Insight E-com Prompt Oracle Library
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About this skill
Problem
E-commerce visual prompts are often scattered across case studies, templates, and chat logs. Single-keyword search can miss constraints such as material, scene, main image, detail page, and short video. insight-ecom-oracle treats commercial photography prompt architectures as retrievable assets instead of requiring engineers to rebuild prompts from scratch.
How It Works
The skill uses multi-dimensional keyword recall:
- Expands the original keyword into variants like keyword + material / scene / style and keyword + main image / detail page / short video / commercial photography;
- Calls the LAF API, then splits and deduplicates returned blocks by Role lines;
- Returns up to five results, each with title, content, and category; if fewer match, it reports the actual count.
Boundaries
It is best suited for retrieving existing commercial visual prompt architectures, not for inventing unsupported operational plans. If the account status is need_register, need_pay, or expired, resolve registration, payment, or expiry before parsing the prompt blocks in data.
Use Cases
- Creating beauty main images, recall commercial photography prompt architectures using material, scene, and style keywords such as gloss, glass, and night scenes.
- Preparing detail-page assets, search reusable master prompt blocks with product-detail, material, and scene combinations so the team can reuse proven prompt structures.
- Before short-video storyboarding, retrieve commercial photography prompts that include Role, input variables, and post-production requirements for a concrete execution reference.
- Reviewing campaign visual style, check already-accumulated prompt architectures using main-image, commercial-photography, and style variants to compare consistent brand execution details.
Best For
- Visual planners responsible for e-commerce main images and detail pages: want to find reusable commercial photography prompt architectures by material, scene, and style.
- Short-video directors for paid campaigns: need to recall master prompt blocks with Role and input variables before storyboarding.
- Analysts managing product asset libraries: want to retrieve scattered prompts using main-image, detail-page, and short-video variants.
- E-commerce designers enforcing brand visual standards: want to check existing prompts for material coverage and post-production requirements.
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