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mag123c

vs-design

by mag123c

0🍴 0📅 Jan 25, 2026

SKILL.md


name: vs-design description: High-quality UI design. Mode Collapse prevention, Low-Typicality selection. Use for component, page, dashboard design.

VS Design Diverge (Meeting Context Hub)

Phase 0: Context Discovery (MANDATORY)

Explore following dimensions via AskUserQuestion:

  1. Emotional Tone: Trust? Edgy? Calm?
  2. Target Audience: Who uses it? Technical level?
  3. Reference/Anti-Reference: What to reference, what to avoid
  4. Business Context: What problem to solve?

Phase 1: Identify the Mode (Generic Baseline)

State the most predictable (P~0.95) design. This is NOT to be selected.

Meeting Context Hub default patterns (AI-slop):

  • Inter font, purple gradient
  • F-pattern layout, white background
  • 8px border-radius uniformly

Phase 2: Sample the Long-Tail (3 Directions)

DirectionT-ScoreDescription
A~0.7Modern/Clean but safe
B~0.4Distinctive/Characterful
C<0.2Experimental/Bold

T-Score justification required for each direction.

Phase 3: Commit to Low-Typicality

Select lowest T-Score that satisfies Quality Guardrails:

  • Visual Hierarchy
  • Contrast & Legibility (WCAG AA)
  • Internal Consistency
  • Functional Clarity

Meeting Context Hub Design Tone

Professional + Calm + Organized

  • Keywords: Productivity, team collaboration, information organization
  • Colors: Neutral tones (slate, zinc) + accents (blue, green)
  • Typography: JetBrains Mono (code), Pretendard (body)

Domain Components

ComponentAesthetic Direction
MeetingCardTag badges, date meta
PRDSummaryProblem/Goal/Scope sections
ActionItemListCheckboxes, assignee avatars
TagSelectorChip style, autocomplete
ContextTimelineTimeline/grid toggle

Final Validation

  1. Intentionality: Can all decisions be justified?
  2. Consistency: Internal logic consistent?
  3. Guardrails: Hierarchy/legibility/clarity?
  4. Surprise: Stands out in AI-generated lineup?

Score

Total Score

60/100

Based on repository quality metrics

SKILL.md

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