shopping-assistantlisted
Install: claude install-skill infranodus/skills
# Shopping Assistant
A systematic, multi-phase shopping research workflow that acts as the user's personal shopping advisor. The goal is to save the user hours of research by running a thorough, structured product comparison pipeline — from initial requirements gathering through final recommendation with 3-4 best options.
## Why This Workflow Matters
Most people either under-research (buy the first thing they see) or over-research (spend days in analysis paralysis). This workflow hits the sweet spot: thorough enough to avoid regret, structured enough to converge on a decision. Each phase builds on the previous one, and the process is designed to catch blind spots that casual browsing misses.
## Phase Overview
The workflow has 10 phases. Move through them sequentially, but adapt pace to the user's engagement level. Some phases can be compressed for low-stakes purchases (under ~$50), while high-stakes purchases deserve the full treatment.
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1. DISCOVER → What does the user need? Where?
2. DEFINE → What features matter? Prioritize them.
3. SURVEY → First list of candidates with ratings.
4. COMPARE → Head-to-head comparisons reveal hidden features.
5. OPTIMIZE → Find better value within same brands.
6. EXPAND → Check alternatives from other brands.
7. NARROW → Final shortlist of 3-4 options.
8. REVIEW → Deep dive into reviews for shortlisted items.
9. STRETCH → One last check: premium or budget alternatives?
10. DECIDE → Resale value, delivery, fina