{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github-nextlevelbuilder--ui-ux-pro-max-skill","slug":"nextlevelbuilder--ui-ux-pro-max-skill","name":"ui-ux-pro-max-skill","type":"skill","url":"https://www.uupm.cc/","page_url":"https://unfragile.ai/nextlevelbuilder--ui-ux-pro-max-skill","categories":["app-builders"],"tags":["ai-skills","antigravity","claude","claude-code","codex","command-line","copilot","cursor-ai","html5","kiro","landing-page","mobile-ui","qoder","react","tailwindcss","trae","ui-design","uikit","windsurf-ai"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github-nextlevelbuilder--ui-ux-pro-max-skill__cap_0","uri":"capability://search.retrieval.bm25.based.design.resource.search.with.domain.auto.detection","name":"bm25-based design resource search with domain auto-detection","description":"Implements a BM25 ranking algorithm in core.py that searches across 344+ design resources stored in CSV databases covering 10 domains (styles, colors, typography, landing patterns, charts, UX guidelines, icons, products, reasoning rules) and 16 technology stacks. The search engine automatically detects the user's design domain context and filters results by stack-specific guidelines, returning ranked design recommendations that match both semantic intent and technical constraints.","intents":["Find color palettes and typography systems matching my tech stack","Search for UI patterns relevant to my design domain without manual filtering","Get stack-specific design guidelines when building components","Discover landing page patterns for my target platform"],"best_for":["AI coding assistants (Claude, Cursor, Windsurf) generating UI code","Teams building multi-platform UI systems with consistent design","Developers needing design intelligence without manual research"],"limitations":["BM25 ranking may miss semantic nuances in design intent — requires clear domain context for optimal results","Search results limited to 344 pre-curated resources — custom design systems require manual extension","Stack-specific filtering assumes predefined platform configurations — new stacks need manual configuration addition"],"requires":["Python 3.9+ for core.py execution","CSV database files in expected directory structure","Domain context provided by AI assistant or user query"],"input_types":["natural language query (e.g., 'modern dashboard colors for React')","domain identifier (e.g., 'landing-page', 'chart', 'icon')","technology stack name (e.g., 'React', 'Vue', 'Tailwind')"],"output_types":["ranked list of design resources with metadata","stack-specific implementation guidelines","color codes, typography specs, component patterns"],"categories":["search-retrieval","design-intelligence"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-nextlevelbuilder--ui-ux-pro-max-skill__cap_1","uri":"capability://code.generation.editing.multi.domain.design.system.synthesis.with.master.overrides.pattern","name":"multi-domain design system synthesis with master + overrides pattern","description":"The design_system.py reasoning engine performs sequential multi-domain searches (colors, typography, patterns, guidelines) and synthesizes complete design systems using a Master + Overrides architectural pattern. This pattern defines a master design configuration that can be selectively overridden per platform or component, enabling consistent design systems across 18+ AI platforms while maintaining platform-specific customizations without duplication.","intents":["Generate a complete design system (colors, fonts, spacing, components) from a single request","Create platform-specific design overrides without redefining the entire system","Ensure design consistency across multiple AI coding assistants and platforms","Synthesize design decisions from multiple domains into coherent output"],"best_for":["Teams building design systems for multi-platform deployment","AI coding assistants generating complete UI scaffolds","Organizations needing consistent design across Claude, Cursor, Windsurf, and other platforms"],"limitations":["Master + Overrides pattern requires upfront definition of master configuration — complex for highly heterogeneous designs","Synthesis engine assumes domains are independent — interdependent design decisions (e.g., color affecting typography contrast) may require manual refinement","No built-in conflict resolution when overrides contradict master — requires manual review"],"requires":["Python 3.9+ for design_system.py execution","CSV design databases indexed and accessible","BM25 search engine initialized for multi-domain queries"],"input_types":["design system name or identifier","target platforms/stacks (e.g., 'React', 'Vue', 'Tailwind')","design domains to synthesize (colors, typography, patterns, guidelines)","master configuration template (optional)"],"output_types":["complete design system JSON/YAML with master configuration","platform-specific override files","design tokens and component specifications","implementation guidelines per platform"],"categories":["code-generation-editing","design-intelligence"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-nextlevelbuilder--ui-ux-pro-max-skill__cap_10","uri":"capability://tool.use.integration.claude.marketplace.plugin.integration.with.automatic.activation","name":"claude marketplace plugin integration with automatic activation","description":"The system integrates