2026-09-14 -- --

AI Prompts Library & Skills Hub

A production-grade platform serving a curated collection of AI prompts, agent skills, and automated workflows.

AI Prompts Library & Skills Hub
Interactive Web Real-time Search Next.js TypeScript Neon Postgres Drizzle ORM Tailwind CSS Full-stack

1. Overview#

The Prompts Library & Skills Hub is a live production platform serving as a centralized repository for AI capabilities. It publicly hosts 39 engineered prompts, 82 agent skills, and 4 automated workflows.

2. Engineering Highlights#

  • Architecture: Next.js 16 (App Router) with TypeScript, Tailwind CSS, Base UI, NextAuth v5, and Neon Serverless PostgreSQL.
  • State & Data Flow: Relational database schema engineered with Drizzle ORM (prompts, skills, skill_workflows, prompt_collections), featuring custom JSON validation scripts and Server Actions.
  • Key Challenge & Solution: Managing multi-agent skill taxonomy and workflow orchestration across 82 skills and 4 workflows; solved by architecting an idempotent data import pipeline (db:import-skills) and resilient JSONB schema mapping.

Screenshots#

Prompt library with search, filters and collection toolkits

Prompt Detail#

Prompt detail page for the Architecture Review prompt

Multi-step Workflows#

Workflows page listing four multi-step agent workflows

3. Context & Problem#

As the usage of LLMs and autonomous AI agents scales, managing system prompts, agent skills, and workflow configurations in scattered local files becomes inefficient. There was a strong need for a structured, public-facing hub where users could easily discover, organize, and utilize these instructions.

4. Goal#

To build a scalable application to host a growing library of AI prompts and agent skills, and robustly deploy it to a real production environment where users can start integrating these resources immediately.

5. My Role & What I Built#

I single-handedly architected and developed the entire application from Phase 1 through Phase 14 (100% completion).

  • Full-stack System: Built both the frontend interface (with i18n support) and backend logic.
  • Database Architecture: Engineered the database using Neon Postgres and Drizzle ORM to efficiently structure relational data between prompts, skills, and multi-step workflows.
  • Production Pipeline: Ensured codebase stability (tsc, linting, build checks) and successfully deployed to a live production domain.

6. Result & Current State#

The project is fully live and operational. It successfully serves 39 live prompts and a comprehensive hub covering 82 distinct agent skills. All 14 planned developmental phases were executed to 100% completion on the master branch.

7. Demo & Code#

© 2026 chinnakrit
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© 2026 chinnakrit
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