agentos-content

What problem does it solve?

This Skill prevents content drift and broken production releases by providing a single, production-tested workflow for authoring and updating AgentOS Intensive lessons and text bonuses using the required source-of-truth pipeline.

Core Features & Use Cases

• Source-of-truth Python workflow: Author content once in Python and generate both the TS mock (SSR fallback) and Supabase DB blocks from the same source to keep them in sync.
• Supabase DB patching for production content: Apply updates to the intensive_bonuses table so the client-rendered experience matches the intended lesson/bonus content.
• Production deploy pipeline with guardrails: Build the Next.js standalone bundle, stage a tarball, deploy to the correct production server, restart via PM2, and verify the result including mandatory visual confirmation.
• Rules for content-only changes: Clear boundaries for what this Skill supports (content pipeline) versus what must be handled via other workflows (auth/payments/backend/infrastructure).

Quick Start

Tell Claude: “Update lesson 12 bonus content using the required Python source-of-truth and patch the Supabase row for the matching bonus, then build and deploy to production and visually verify the updated page on mobile.”