • Platform specs matter — wrong dimensions = rejected listings
  • Pricing includes fees — calculate true margins after all platform cuts
  • PMF before scaling — 40%+ "very disappointed" on Sean Ellis test

Source

git clone https://clawhub.ai/ivangdavila/productView on GitHub

Overview

Product helps you build digital SaaS or physical goods using strategy frameworks, AI imagery tools, and marketplace optimization. It covers validating ideas, defining MVPs, prioritizing features, and launching with PMF and pricing strategies tailored to each marketplace.

How This Skill Works

Uses a triad of strategy docs, AI visuals, and platform specs. Digital products follow: validate → MVP → prioritize → launch → measure PMF. Physical goods follow: design for DFM, source with manufacturing compliance, photograph with AI prompts, and list with platform-ready files.

When to Use It

  • Creating digital SaaS or physical goods
  • Generating product mockups and AI-driven photography
  • Optimizing marketplace listings (Amazon, Etsy, Shopify)
  • Validating ideas and measuring product-market fit
  • Pricing strategies and launch planning

Quick Start

  1. Step 1: Validate the idea using strategy/validation.md (interviews, smoke tests).
  2. Step 2: Define the MVP and prioritize features with strategy/prioritization.md (RICE scoring).
  3. Step 3: Create visuals and listings with visuals/ai-tools.md, visuals/prompts.md, visuals/specs.md, and platform files under commerce/ (Amazon/Etsy/Pod).

Best Practices

  • Validate before building to test demand first
  • Respect platform specs and image/dimension requirements to avoid rejected listings
  • Incorporate all platform fees when pricing to ensure true margins
  • Aim for PMF before scaling (40%+ according to Sean Ellis)
  • Follow the core workflow (validate → MVP → prioritize → launch → measure)

Example Use Cases

  • SaaS MVP launched after conducting interviews and smoke tests to validate demand and achieve initial PMF.
  • A physical gadget designed with DFM, sourced with regional manufacturing compliance, photographed with AI prompts, and listed with platform-specific files.
  • An Amazon listing boosted with AI-generated product photos and platform-ready image specs.
  • A merch line created with AI mockups and exported across Shopify, Amazon, and Etsy using the required specs.
  • An Etsy shop optimized with pricing strategies that account for all platform fees and margins.

Frequently Asked Questions

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