1. Hook: why so many products “look like a Frankenstein layout”
Many apps do not fail on one giant issue.
They fail on dozens of small inconsistencies.
Different spacing on every screen.
Different button states.
Weak content hierarchy.
Mobile “sort of works”, but conversion drops.
At three screens you can wing it.
At thirty screens you get release-slowing chaos.
2. Introduction: what UI UX Pro Max Skill is — and why it is not “just another UI generator”
UI UX Pro Max Skill behaves more like a design decision engine than a layout generator.
In practice you get:
- searchable UI/UX rules across domains (style, UX, colour, typography, charts),
- a reasoning layer (industry-specific rules),
- quality checklists before shipping,
- a “Master + page overrides” workflow for design systems.
That distinction matters.
A generator can output a pretty screen once.
This skill helps you keep quality consistent across the whole product.
3. What UI UX Pro Max Skill is (based on the repo)
In nextlevelbuilder/ui-ux-pro-max-skill three pieces matter:
Search and recommendation engine
core.pyranks CSV rows with BM25.search.pysupports:
- domain mode (--domain),
- stack-specific mode (--stack),
- full design-system mode (--design-system).
Knowledge and rules
- Data lives in CSV files (
data/*.csv): styles, palettes, typography, UX guidelines, industry reasoning (ui-reasoning.csv). - Rules map to product categories and return page patterns, style priorities, colour direction, and anti-patterns to avoid.
AI agent integration
- Install via CLI:
uipro init --ai <platform>. - Templates exist for multiple assistants, including Codex and Claude.
- After install, the agent gets instructions plus local scripts to run audits.
4. Why most projects struggle with UI/UX
The problem is rarely “no talent” — it is no system.
Typical pattern:
- decisions under sprint pressure without a single UI source of truth,
- reviews focused on functional bugs, not experience quality,
- new features stacked without re-balancing hierarchy and flows.
Business outcomes:
- higher change cost,
- slower releases,
- weaker conversion,
- weaker first impressions in demos and sales.
5. How to run a full audit with this skill (step by step)
Repeatable process for a real product.
Step 1: Install the skill in the project
npm install -g uipro-cli
uipro init --ai codex
Use --ai claude if you work in Claude Code.
Step 2: Generate a design-system baseline
python .codex/skills/ui-ux-pro-max/scripts/search.py "saas b2b dashboard" --design-system --persist -f markdown -p "YourProduct"
Creates design-system/<project>/MASTER.md — your single source of design decisions.
Step 3: Inventory components and screens
List:
- every button variant,
- forms and validation states,
- cards, tables, navigation,
- critical flows: onboarding, checkout, activation, upgrade.
Without inventory, audits become random “nice tweaks”.
Step 4: Layered audit queries
Run domain queries and map them to real screens:
python .codex/skills/ui-ux-pro-max/scripts/search.py "accessibility mobile navigation" --domain ux -n 5
python .codex/skills/ui-ux-pro-max/scripts/search.py "spacing typography hierarchy" --domain style -n 5
python .codex/skills/ui-ux-pro-max/scripts/search.py "contrast semantic colors" --domain color -n 5
python .codex/skills/ui-ux-pro-max/scripts/search.py "form validation errors" --stack nextjs -n 5
Check:
- information hierarchy,
- spacing and rhythm,
- typography and contrast,
- interaction states (hover, focus, disabled, loading),
- UX flow clarity,
- mobile and accessibility,
- anti-patterns (motion without purpose).
Step 5: Prioritise
Tag every issue:
P0— blocks usage or conversion,P1— hurts UX but not blocking,P2— polish and visual consistency.
For each item add: screen, rule, fix, success metric.
6. From audit to implementation
Biggest post-audit mistake: trying to fix everything at once.
Better: three waves.
Wave 1: quick wins (1–3 days)
- fix contrast and focus states,
- unify primary/secondary buttons,
- fix forms (label + error + loading),
- clear the worst mobile issues.
Wave 2: components and tokens (one sprint)
- introduce colour and spacing tokens,
- align components on shared variants,
- standardise motion timing and interaction states.
Wave 3: system hardening (ongoing)
- every new screen is checked against
MASTER.md, - exceptions live in
pages/<page>.md, - PR review includes a UX section — not only logic and tests.
7. Using this inside an AI pipeline
The skill works best as part of a multi-agent process.
Example split:
Research agent
- maps the repo and current UI code,
- inventories components and flows,
- drafts the issue list.
Audit agent
- runs
--design-system,--domain,--stackqueries, - maps issues to rules,
- builds the P0/P1/P2 backlog.
UI fix agent
- ships component-level fixes,
- enforces consistency with
MASTER.md, - documents per-page overrides.
Validation agent
- checks regressions (mobile, accessibility, flows),
- confirms metric movement (conversion, task success, task time).
8. A practical real-world workflow
- Drop the project into analysis.
- Generate the design-system baseline.
- Receive a prioritised issue list.
- Ship quick wins and component refactors.
- Validate before deploy.
- Ship and measure.
Cross-links to related REL8 content:
- How we built an AI pipeline for articles,
- Firecrawl — web scraping for AI (Polish deep-dive),
- Agentic developer tooling comparison (Polish deep-dive).
UI audit backlog view with P0/P1/P2 priorities and quick-win status
9. Common mistakes
The expensive ones:
- blind UI generation without rules or audit,
- “make it prettier” tweaks without system decisions,
- no owner for UI/UX quality after launch.
If the design system is not enforced in day-to-day development, the problem returns within a few sprints.
What you can implement today
- Generate
MASTER.mdfor your product and treat it as a team contract. - Pick the five highest-traffic screens and run a P0/P1 audit.
- Unify three critical components: button, input, card.
- Add a UX/a11y checklist to your Definition of Done.
Small scope, fast visible impact.
What you can gain
Treat numbers as directional benchmarks; outcomes depend on industry, inputs, and execution.
Typical wins:
- faster shipping for new screens because decisions are pre-made,
- fewer UI regressions per release,
- better conversion on critical screens (onboarding, demo, checkout).
For founders and PMs, the shift is simple: UI stops being a subjective debate and becomes a measurable process.
10. Summary
UI UX Pro Max Skill changes how teams work by moving from “let’s make something pretty” to “let’s make consistent design decisions on purpose.”
It fits SaaS especially well — fast product growth, and every inconsistent screen taxes the next sprint.
If you build with AI, treat this skill as a quality layer between idea and implementation — not a gadget.