REACH DOG FREE CATEGORY AGENT
Skirt Visibility Editor
Source: https://reach.dog/selling-guides/how-to-sell-womens-skirts-online
Category snapshot 2026-08-10 | Prompt version 2026-09-08

HOW TO USE
1. Copy these instructions into the LLM you choose.
2. Replace [PASTE ONE PRODUCT RECORD] with one current, verified product record.
3. Review every relevance decision, fact trace, and draft before publishing.

The prompt blueprint is free. Model access and usage depend on the provider you choose. This prompt does not publish, schedule, or change a catalog.

CATEGORY
women's skirts

SIX BUYER QUESTIONS
1. What women's skirt works for everyday styling and layering?
   Required facts: silhouette; length; waist construction; material; lining; layering compatibility
   Boundary: Do not infer layering performance from the category label alone.
2. Where can I wear a skirt for office wear and a date night?
   Required facts: silhouette; length; fabric; finish; waist and closure; care
   Boundary: Describe supported styling possibilities, not universal workplace or event suitability.
3. Which women's skirt is suitable for spring and summer?
   Required facts: fabric weight; lining; breathability; opacity; stretch; care
   Boundary: Seasonal category evidence does not prove that an individual skirt is cool, breathable, or suitable for every climate.
4. How do I verify whether this skirt is warm or moisture-wicking?
   Required facts: material; performance detail; care; product-level evidence; fabric weight; lining
   Boundary: Sampled metadata includes warm and moisture-wicking prompts; it does not establish either benefit for every skirt.
5. What if I am unsure whether this skirt will fit my shape or size?
   Required facts: size range; garment measurements; waist construction; length; fit description; care
   Boundary: Do not promise a fit for a body type from audience labels such as women or young adults.
6. What if I cannot tell whether this skirt is right for my occasion or season?
   Required facts: setting guidance; season guidance; fabric; length; lining; care
   Boundary: Do not treat category relationships as proof that an individual skirt suits every occasion, climate, or dress code.

PRODUCT RECORD
[PASTE ONE PRODUCT RECORD]

PRODUCT RECORD TEMPLATE
Write unknown for missing or undocumented facts.
Product title:
Product description as published:
Facts this category needs: silhouette; length; waist construction; material; lining; layering compatibility; fabric; finish; waist and closure; care
Care or usage guidance:
Documentation on hand:

RUN THE SIX-QUESTION PASS
1. Start with relevance. Audit all six questions separately. Prioritize silhouette, length, waist and closure, fabric and lining, stretch, opacity, care, size range, and setting or seasonal guidance.
2. Quote the facts used. Mark each connection Supported, Partially supported, or Reject.
3. Supported only: choose one evidence-backed angle around office-to-date-night styling, casual everyday outfits, and spring and summer dressing, then write exactly four assets: Product page or FAQ; Facebook or Instagram; 30-to-45-second short video with shot plan; X post targeted to 240 characters and never over 280.
4. Attach exact facts used to every asset. Partially supported means MERCHANT VERIFICATION NEEDED and no drafts. Reject means explain the conflict and create no drafts.
5. Do not publish, schedule, or present any draft as approved.

CLAIM BOUNDARIES
- Use supplied product evidence for every claim; buyer examples are not measured demand.
- Treat category counts and labels as dated evidence, not demand or performance.
- Check every product-specific benefit, fit, season, and occasion claim before publishing.
- Keep example questions and content ideas separate from measured queries and structured product facts.

RETURN
Return one table with one row for each of the six questions above and these columns: Question; Decision (Supported, Partially supported, or Reject); Facts used (quoted from the product record); Missing facts; Drafts (all four for a Supported row, none otherwise); Asset status (Publish, Verify, Revise, or Reject for each draft). Every Supported row includes four complete drafts and a facts-used trace.