shopping-hunter

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Deep shopping research skill for finding products similar to a reference link or image, benchmarking global pricing, comparing quality/provenance, and creating a reusable buying dossier with links, per-item prices, shipping notes, and value-focused recommendations.

jakkaj By jakkaj schedule Updated 6/3/2026

name: shopping-hunter description: Deep shopping research skill for finding products similar to a reference link or image, benchmarking global pricing, comparing quality/provenance, and creating a reusable buying dossier with links, per-item prices, shipping notes, and value-focused recommendations.

Shopping Hunter

Use this skill when the user wants to find, benchmark, compare, or source products similar to a reference item, image, aesthetic, material, maker, or buying goal. The default mode is deep global shopping research with Australia prioritized, AUD-normalized pricing, and a documented dossier.

Default operating mode

  • Produce all of the following:
    • A buying dossier.
    • A concise shortlist of the best buys.
    • A market benchmark showing cheap, mid-market, premium, and high-end pricing.
  • Prioritize Australia first, then global sources.
  • Normalize prices to AUD primary, while preserving original currency and set size.
  • Be value-focused: call out bargains, fair pricing, overpricing, provenance premiums, hidden shipping risk, and “cheap but not equivalent” alternatives.
  • Prefer actual purchasable product links over inspiration-only pages.
  • Include official brand/maker sites, marketplaces, local retailers, boutiques/design stores, secondhand/vintage listings, high-end benchmarks, and wholesale/B2B leads when relevant.
  • Search deeply: use regional/source passes, price-tier passes, terminology/source-origin research, exact-source tracing, and high-end benchmarks.

Required intake questions

Before starting, ask for the missing items from this list. If the user already provided some, only ask for the missing/high-impact ones.

  1. Reference link(s) and/or image(s).
  2. What they like about the reference: colours, shape, material, finish, dimensions, provenance, vibe, brand, price, etc.
  3. Budget or price bands to benchmark.
  4. Must-have traits vs nice-to-have traits.
  5. Regions to prioritize, with Australia as the default priority.
  6. Whether vintage/used/one-off listings are acceptable.
  7. Whether wholesale/B2B/MOQ sources are acceptable.
  8. Quantity needed and whether sets are preferred.
  9. Deal-breakers: materials, countries, shipping, lead times, ethics, returns, fragility, defects.
  10. Whether to create a Markdown dossier file; default is yes.

If the user says “don’t hold back,” “deep search,” or similar, proceed with a deep multi-pass workflow and do not over-ask beyond truly missing constraints.

Research workflow

1. Parse the target

Extract a target profile:

  • Product category and functional use.
  • Visual traits.
  • Materials and construction.
  • Dimensions/capacity if relevant.
  • Likely origin/provenance clues.
  • Search vocabulary and synonyms.
  • Known brand/source clues from the reference page.

Separate:

  • Exact match: same brand/product/source.
  • Close match: same material/process/aesthetic, different maker.
  • Adjacent: same vibe, different process or quality.
  • Budget lookalike: visually similar but materially different.
  • Premium benchmark: higher-end equivalent for price context.

2. Run parallel research passes

When available, use parallel subagents or independent searches by scope. Good default passes:

  • Exact-source tracing: same product, same brand, resellers, wholesale clues.
  • Australia/NZ retailers.
  • Etsy/global marketplace alternatives.
  • Official brand/maker sites.
  • US homeware/boutique sources.
  • UK/EU homeware/boutique sources.
  • Budget marketplace and mass-market alternatives.
  • Wholesale/B2B/source-origin pass.
  • High-end/designer/artisan benchmark.
  • Search-terms/provenance map.

Do not duplicate work already delegated to an agent. Wait for required research before final synthesis when feasible.

3. Verify and normalize

For each candidate, capture:

  • Product name.
  • Merchant/seller.
  • URL.
  • Price as listed.
  • Currency.
  • Set size / quantity.
  • Calculated per-item price.
  • Approximate AUD per item.
  • Shipping to Australia or availability notes.
  • Materials and process.
  • Origin/provenance.
  • Dimensions/capacity.
  • Similarity rating.
  • Recommendation tier.
  • Risk notes: blocked page, unverified price, vintage defect, MOQ, sold out, surface coating vs material colour, import/customs risk.

Never invent prices. If a price is from a snippet, archive, search result, or blocked page, label it clearly as unverified or partially verified.

4. Build the dossier

If the user wants a file, create a Markdown dossier in the session files folder unless they explicitly request a repository path. If the user explicitly asks for a repo file, create it where requested.

Recommended dossier structure:

  1. Executive verdict.
  2. Price bands / market map.
  3. Best shortlist.
  4. Exact-source findings.
  5. Local/Australia options.
  6. Global alternatives by region.
  7. Budget/mass-market benchmarks.
  8. Premium/high-end benchmarks.
  9. Wholesale/source-origin leads.
  10. Search terms and sourcing vocabulary.
  11. Buying guidance.
  12. Research limitations and unverifiable leads.

Use dense tables for product comparisons. Keep a short chat summary after creating the dossier and include the file path.

Recommendation style

Be direct and opinionated:

  • Say which option is the best exact match.
  • Say which option is the best value.
  • Say which option is cheapest but materially different.
  • Say which option is premium and why.
  • Say whether the reference price looks fair, inflated, or unusually cheap.
  • Explain when provenance, material, handmade process, or shipping justifies a higher price.

Quality rules

  • Prefer current, live product pages, but include archived/snippet data when clearly labeled.
  • Include sold-out/vintage listings only when useful for benchmarking or search vocabulary.
  • Distinguish colour-in-glass from sprayed/painted/electroplated finishes.
  • Distinguish handmade, mouth-blown, machine-made, pressed, molded, and studio-art products.
  • Distinguish retail price from landed cost; shipping can dominate international purchases.
  • Flag fragile/shipping-sensitive categories.
  • Do not treat marketplace SEO claims as proven provenance without corroborating text.

Final response pattern

Lead with the outcome:

  • “Created the dossier: <path>
  • “Best exact match: ...”
  • “Best value: ...”
  • “Price verdict: ...”

Keep the chat response concise; the dossier carries the detail.

Install via CLI
npx skills add https://github.com/jakkaj/tools --skill shopping-hunter
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