Product Finder Builder
Build a product recommendation quiz with AI
Create an editable product-finder quiz from your catalog and buying criteria. A free AI skill that produces a local, rule-based shopping guide prototype.
Made for
E-commerce owners and growth or product managers
What you bring
- An approved catalog with product attributes and constraints
- Buying criteria, common customer questions, and exclusions
- Brand assets and example shopper needs
What you get back
- A working, editable local HTML quiz prototype
- Question-to-product mappings and explainable recommendation rules
- Sample shopper journeys, including no-match cases
Install this skill
npx skills add https://github.com/aidevs-pt/devs-ai-skills --skill product-finder-builderRun 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 product-finder-builder with the bundled example. Build a local product quiz using the approved catalog, explain each recommendation, and include a no-match state. Label the runtime as rule-based.
- Shopper need
- A compact product for occasional travel
- Matching rule
- Filter by size and intended use, then compare valid options.
- No suitable match
- Show no match rather than recommending an unsuitable product.
This is an illustration of the work, not a recorded model result or a performance claim.
Where human review matters
This is a local, rule-based prototype, not a deployed AI recommender. Validate product exclusions, accessibility, and no-match journeys before publishing or connecting availability.
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