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Rewrites product detail page copy into a brand's existing PDP template. Accepts the page structure via screenshot or pasted content, then produces section-by-section copy that follows the brand voice and positioning.

Writes net-new product descriptions from spec sheets and raw product data. Fits copy into the brand's existing PDP template sections.

Produces a structured data dictionary from a product catalog export documenting every field, valid values, variant attributes, and metafields organized by product type. Accepts CSV exports from Shopify, BigCommerce, WooCommerce, or any ecommerce platform. Output is consumed by skills that write product content, audit catalog completeness, optimize feeds, or generate bulk data operations.

Applies brand colors, typography, and heading structure to documents using a brand guidelines file. Supports Word, PDF, and presentations.

Produces a brand terminology glossary covering approved terms, terms to avoid, internal-to-customer language mappings, and branded term styling rules. Accepts existing style guides, product copy, or conversational input. Output is consumed by content generation skills to enforce consistent terminology across all channels.

Analyzes your brand's existing content and produces a structured voice profile. Upload it to future AI conversations to keep all generated copy on-brand.

Extracts brand colors, typography, and usage patterns from a website into a structured guidelines file for downstream styling skills.

Produces a product reference document with enough specific information about each product or product line for a writer or downstream skill to produce good copy. Accepts a product catalog export and optional supporting material like homepage copy or brand docs. Output is consumed by downstream skills for writing product descriptions, emails, social copy, and landing pages.

Researches a set of competitors identified by the user and produces a competitor overview document capturing each competitor's positioning, messaging, target audience, and market perception. Accepts a list of competitor names and the user's category for context. Output is a foundation document consumed by positioning briefs, comparison copy, and other downstream skills.

Produces a positioning brief from existing brand content, guided conversation, or both. Covers target customer, differentiators, competitive context, and anti-positioning. Output is a foundation document consumed by content generation, merchandising, and other downstream skills.

Produces a customer profile document from existing personas, analytics data, review insights, and direct user knowledge. Gives downstream skills and team members context about the brand's customer persona(s).

Extracts patterns from customer reviews: what they like, dislike, useful language, and which product claims hold up.

Produces a small, opinionated product badge system for a single ecommerce category. Identifies the decision axes that matter most to shoppers, then picks the best 1-2 products per badge.

Audit a PDP from screenshots and a brand voice guide. Produces a prioritized report split into content/merchandising and dev/design changes.

Walks you through creating a complete, convention-compliant AI skill for ecommerce. Produces a SKILL.md, example output, and all supporting files ready to use.

Documents the recurring structure of a content type as a reusable template. Use for PDPs, emails, collection pages, or any repeating format.

Produces a business context document capturing how a brand operates across channels, markets, pricing, seasonality, and policies. Used as a reusable input for downstream ecommerce skills.

Takes a prompt or skill you already use and converts it so other people can find and use it on SkillShelf.