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affaan-m

内容引擎AI智能体技能是一种创建平台原生内容系统的技能，适用于多个平台和活动

InterCooperative-Network

Resolve PR↔branch identity from GitHub. Never trust plan docs or memory for branch names.

hugocool

Use the constraint-memory MCP tools to query/upsert timeboxing constraints stored in Notion.

walm00

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.

dartsim

DART contribution workflow - branching, PRs, code review, dual-PR for bugfixes

vlad-ryzhkov

AI-промпты, агенты и анти-паттерны для QA — от аудита спецификаций до генерации API-тестов

affaan-m

跨平台内容分发技能，适配多个社交媒体平台，实现内容的原生化分发

frankxai

/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.

frankxai

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.

frankxai

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.

jkenney47

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.