The content-engine AI agent skill helps developers create strong, platform-native content systems for various platforms, adapting one idea into multiple formats. It benefits developers, marketers, and content creators by streamlining content creation and repurposing.
Business Context Engineering for Claude Code. Create order in your business knowledge - and keep it. CLEAR methodology, self-learning lessons system, strategic reflection, session persistence, 8 skills. For marketers, strategists, founders, anyone managing business docs.
Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.
/Lumina-Intelligence, /Luminor-intelligence & /StarlightOrchestrator building Arcanea with swarm intelligence that overlays any AI. Ten Gates, Guardians & Godbeasts, context that compounds, and the creative civilization OS for creators who build universes.
Apply and enforce brand voice across all content creation. Manages voice attributes, tone adaptation by channel, style rules, and terminology. Use when writing content, reviewing drafts, or defining brand voice for a new project. Loads voice config from CREATOR.md or creator-memory/voice.md.
React 19 and Next.js 16 performance optimization for the Arcanea platform. Use when writing, reviewing, or refactoring React components, data fetching logic, bundle optimization, or any frontend performance work. Triggers on: React components, Next.js pages, hooks, data fetching, bundle size, re-renders, Server Components, Client Components, hydration. Sourced from Vercel Engineerings official React best practices (57 rules, 8 categories) and adapted for the Arcanea stack.
Adapt existing interface designs for new contexts such as mobile, tablet, desktop, print, email, or alternative input/connection constraints while preserving core outcomes and usability. Use when a feature must work consistently across devices, platforms, or usage environments that differ from the original design assumptions.