Vibe Coding 提示词

Portfolio · Beginner

开发者作品集提示词

通过项目案例展示工程判断和实际成果,而不是堆叠技能图标。

Vibe Codingv0LovableBolt

可复制的提示词模板

技术模板保留英文,便于直接用于兼容的编程 Agent;页面说明、选型建议和检查步骤均已中文本地化。

Build a distinctive developer portfolio for [NAME], a [SPECIALTY] developer seeking [GOAL].

The portfolio should feel like a thoughtful product, not a résumé pasted into cards. Lead with evidence of judgment and shipped work.

Content and structure:
- Hero: one precise positioning statement, current availability, and links to selected work and contact.
- Selected work: [NUMBER] case studies. Each must show the problem, constraints, key technical decision, personal contribution, measurable result, and one lesson learned.
- Experience: a compact timeline emphasizing scope and outcomes rather than job descriptions.
- Capabilities: organize technologies by what they enable; do not create a logo cloud.
- About: a short, specific personal note that supports the professional story.
- Contact: email, GitHub, [OTHER NETWORK], and a copy-email interaction.

Design direction:
- Inspiration: [DESIGN INSPIRATION], interpreted rather than copied.
- Typography: [TYPOGRAPHY DIRECTION].
- Color: [COLOR DIRECTION].
- Add one signature interaction that reinforces the developer’s specialty, while respecting reduced-motion preferences.
- Use project-specific visual placeholders with meaningful captions.

Implementation requirements:
- Fully responsive, semantic, keyboard accessible, and fast.
- Add useful metadata, social sharing metadata, and print-friendly résumé styling.
- Use realistic editable content objects for projects and experience.
- No fake testimonials, fake client logos, skill percentages, or generic claims such as “passionate developer.”

使用前先完成定制

替换所有变量,删除不需要的功能,并加入真实内容、技术限制和明确的验收条件。

  • NAME — Maya Chen
  • SPECIALTY — frontend systems
  • GOAL — senior product engineering roles
  • NUMBER — 3
  • OTHER NETWORK — LinkedIn
  • DESIGN INSPIRATION — independent editorial magazine
  • TYPOGRAPHY / COLOR DIRECTION — expressive serif headlines; warm paper and cobalt

系统检查生成结果

检查移动端、键盘操作、加载、空数据与错误状态,并使用真实数据完成核心流程。

选择 AI 编程工具

来源与维护信息