Expert in end-to-end AI-assisted software delivery, from design engineering and design systems to shipping: design engineering, design system automation, technical documentation, spec-driven planning, polyglot code quality, systematic QA, release auditing, LLM context engineering, and Astro frontend optimization. Built for agent-agnostic workflows across the full 9-skill delivery lifecycle.
AI Agent Skill：根據你主動提供的作息、當下情境與修正，提出可解釋的下一步假設。跨對話分層記憶與提醒都需要相容的宿主工具、欄位揭露及你的確認；沒有工具時只使用目前對話或提供未排程計畫。
上傳商品圖片與價格，AI 自動查找可信產品資訊、整理賣點、撰寫吸睛 Hook 與 LINE@／Facebook／Instagram 銷售文案，並依平台需求製作合適的團購商品圖。少問問題、先查先做，讓商品更快變成可直接發布的社群銷售內容。
Un cycle Brainstorm → Spec validée → Plan à cases à cocher → TDD strict → Review de conformité, conçu pour les devs qui construisent des SaaS pilotés par IA (générateurs, agents, outils no-code) en HTML/CSS/JS vanilla ou Node/Express, avec intégrations multi-fournisseurs (Anthropic, OpenAI, Gemini, Mistral). Exemples d'usage : "ajoute une fonctionnalité X à mon générateur", "intègre un nouveau fournisseur IA", "refonds ce module"
Build a multi-admin LINE bot that auto-registers every group it joins, lets whitelisted admins broadcast with one command, parses free-text event descriptions into reminder schedules with Claude, fires recurring reminders, and runs scheduled broadcasts -- with deployment pitfalls for free-tier Render/Railway hosting. --- 打造多管理員LINE機器人：自動登記被邀入的群組、白名單管理員一鍵推播、用Claude把自由格式活動描述解析成提醒排程、觸發週期性提醒、跑排程廣播——附上Render/Railway免費方案的部署地雷清單。中英文版本皆完整獨立撰寫。
Turn your AI pilot data into a traceable decision pack with TCO, ROI, NPV, payback, sensitivity analysis, evidence gaps, risks, and clear next steps.
Stuck on a business decision? Three independent AI executives (Strategy, Tech, Growth) blind-review it, cross-examine each other, and deliver one clear verdict.
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.