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Grok Bot+18 agentsFashion Trend Radar — Discover Styles & Demand Signals
Interpret dated fashion signals with market context, separating aesthetic visibility from purchase intent and validated commercial demand.
$9.99
Fashion Trend Radar — Discover Styles & Demand Signals
Example session with this skill installed
Illustrative scenario: A buyer reports seeing wide-leg trousers in several retailer catalogs but supplies no dated images, sales or customer data. The store’s current range and lead times are unknown. Assess the evidence and propose a validation workflow.
- Read your context and instructions
- Compiled the fashion trend radar
Evidence state: User-reported aesthetic observation. Dates, retailers, geography, price tier and sampling are missing. No current trend, acceleration or purchase demand verified.
Signal interpretation: Catalog visibility may indicate supply-side adoption. It does not establish customer intent or store-specific sell-through. Several observations may still share the same underlying fashion influence rather than independent demand evidence.
Context needed: Target customer, climate/season, channel, price tier, current range, fit requirements and sourcing lead times.
Validation workflow: Gather dated authorized catalog examples; describe visible attributes precisely; compare with legitimate search/customer interest and actual internal sales where available; check stockouts, returns and size availability; assess comparable offers without assuming competitor performance.
Commercial hypothesis: A small original wide-leg option might fill a range gap if customer and economics evidence supports it. No quantity or growth forecast proposed from current inputs.
Feasibility gate: Verify supplier terms, lead time, costs, margin and remaining selling window. Avoid copying distinctive designs or trade dress.
Decision: Research first, then a controlled test if justified. Trend stage and confidence remain unknown/low.
Execution: Source-limited brief only. No images inspected, current market researched, inventory ordered or trend outcome guaranteed.
Connects securely to your tools. The creator never sees your data.
About this skill
Fashion Trend Radar helps designers, buyers and brands turn fragmented style observations into evidence-qualified product and assortment directions. It considers category, customer, geography, channel, price tier and season while tracing color, material, silhouette and cultural signals.
The skill distinguishes leading, confirming and lagging indicators, observed adoption, demand and actual sell-through. It checks corroboration, lifecycle uncertainty, inventory economics and original differentiation before recommending a test. Cultural context and protected design rights remain important.
Works in ChatGPT and Claude with supplied material or current authorized research. Without live evidence it labels validation pending. It does not infer sales from images, fabricate social or search metrics, guarantee trends or copy protected designs.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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