Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
AI skill for automated UI audits. Evaluate interfaces against proven UX principles for visual hierarchy, accessibility, cognitive load, navigation, and more. Based on Making UX Decisions by Tommy Geoco.
AI skill for automated UI audits. Evaluate interfaces against proven UX principles for visual hierarchy, accessibility, cognitive load, navigation, and more. Based on Making UX Decisions by Tommy Geoco.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Evaluate interfaces against proven UX principles. Based on Making UX Decisions by Tommy Geoco.
Making UI/UX design decisions under time pressure Evaluating design trade-offs with business context Choosing appropriate UI patterns for specific problems Reviewing designs for completeness and quality Structuring design thinking for new interfaces
Speed β Recklessness. Designing quickly is not automatically reckless. Recklessly designing quickly is reckless. The difference is intentionality.
Scaffolding β Rules you use to automate recurring decisions Decisioning β Process you use for making new decisions Crafting β Checklists you use for executing decisions
references/00-core-framework.md β 3 pillars, decisioning workflow, macro bets references/01-anchors.md β 7 foundational mindsets for design resilience references/02-information-scaffold.md β Psychology, economics, accessibility, defaults
references/10-checklist-new-interfaces.md β 6-step process for designing new interfaces references/11-checklist-fidelity.md β Component states, interactions, scalability, feedback references/12-checklist-visual-style.md β Spacing, color, elevation, typography, motion references/13-checklist-innovation.md β 5 levels of originality spectrum
references/20-patterns-chunking.md β Cards, tabs, accordions, pagination, carousels references/21-patterns-progressive-disclosure.md β Tooltips, popovers, drawers, modals references/22-patterns-cognitive-load.md β Steppers, wizards, minimalist nav, simplified forms references/23-patterns-visual-hierarchy.md β Typography, color, whitespace, size, proximity references/24-patterns-social-proof.md β Testimonials, UGC, badges, social integration references/25-patterns-feedback.md β Progress bars, notifications, validation, contextual help references/26-patterns-error-handling.md β Form validation, undo/redo, dialogs, autosave references/27-patterns-accessibility.md β Keyboard nav, ARIA, alt text, contrast, zoom references/28-patterns-personalization.md β Dashboards, adaptive content, preferences, l10n references/29-patterns-onboarding.md β Tours, contextual tips, tutorials, checklists references/30-patterns-information.md β Breadcrumbs, sitemaps, tagging, faceted search references/31-patterns-navigation.md β Priority nav, off-canvas, sticky, bottom nav
Read 00-core-framework.md for the decisioning workflow Identify if this is a recurring decision (use scaffold) or new decision (use process) Apply the 3-step weighing: institutional knowledge β user familiarity β research
Follow the 6-step checklist in 10-checklist-new-interfaces.md Reference relevant pattern files for specific UI components Use fidelity and visual style checklists to enhance quality
Identify the core problem (chunking, disclosure, cognitive load, etc.) Load the relevant pattern reference Evaluate benefits, use cases, psychological principles, and implementation guidelines
When facing a UI decision: 1. WEIGH INFORMATION ββ What does institutional knowledge say? (existing patterns, brand, tech constraints) ββ What are users familiar with? (conventions, competitor patterns) ββ What does research say? (user testing, analytics, studies) 2. NARROW OPTIONS ββ Eliminate what conflicts with constraints ββ Prioritize what aligns with macro bets ββ Choose based on JTBD support 3. EXECUTE ββ Apply relevant checklist + patterns
Companies win through one or more of: BetDescriptionDesign ImplicationVelocityFeatures to market fasterReuse patterns, find metaphors in other marketsEfficiencyManage waste betterDesign systems, reduce WIPAccuracyBe right more oftenStronger research, instrumentationInnovationDiscover untapped potentialNovel patterns, cross-domain inspiration Always align micro design bets with company macro bets.
A design decision is "good" when it: Supports the product's jobs-to-be-done Aligns with company macro bets Respects constraints (time, tech, team) Balances user familiarity with differentiation needs There is no universally correct UI solutionβonly contextually appropriate ones.
When asked to audit a design, generate a comprehensive report. Always include these sections:
Visual Hierarchy β Headings, CTAs, grouping, reading flow, type scale, color hierarchy, whitespace Visual Style β Spacing consistency, color usage, elevation/depth, typography, motion/animation Accessibility β Keyboard navigation, focus states, contrast ratios, screen reader support, touch targets
Navigation β For multi-page apps: wayfinding, breadcrumbs, menu structure, information architecture Usability β For interactive flows: discoverability, feedback, error handling, cognitive load Onboarding β For new user experiences: first-run, tutorials, progressive disclosure Social Proof β For landing/marketing pages: testimonials, trust signals, social integration Forms β For data entry: labels, validation, error messages, field types
{ "title": "Design Name β Screen/Flow", "project": "Project Name", "date": "YYYY-MM-DD", "figma_url": "optional", "screenshot_url": "optional - URL to screenshot", "macro_bets": [ { "category": "velocity|efficiency|accuracy|innovation", "description": "...", "alignment": "strong|moderate|weak" } ], "jtbd": [ { "user": "User Type", "situation": "context without 'When'", "motivation": "goal without 'I want to'", "outcome": "benefit without 'so I can'" } ], "visual_hierarchy": { "title": "Visual Hierarchy", "checks": [ { "label": "Check name", "status": "pass|warn|fail|na", "notes": "Details" } ] }, "visual_style": { ... }, "accessibility": { ... }, "priority_fixes": [ { "rank": 1, "title": "Fix title", "description": "What and why", "framework_reference": "XX-filename.md β Section Name" } ], "notes": "Optional overall observations" }
Visual Hierarchy: heading distinction, primary action clarity, grouping/proximity, reading flow, type scale, color hierarchy, whitespace usage, visual weight balance Visual Style: spacing consistency, color palette adherence, elevation/shadows, typography system, border/radius consistency, icon style, motion principles Accessibility: keyboard operability, visible focus, color contrast (4.5:1), touch targets (44px), alt text, semantic markup, reduced motion support Navigation: clear current location, predictable menu behavior, breadcrumb presence, search accessibility, mobile navigation pattern Usability: feature discoverability, feedback on actions, error prevention, recovery options, cognitive load management, loading states
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.