
I've spent months building my AI agent infrastructure with cost-efficient models (DeepSeek + Qwen), using them daily for content creation, strategy, and automation. I built SplitBrain after hitting the same wall every solo brainstorm: by round 3, a single AI just parrots you. Two complementary models, 10 minutes max, signal over noise. No corporate team. No committee. Just a self-taught creator who optimized the brainstorming loop and wants you to stop burning tokens on diminishing returns.

此Skill整合了APP製作的角色權限控管、智慧財務自動結算、動態資源預約排程、系統級通知功能、分工遊戲化模組等等 本 Agent 專長於: 執行階層化權限管理(EX:房長/財務/成員)。 自動化記帳與私密催繳通知。 即時資源調度與過期自動清理。 提供溫馨、簡潔的 AI 生活助理服務。 無論是共居空間、工作室或宿舍,透過 CollabSpaceOS 皆可快速部署具備高安全性與生活溫度感的專屬 App。 匯入此技能包,讓您的 AI 瞬間進化為精通 React + Firebase 的資深架構師!本 Skill 內建『蒐集代幣的遊戲化任務』、『智慧財務記帳』與『PWA 系統推播』等高度模組化的領域知識。 您的專屬 AI 將為您精準產出高品質代碼,完美處理『跨時區同步』與『防資料流失』等高階邏輯。從架構整合、客製化微調到進階 Debug,為接案者與開發者省下破百小時的摸索期。獲取神級框架,極速部署您的專案!」

Turn a rough skill idea into a structured blueprint: named, prompted, differentiated, and listing-ready.

AI Integration — Plans and builds LLM API connections (OpenAI, Anthropic, and more) into real apps. Covers model selection, cost estimation, key safety, error handling, and working code. Adapts to non-engineers and developers alike. Stops the #1 mistake: shipping your API key to the browser.

The creator has hands-on experience designing and operating AI-assisted business workflows, agentic systems, structured workspaces, automation routines, and governance mechanisms for safe human-AI collaboration. This includes practical expertise in workflow design, prompt and skill design, Codex/Claude-based agent operations, scheduled automation, evidence-based review, risk-aware approval flows, E2E evaluation, and iterative improvement of real operational systems.

Turn your AI agent into a business automation architect. Design, document, implement, and monitor automated workflows across sales, ops, finance, HR, and support — no n8n or Zapier required.

Stop guessing what to build. The 2026 AI-startup playbook with receipts: 111 cited sources (Sequoia, YC, NVIDIA, Anthropic, Carta, OpenAI) distilled into a decision system — the autopilot thesis ($6 of services behind every $1 of software), Greg Isenberg's 21 agent-startup categories, GEO/agent-readability, sovereign AI, and the real model-reasoning debate. Ships the evidence, a working idea evaluator, 7 templates, and 25 QA evals.

Turn PDFs, technical books and documentation into reusable AI Agent Skills. Compatible with: Claude Code Codex GitHub Copilot Agent Skills

Turn product ideas into implementation-ready plans before your AI agent writes a single line of code. AI Development Director produces structured requirements, architecture decisions, database schemas, implementation tasks, coding-agent prompts, review checklists, and launch checklists. This is not a code-generation prompt. It is the planning system that runs before code generation.