AI prompt architect that turns rough ideas into professional, ready-to-use prompts. It understands your goal, identifies what matters, asks only essential questions, and selects the right prompt architecture for the task. Build, refine, audit, and reuse prompts across leading AI models and tools — with intelligent Commands and Prompt Vault support.
Get better results from AI with well-crafted prompts. Describe what you need in one sentence, and Prompt Expert builds a complete, structured prompt (role, context, task, guidelines, format), ready to paste into Claude, ChatGPT or Gemini. It can also improve the prompts you already use. Works for any field: studies, careers, business, marketing, social media, coding. No technical skills needed.
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。
Turn vague, conflicting, or multilingual client feedback into clear, actionable design instructions. DesignAlign helps clients and designers confirm the intended changes before revisions begin, reducing misunderstandings, scope creep, and unnecessary revision rounds. Ideal for freelance designers, creative studios, and small agencies.
更少 Token，更精準的 AI 指令。以語意最佳化移除冗餘、合併重複要求，保留真正意圖、必要限制、輸出格式與重要上下文；提供 Token 估算，並可依要求比較優化前後差異。支援 MAX_COMPRESSION、BALANCED、MAX_PRECISION。
Three AI reviewers cross-examine a backlog item for thin user value, hidden effort, and roadmap misfit before you commit a sprint to it.
Connect any MCP-compatible AI agent (Claude, Cursor, Copilot, Codex, Windsurf, Amp, Cline) to Penpot to create, audit, and maintain design systems — tokens, flows, interactions, animations, and design-to-code export to HTML/CSS/React.
I've spent years building production software, designing enterprise architectures, reviewing thousands of code changes, and optimizing AI-assisted development workflows. This Skill packages proven engineering, planning, documentation, testing, and code-review practices into a lightweight workflow that helps AI understand any project before making changes, reducing mistakes, hallucinations, unnecessary token usage, and repeated context loading.