with Claude Marketplace through a .claude-plugin/ directory structure that enables direct plugin installation for Claude Code users. The skill.json manifest declares capabilities and activation triggers, allowing the plugin to activate automatically when users request UI/UX work within Claude, with design resources and reasoning engine accessible through Claude's native function-calling interface.","intents":["Install UI/UX Pro Max directly into Claude Code without external tools","Activate design intelligence automatically when I request UI/UX work in Claude","Access design resources through Claude's native interface","Use design system generation within Claude conversations"],"best_for":["Claude Code users wanting native design intelligence","Teams standardizing on Claude for AI-assisted development","Organizations preferring integrated tools over external plugins"],"limitations":["Claude Marketplace integration is Claude-specific — no portability to other AI platforms","Plugin activation depends on Claude's implementation — may not support all skill features","No offline access — requires Claude API connectivity","Plugin updates require Claude Marketplace approval — slower release cycle than direct distribution"],"requires":["Claude Code access (paid subscription)","Claude Marketplace plugin installation capability","skill.json manifest with proper capability declarations"],"input_types":["Claude conversation context","natural language UI/UX requests","code context from Claude editor"],"output_types":["design recommendations in Claude chat","generated design system code","implementation guidelines"],"categories":["tool-use-integration","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-nextlevelbuilder--ui-ux-pro-max-skill__cap_11","uri":"capability://safety.moderation.pre.delivery.design.checklist.generation.and.validation","name":"pre-delivery design checklist generation and validation","description":"The system includes a pre-delivery checklist capability that validates generated designs against accessibility, performance, and consistency standards before delivery to users. The checklist is generated from reasoning rules and stack-specific guidelines, checking for common issues (color contrast, responsive design, component naming, design token usage) and providing actionable feedback for remediation.","intents":["Validate generated designs against accessibility and performance standards","Catch common design mistakes before delivery to users","Ensure designs follow team standards and best practices","Generate remediation recommendations for design issues"],"best_for":["Teams with strict design quality standards","Organizations requiring accessibility compliance","Projects with performance-sensitive requirements","Developers wanting automated design review"],"limitations":["Checklist validation is rule-based — cannot catch subjective design issues or creative problems","Validation assumes standard design patterns — custom or experimental designs may trigger false positives","No visual validation — cannot detect layout issues or visual hierarchy problems","Remediation recommendations are generic — may not apply to specific design context"],"requires":["Reasoning rules database with validation rules","Stack-specific guidelines for validation","Generated design system or component specifications"],"input_types":["design system or component specification","target platform/stack","optional custom validation rules"],"output_types":["validation report with pass/fail status","list of identified issues with severity","remediation recommendations per issue","compliance summary"],"categories":["safety-moderation","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-nextlevelbuilder--ui-ux-pro-max-skill__cap_2","uri":"capability://automation.workflow.ai.platform.auto.detection.and.template.generation","name":"ai platform auto-detection and template generation","description":"The CLI tool's detectAIType() function in detect.ts identifies the user's AI coding assistant environment (Claude, Cursor, Windsurf, Copilot, etc.) by analyzing file system markers, environment variables, and configuration files. Once detected, the template generation system in template.ts automatically generates platform-specific configuration files from JSON templates (augment.json, kilocode.json, warp.json), enabling zero-configuration installation across 18+ supported platforms.","intents":["Install UI/UX Pro Max with zero manual configuration by auto-detecting my AI platform","Generate platform-specific skill/workflow files without manual editing","Ensure compatibility with my specific AI coding assistant version","Activate design intelligence automatically when I request UI/UX work"],"best_for":["Solo developers using single AI platform who want instant setup","Teams deploying UI/UX Pro Max across multiple AI assistants","Non-technical users who need design intelligence without configuration"],"limitations":["Detection relies on file system markers — may fail in containerized or non-standard environments","Template generation assumes platform-specific file structures — custom AI platforms require manual template creation","No fallback detection if primary markers are missing — requires manual platform specification as workaround"],"requires":["Node.js 18+ for CLI execution","npm or yarn package manager","Access to AI platform configuration