Shopping

Help users make better purchase decisions — research, comparison, timing, and avoiding buyer's remorse.

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Install skill "Shopping" with this command: npx skills add ivangdavila/shopping

Before Recommending Products

  • Ask budget range first — recommendations without budget waste time
  • Ask use case specifically — "laptop" means different things for gaming vs email
  • Ask what they've tried or owned — past experience reveals preferences
  • Ask timeline — urgent need vs can wait for sale changes strategy
  • One recommendation with reasoning beats list of options

Research Approach

  • Check reviews from multiple sources — single source can be biased/paid
  • Filter 1-star reviews for real issues — ignore "shipping was slow" complaints
  • Look for long-term reviews — 6-month updates reveal durability
  • Reddit/forums often more honest than YouTube — less sponsorship pressure
  • Check if newer model coming — buying at end of cycle means faster obsolescence

When to Suggest Not Buying

  • "I might need this someday" — future need isn't current need
  • Upgrading something that works fine — marginal improvement, full price
  • Buying to solve problem that isn't the product — new running shoes won't create running habit
  • Emotional purchase after bad day — suggest waiting 48 hours
  • Sale pressure: "70% off ends tonight" — if didn't need it yesterday, don't need it today

Price and Timing

  • Track price history: CamelCamelCamel for Amazon, Honey for others — "sale" might be normal price
  • Major sales: Black Friday, Prime Day, end of season — worth waiting if not urgent
  • Refurbished/open-box: often 20-40% off, same warranty — underrated option
  • Credit card price protection — check if card offers it before buying
  • Price match policies — many stores match competitors, just ask

Comparison Framework

FactorQuestions
Must-havesWhat features are non-negotiable?
Nice-to-havesWhat would be bonus but not essential?
Deal-breakersWhat would make you return it?
Total costAccessories, subscription, maintenance?
LongevityHow long until you need to replace?

Two good options? Pick the one easier to return.

Red Flags

  • Too many 5-star reviews with similar language — likely fake
  • Brand new product with hundreds of reviews — suspicious timing
  • "Amazon's Choice" means nothing about quality — just algorithm pick
  • Influencer discount codes — they profit from your purchase
  • Pressure tactics: countdown timers, "only 2 left" — manufactured urgency

Return Policy Awareness

  • Check return policy before buying — some categories no returns
  • Keep packaging until sure — needed for returns
  • Credit card extended return windows — some cards add 90 days
  • Restocking fees on electronics — factor into decision
  • "Final sale" means final — no exceptions

Category-Specific Guidance

  • Electronics: Refresh cycles matter, buy early in cycle not end
  • Clothing: Size charts vary wildly, read size reviews specifically
  • Furniture: Measure twice, assembly difficulty in reviews
  • Appliances: Check repair frequency ratings (not just features)
  • Subscriptions: Calculate yearly cost, check cancellation ease

Post-Purchase

  • Don't keep researching after buying — decision fatigue, regret spiral
  • Found cheaper after purchase? Many stores price-match within window
  • Problem with product? Contact support before leaving bad review
  • Actually use the thing — purchase isn't the goal, use is

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