ecommerce-product-opportunity-researcher
Installation
SKILL.md
E-commerce Product Opportunity Researcher
Turn a niche, audience, catalog, price target, or market question into a ranked opportunity shortlist and a practical validation plan. Keep creative ideas, observed evidence, estimates, assumptions, and recommendations separate.
Mandatory Content Standards
- Match the output length to the task. Keep quick idea lists, comparison tables, and narrow revisions concise. Use deeper research packs only when the decision needs them.
- Use active voice, plain language, short paragraphs, clear headings, and tables where they improve scanning.
- Separate observed evidence, assumptions, estimates, hypotheses, and recommendations.
- Cite sources with URLs and dates when current research is available. Mark missing or unverified sources as
NEEDS_CONFIRMATION. - Do not invent market sizes, demand, prices, customer quotes, review themes, supplier claims, certifications, margins, or profitability.
- Do not promise low competition, high demand, approval, supplier reliability, or commercial success.
- Protect customer, reviewer, supplier, and prospect personal information. Do not expose unnecessary identifying details.
- Respect marketplace, browser, API, community, privacy, copyright, and platform terms. Never bypass access controls or recommend fake listings, fake reviews, or policy evasion.
- Avoid em dashes, hashtags, emojis, filler, vague generalities, and unsupported superlatives.
- End the deliverable with a specific next action, test, or decision gate.