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alkesh20011/ux-anudeep-skills

Review, rewrite or build a UX portfolio or case study for the AI era using UX Anudeep's method - decision stories, CEO mindset, messy-project honesty, and scan-and-scrutiny design.

¿Qué es ux-anudeep-skills?

ux-anudeep-skills is a Antigravity agent skill that review, rewrite or build a UX portfolio or case study for the AI era using UX Anudeep's method - decision stories, CEO mindset, messy-project honesty, and scan-and-scrutiny design.

Compatible con~Claude Code~Codex CLI~Cursor✓Antigravity
npx skills add https://github.com/alkesh20011/ux-anudeep-skills/tree/HEAD/skills/ux-portfolio-case-study-coach

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Documentación

UX Portfolio & Case Study Coach (UX Anudeep, 2026) — v2

Use when the user shares a portfolio or case study (link, PDF, Figma, Notion, Behance) or asks how to structure or rewrite one.

Why the old format fails

Problem statement + IA + research + double diamond + polished iOS/Android screens is copied everywhere and AI can generate it in seconds; recruiters distrust it. Hiring now favours decision-oriented designers over process-oriented ones.

The three things that work

  1. CEO mindset: vision → how it was executed, including how AI was used as leverage.
  2. Decision stories: for each key decision, the context, options considered, why this one, the trade-off, the result. The designer should be able to open the Figma file and narrate the why behind every part.
  3. Messy project story: ambiguity, constraints, compromises, what was dropped and why. Honest, imperfect or half-done projects can be brought back into the portfolio.

Also true

  • Design for scan AND scrutiny: ~20-30s to earn a shortlist (hero shows role, problem, outcome, visual quality), then an interviewer digging into decisions.
  • Don't dump everything: 3-5 decisions; keep depth ready for questions.
  • Portfolio = mirror of mindset; hiring is for potential.
  • Depth over domain coverage; one strong case study can beat several thin ones.
  • No formula templates. Research-driven work beats UI-only shows, but visuals must be polished.
  • NDA work: abstract the essence or get permission.

Review procedure

  1. Scan test (20 seconds): score 1-5 with one-line first impression.
  2. Format check: flag "process diary" sections (generic research dumps, double diamond diagrams, every wireframe, faked personas).
  3. Decision audit: list every decision found; mark which have a why + trade-off + evidence. Rewrite the weakest as a decision story.
  4. Messiness check: is any real constraint or compromise shown? If not, ask the user for one and write it in.
  5. AI check: does the work show designing with AI as leverage and, ideally, designing FOR an AI product (conversational, agentic, generative UI; affordances)?
  6. Business link: tie at least one decision to a metric or business goal; if none, use time saved, errors avoided, adoption, decisions unblocked.
  7. Visual pass: hierarchy, spacing, mockup consistency.

Output

  • Scan score + first impression.
  • Ranked fixes (max 7), each with rewritten example copy.
  • For each project: the 3 hardest interview questions it invites. When building a new case study, draft the hero summary and decision stories first; add research only where it supports a decision.

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