shopping-advisorShopping decision skill. Compares similar products, explains price gaps, judges whether something is worth buying, suggests better directions, flags common p...
Install via ClawdBot CLI:
clawdbot install harrylabsj/shopping-advisorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://json-schema.org/draft/2020-12/schemaAudited Apr 17, 2026 · audit v1.0
Generated Oct 6, 2026
A user brings 2-5 similar products (links, screenshots, or titles) for a category like headphones, laptops, or air purifiers and asks which to choose. The skill normalizes candidates, compares across decision dimensions like price-to-hand, core capability, and after-sales risk, explains the price gap, and converges on a direct recommendation.
A shopper pastes one product page and asks whether it is worth buying now or should wait. The skill converts the single candidate into a value assessment, identifies missing comparison info, surfaces common pitfalls like crippled low-end versions, and suggests better alternative directions before giving a one-line verdict.
During major sales events like 618 or Black Friday, a buyer is confused why two seemingly similar listings differ 2x in price. The skill decomposes the premium into real upgrades, brand/service markup, bundle inflation, and marketing padding, then tells the user whether that premium is worth paying.
A user has a budget and use case but no specific candidates yet, such as a gift or dorm appliance. The skill asks only the minimum key questions, proposes sensible comparison directions, flags category-specific traps, and hands back an executable next step instead of endless analysis.
An AI agent or app integrates the bundled normalize/decide/analyze scripts to turn loose chat input into a ShoppingContext and then a DecisionReport. The skill consumes structured context as the primary data source, degrades honestly when fields are missing, and emits the seven-section report for downstream UI rendering.
A paid monthly subscription to an AI shopping copilot that compares products, explains price gaps, and gives direct buy/wait verdicts across categories. The skill is the decision engine behind the chat UI, with usage caps and priority reasoning tiers on higher plans.
The skill is embedded into deal sites, cashback apps, or browser extensions, and its final recommendations route users to merchant links. Because the skill never fabricates trust signals, its verdicts stay credible and become a high-intent conversion surface.
Retailers, marketplaces, and comparison platforms license the skill as an API that ingests their product catalog, produces price-gap explanations and pitfall flags, and returns structured DecisionReports for their own UI. It increases conversion and reduces returns by helping shoppers self-select correctly.
💬 Integration Tip
Treat the provided normalize/decide/analyze scripts as a pipeline and feed structured ShoppingContext when available rather than re-parsing raw chat text. Keep the Final Conclusion output short and actionable, and always degrade gracefully instead of inventing missing price or trust data.
Scored Oct 6, 2026
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