directories (e.g., ~/.claude, ~/.cursor)","Write permissions to platform-specific directories"],"input_types":["file system environment (auto-detected)","optional platform override flag (--platform=claude)"],"output_types":["platform-specific configuration files (skill.json, workflow.json)","installation status report","verification checklist"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-nextlevelbuilder--ui-ux-pro-max-skill__cap_3","uri":"capability://code.generation.editing.stack.specific.design.guideline.filtering.and.application","name":"stack-specific design guideline filtering and application","description":"The system maintains stack-specific guideline configurations that filter and customize design recommendations based on technology stack (React, Vue, Tailwind, HTML5, etc.). When a user requests UI/UX work, the skill automatically detects the target stack from code context or user input, then filters design resources and applies stack-specific guidelines from the CSV database, ensuring generated designs follow framework conventions and best practices.","intents":["Get design recommendations that follow React/Vue/Svelte conventions automatically","Ensure generated components use framework-specific patterns and APIs","Apply Tailwind-specific color and spacing conventions without manual specification","Avoid design anti-patterns for my specific technology stack"],"best_for":["Teams standardizing on specific tech stacks (React + Tailwind, Vue + UnoCSS)","Developers building framework-specific component libraries","Organizations enforcing design consistency across multiple projects"],"limitations":["Guidelines are static and pre-curated — emerging frameworks or custom stacks require manual guideline addition","Stack detection relies on code analysis — may fail with ambiguous or mixed-stack projects","Guidelines assume best practices at time of curation — may become outdated as frameworks evolve"],"requires":["CSV database with stack-specific guideline entries","Code context or explicit stack declaration","BM25 search engine with stack filtering capability"],"input_types":["technology stack identifier (e.g., 'react-tailwind', 'vue-unocss')","design domain (colors, typography, components)","optional code context for auto-detection"],"output_types":["filtered design resources matching stack conventions","stack-specific implementation code snippets","framework-specific best practices and anti-patterns"],"categories":["code-generation-editing","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-nextlevelbuilder--ui-ux-pro-max-skill__cap_4","uri":"capability://data.processing.analysis.csv.based.design.resource.persistence.and.versioning","name":"csv-based design resource persistence and versioning","description":"The system stores 344+ design resources in CSV format across 10 domain-specific files (colors.csv, typography.csv, patterns.csv, etc.), with a source-of-truth synchronization pattern that maintains consistency between CLI templates and skill definitions. Each CSV row contains design metadata (name, description, stack, domain, implementation code) and is indexed for BM25 search, enabling version control, offline access, and collaborative design database management without requiring a backend database.","intents":["Maintain a version-controlled design resource library in Git","Share design resources across team members without database infrastructure","Add custom design resources by editing CSV files directly","Ensure design consistency across multiple AI assistant installations"],"best_for":["Teams using Git for design system version control","Organizations without database infrastructure or DevOps resources","Open-source projects needing collaborative design resource management","Developers preferring human-readable design data formats"],"limitations":["CSV format lacks schema validation — malformed rows can break search indexing","No built-in conflict resolution for concurrent CSV edits — requires manual merge for team collaboration","Search indexing requires full CSV reload — large databases (1000+ rows) may cause latency","No query optimization — complex searches across multiple CSVs require sequential scans"],"requires":["CSV files in expected directory structure","Python 3.9+ for CSV parsing and indexing","Git for version control (optional but recommended)","Text editor for manual CSV editing"],"input_types":["CSV files with design resource metadata","domain identifier (colors, typography, patterns, etc.)","stack identifier (React, Vue, Tailwind, etc.)"],"output_types":["indexed design resources in memory","BM25-ranked search results","design resource metadata and implementation code"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-nextlevelbuilder--ui-ux-pro-max-skill__cap_5","uri":"capability://tool.use.integration.multi.platform.skill.workflow.installation.and.activation","name":"multi-platform skill/workflow installation and activation","description":"The CLI tool orchestrates installation across 18+ AI platforms (Claude, Cursor, Windsurf, Copilot, Augment, Kiro, Qoder, Trae, etc.) by generating platform-specific skill or workflow files from templates and placing them in platform-specific directories. The skill.json manifest defines activation triggers and capabilities, enabling automatic activation when users request UI/UX work, with platform-specific behavior controlled through