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.
把模糊需求整理成清楚、可實作、可測試的產品規格。 資訊不足時先釐清關鍵問題，再依需求產出 PRD、User Story、Functional Specification、Acceptance Criteria、QA Test Cases、API Specification、Workflow、Risk Analysis 等內容，協助 PM、RD、QA 與跨部門團隊降低需求誤解、避免 Scope Creep 與減少重工。
把 AI SaaS 產品構想整理成可落地的 MVP 架構藍圖，包含功能範圍、服務拆分、資料模型、API 與非同步流程、權限與資安、部署、成本估算、風險清單，以及 AI 時代的實際開發時程規劃。
One operator, five workflows that replace a patchwork of tools.
Build a bilingual digital-product or productized-service system covering offer validation, a seven-day build plan, payment and delivery, client intake, content repurposing, launch copy, tracking, and measurable experiments.
Your product is great but the business never adds up and cash keeps leaking. Assemble the pieces into one money-making system: a value proposition that splits who pays from who uses, a revenue-model choice (subscription / usage / take-rate / ads / licensing), a cost structure, channels and relationships, and a consistency stress test that finds where the pieces fight and which assumption is most fatal — ending in a business model canvas and a clear narrative.
Turn any product or technology idea into a feasibility-checked prototype plan with architecture, BOM, budget, build stages, validation tests, risks, and an upgrade roadmap.
幫你把一個專案、合作、產品點子或機會，依需求證據、驗證速度、投入成本、可逆性、策略吻合度與下行風險，做成 GO、TEST、DEFER 或 STOP 的明確判斷，並附上一個 72 小時內可驗證的下一步。
30/60/90-day plans, a 45-item first-week checklist, buddy/mentor ops, weekly 1:1 question lists, and 7 onboarding failure patterns with fixes. Table-based Markdown you paste straight into Notion or your team wiki.