Supplier Catalog to Store
Turn supplier data into product listings with AI
Prepare store-ready product records from supplier spreadsheets, PDFs, and approved facts. A free AI skill for catalog enrichment and product descriptions.
Made for
E-commerce owners and catalog or content teams
What you bring
- Supplier CSVs, spreadsheets, PDFs, or approved product facts
- Your store import fields and product variant rules
- Brand terminology and approved claims
What you get back
- Consistent titles, attributes, and product descriptions
- Structured records with source references for review and import
- A queue of missing facts, quantity issues, and variant exceptions
Install this skill
npx skills add https://github.com/aidevs-pt/devs-ai-skills --skill supplier-catalog-to-storeRun in your project folder and follow the installer prompts for your assistant. Node.js and npx are required.
MIT-licensed. Your AI assistant, model access, or optional integrations may have separate costs.
A concrete starting point.
Use the bundled synthetic example before introducing company data. No account connection or business files are needed for that first trial.
- Install the skill in your assistant.
- Open its bundled example input and supporting files.
- Ask for the named skill, then review its output against the sources.
A request to try
Use supplier-catalog-to-store with the bundled example. Prepare the product records for review, preserve source references and variants, and leave unsupported product claims blank.
- Supplier record
- BOTTLE-750 / stainless steel / 750 ml
- Product title
- 750 ml stainless steel bottle
- Missing fact
- Dishwasher safety not supplied: review required.
This is an illustration of the work, not a recorded model result or a performance claim.
Where human review matters
Review product facts, quantities, and variant mappings before import. The skill does not publish to your store or infer certifications, compatibility, or other unsupported claims.
The repository includes local helper checks. Passing those checks does not validate language quality, your business rules, or a production integration. Python 3.10+ is needed for the helper tools.
Read the skill instructions