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Ethan-paseya

@ethan-paseya source repo

13 published skills

  1. Amazon Analyse · ethan-paseya bundle
    Amazon single-product analysis workflow. Use when the user runs `/amazon-analyse {ASIN} {SITE}` to collect marketplace data, produce a Markdown product analysis report, optionally export a product-manager meeting Excel workbook, and run data validation without exposing secrets.
    0 installs
  2. Review Analysis · ethan-paseya bundle
    Amazon review and VOC analysis using SellerSprite MCP. Use when the user runs `/review-analysis {ASIN} {SITE}` to analyze positive and negative reviews, identify product pain points, listing mismatch, service risks, and product improvement actions.
    0 installs
  3. Keyword Research · ethan-paseya bundle
    Amazon keyword library research using SellerSprite MCP. Use when the user runs `/keyword-research {ASIN} {SITE}` to collect keyword data, classify terms into eight dimensions, and produce advertising and listing keyword strategy outputs.
    0 installs
  4. Product Planning · ethan-paseya bundle
    基于三款种子竞品和 SellerSprite MCP 证据生成 Amazon 产品立项企划。适用于 `/product-planning "{ASIN1;ASIN2;ASIN3}" {SITE}`、产品立项企划、企划表、会议版 Excel、竞品与市场证据整合;默认输出 Markdown 主报告和 Product-Planning V1 七 Sheet Excel。
    0 installs
  5. Product Research · ethan-paseya bundle
    Amazon product opportunity research using SellerSprite MCP and LLM reasoning. Use when the user runs `/product-research "{PRODUCT_KEYWORD}" {SITE}` to research a product direction, evaluate market opportunity, competitors, VOC, barriers, and launch decision.
    0 installs
  6. Category Selection · ethan-paseya bundle
    Amazon category opportunity research using SellerSprite MCP. Use when the user runs `/category-select "{CATEGORY}" {SITE}` to evaluate a full category with market size, growth potential, competition, barriers, margin space, and product-entry recommendations.
    0 installs
  7. Amazon Analyse 2 · ethan-paseya bundle
    Amazon single-product analysis workflow. Use when the user runs `/amazon-analyse {ASIN} {SITE}` to collect marketplace data, produce a Markdown product analysis report, optionally export a product-manager meeting Excel workbook, and run data validation without exposing secrets.
    0 installs
  8. Amazon Analyse 3 · ethan-paseya bundle
    Amazon single-product analysis workflow. Use when the user runs `/amazon-analyse {ASIN} {SITE}` to collect marketplace data, produce a Markdown product analysis report, optionally export a product-manager meeting Excel workbook, and run data validation without exposing secrets.
    0 installs
  9. Review Analysis 2 · ethan-paseya bundle
    Amazon review and VOC analysis using SellerSprite MCP. Use when the user runs `/review-analysis {ASIN} {SITE}` to analyze positive and negative reviews, identify product pain points, listing mismatch, service risks, and product improvement actions.
    0 installs
  10. Keyword Research 2 · ethan-paseya bundle
    Amazon keyword library research using SellerSprite MCP. Use when the user runs `/keyword-research {ASIN} {SITE}` to collect keyword data, classify terms into eight dimensions, and produce advertising and listing keyword strategy outputs.
    0 installs
  11. Product Planning 2 · ethan-paseya bundle
    基于三款种子竞品和 SellerSprite MCP 证据生成 Amazon 产品立项企划。适用于 `/product-planning "{ASIN1;ASIN2;ASIN3}" {SITE}`、产品立项企划、企划表、会议版 Excel、竞品与市场证据整合;默认输出 Markdown 主报告和 Product-Planning V1 七 Sheet Excel。
    0 installs
  12. Product Research 2 · ethan-paseya bundle
    Amazon product opportunity research using SellerSprite MCP and LLM reasoning. Use when the user runs `/product-research "{PRODUCT_KEYWORD}" {SITE}` to research a product direction, evaluate market opportunity, competitors, VOC, barriers, and launch decision.
    0 installs
  13. Category Selection 2 · ethan-paseya bundle
    Amazon category opportunity research using SellerSprite MCP. Use when the user runs `/category-select "{CATEGORY}" {SITE}` to evaluate a full category with market size, growth potential, competition, barriers, margin space, and product-entry recommendations.
    0 installs