AI Skill Library
A searchable catalog that turned one-off prompt engineering into a shared, reusable practice for a content strategy team.
Project overview
Context: As the Help Center content strategy team took on more AI-assisted work — evaluating model responses, drafting AI-assisted content, running gap analyses — every strategist was writing prompts from scratch, with no shared reference for what already worked.
Challenge: Effective prompts existed only in scattered notes, chat threads, and individual memory. There was no way to search by use case, no shared signal for which prompts actually worked well, and no consistent format for the ones that did exist.
Approach: Build a searchable, filterable catalog so the team could find, reuse, and rate proven prompts instead of reinventing them each time.
Users can filter by category or difficulty, or search by title, description, or tag. See the fully functional, sanitized mock-up →
Every prompt, ready to customize
Each entry includes a full prompt template with variable placeholders highlighted, so a teammate can drop in their own help center name, time range, or volume threshold and get a working prompt in seconds — no rewriting from scratch.
My role
Catalog Interface Design
Designed and built a searchable, filterable frontend catalog with category and difficulty filters and a featured-skills panel to surface the most useful prompts first.
Reusable Content Modeling
Structured a reusable content model for prompt entries — title, category, difficulty, use case, and tags — so the catalog could scale without a rigid database schema.
Lightweight Data Architecture
Built the catalog on a Google Sheets data layer with five-minute caching, letting non-technical teammates add or edit prompts without needing engineering support.
Feedback-Driven Curation
Implemented a CSAT-style helpfulness vote on every prompt, surfacing the most-trusted entries to the top and standardizing how the team approached prompt engineering.