leboncoin-product-selection

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Select the best LeBonCoin listings from a provided JSON export using the user’s brief + online price benchmarking; return a small ranked shortlist with reasons.

jriverosesma By jriverosesma schedule Updated 2/23/2026

name: leboncoin-product-selection description: Select the best LeBonCoin listings from a provided JSON export using the user’s brief + online price benchmarking; return a small ranked shortlist with reasons.

LeBonCoin Product Selection

Select the best items only from the provided JSON. Use the user’s brief to filter, check current market prices online, then return a ranked shortlist with clear reasons and seller questions.

Inputs

  1. User brief (FR/EN). Answer in the same language.
  2. Listings JSON: array of objects with:
  • title, description, date, price, user_score, nb_user_evaluations, url

Output (default)

  • 1–2 sentences: how you interpreted the brief
  • Top 3 listings (or fewer if only a few fit)

For each listing:

  • Title + URL
  • Listing price
  • Market price check (new and/or used) + 1–2 source names
  • Why it’s a good pick (2–4 bullets: value, fit, trust, risks/unknowns)
  • Questions for the seller (2–3)

Hard rules

  • Recommend only listings present in the JSON.
  • Do not invent specs. If unknown, say “unknown”.
  • Do not claim “new/warranty/battery health/etc.” unless stated in title/description.
  • Market-price benchmarking is required. If web access is unavailable, say so and label results “without market-price verification”.
  • Avoid high-risk/scam-like listings (off-platform payment, suspicious wording).

Workflow

  1. Parse the brief

    • Must-haves (budget max, model, “neuf”, “facture”, etc.)
    • Nice-to-haves
  2. Extract identity from each listing

    • Brand/model/variant from title + description
    • Condition/proof keywords (e.g., facture, garantie, comme neuf)
    • Flag unclear model as “exact model unknown”
  3. Benchmark prices online (for serious candidates)

    • Search “Brand Model price new” and “Brand Model used price”
    • Prefer reputable retailers for new, reputable marketplaces for used
    • Summarize as: typical used range and/or new price
  4. Filter

    • Remove anything breaking must-haves or showing strong scam signals
  5. Rank (simple logic, no scoring)

    1. Fit to must-haves
    2. Value vs market price
    3. Trust/risk (seller signals + listing clarity)
    4. Tie-breakers (proof, accessories, clearer description)

Return the shortlist in the required format.

Install via CLI
npx skills add https://github.com/jriverosesma/lbc-search --skill leboncoin-product-selection
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