Product

v1.0.0

Build, visualize, and launch products using strategy frameworks, AI imagery tools, and marketplace-specific optimization for digital and physical goods.

3· 1.1k·8 current·8 all-time
byIván@ivangdavila
Security Scan
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Benign
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OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
Name/description match the included documents (strategy, AI imagery, platform-specific commerce guides). No unexpected binaries, env vars, or config paths are requested.
Instruction Scope
SKILL.md and the linked files are content-and-process guidance (prompts, checklists, specs). They do not instruct the agent to read system files, access credentials, call unknown endpoints, or transmit user data to hidden places — they only recommend third-party services by name, which is appropriate for the purpose.
Install Mechanism
No install spec and no code files — the skill is instruction-only, so nothing will be written to disk or installed by the registry. This is the lowest-risk install model.
Credentials
The skill requests no environment variables, credentials, or config paths. Recommendations reference external services (Midjourney, DALL‑E, Pebblely, marketplace tools) but do not request or attempt to store keys or secrets.
Persistence & Privilege
always:false and no special privileges requested. The skill does not attempt to persist configuration or modify other skills; autonomous invocation is the platform default and not an added privilege here.
Assessment
This skill is a content-rich product-playbook and appears coherent with its description. Because it's instruction-only, it won't install code or request secrets. Things to consider before installing: (1) the skill's source/homepage is unknown — treat it like third-party documentation and avoid feeding proprietary or sensitive data into any prompts it suggests; (2) many recommendations point to third-party AI image and marketplace services that require accounts, billing, and have IP/trademark policies — follow those platforms' rules and do not upload copyrighted or trademarked content without rights; (3) if you plan to follow any of the suggested automated tool integrations, verify those integrations/auth flows separately (the skill does not perform or require them). Overall the package is internally consistent and proportionate to its stated purpose.

Like a lobster shell, security has layers — review code before you run it.

latestvk977197h9278f96eg8pcspemq9815zr8
1.1kdownloads
3stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

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

Comments

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