configuration overrides.","intents":["Install design intelligence into multiple AI assistants from a single command","Ensure UI/UX Pro Max activates automatically when I request design work","Manage skill versions and updates across all my AI platforms","Verify successful installation and troubleshoot platform-specific issues"],"best_for":["Teams using multiple AI coding assistants (Claude + Cursor + Windsurf)","Organizations standardizing design intelligence across developer tools","Developers wanting design assistance in their preferred AI platform"],"limitations":["Platform-specific file structures change with AI assistant updates — installation may break after major version upgrades","Skill activation depends on platform implementation — some platforms may not support automatic activation triggers","No built-in update mechanism — manual reinstallation required when design resources change","Platform-specific capabilities vary — some platforms may not support all skill features"],"requires":["Node.js 18+ for CLI execution","npm or yarn package manager","Target AI platform installed and configured","Write permissions to platform configuration directories"],"input_types":["target platform name (auto-detected or specified)","optional platform-specific configuration overrides"],"output_types":["platform-specific skill/workflow files","installation verification report","activation status per platform"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-nextlevelbuilder--ui-ux-pro-max-skill__cap_6","uri":"capability://planning.reasoning.reasoning.rules.engine.for.design.decision.synthesis","name":"reasoning rules engine for design decision synthesis","description":"The system includes a reasoning rules database (stored in CSV) that encodes design decision logic for common UI/UX scenarios (e.g., 'use high contrast colors for accessibility', 'prefer sans-serif for body text on screens'). The design_system.py engine applies these rules during synthesis to ensure generated designs follow established design principles, with rules indexed by domain and stack to enable context-aware reasoning.","intents":["Ensure generated designs follow accessibility and usability best practices automatically","Apply design principles (contrast, hierarchy, consistency) without manual specification","Avoid common design mistakes through rule-based validation","Synthesize design decisions that respect multiple constraints (accessibility, performance, brand)"],"best_for":["Teams building accessible and inclusive UI systems","Organizations enforcing design standards across projects","Developers without formal design training who need design guidance"],"limitations":["Reasoning rules are static and pre-curated — emerging design trends or domain-specific rules require manual addition","Rules assume best practices at time of curation — may conflict with modern design trends or brand guidelines","No conflict resolution when rules contradict each other — requires manual review and prioritization","Rule application is deterministic — cannot handle subjective design decisions or creative exploration"],"requires":["CSV file with reasoning rules indexed by domain and stack","Design system synthesis engine to apply rules","Design resource database for rule implementation"],"input_types":["design domain (colors, typography, accessibility, etc.)","technology stack","design constraints or requirements"],"output_types":["design decisions justified by reasoning rules","accessibility and usability validation results","design principle explanations"],"categories":["planning-reasoning","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-nextlevelbuilder--ui-ux-pro-max-skill__cap_7","uri":"capability://code.generation.editing.platform.specific.template.generation.from.json.schemas","name":"platform-specific template generation from json schemas","description":"The template.ts utility generates platform-specific configuration files (skill.json, workflow.json, augment.json, kilocode.json, warp.json) from parameterized JSON schema templates. Each template defines platform-specific file structure, activation triggers, and capability declarations, with variables substituted at generation time based on detected platform and user configuration, enabling single-source-of-truth template management.","intents":["Generate platform-specific skill files without manual editing","Ensure generated files match platform requirements and conventions","Update all platform files from a single template change","Support new AI platforms by adding new template files"],"best_for":["Teams managing installations across multiple AI platforms","Developers adding support for new AI platforms","Organizations needing consistent skill configuration across platforms"],"limitations":["Template system assumes platform file structures are stable — breaking changes in platform APIs require template updates","Variable substitution is simple string replacement — complex conditional logic requires template duplication","No validation of generated files against platform schemas — malformed files may fail silently at installation time","Template maintenance burden increases with each new platform supported"],"requires":["JSON template files in cli/assets/templates/platforms/","Node.js 18+ for template processing","Platform-specific file structure knowledge"],"input_types":["JSON template file","platform identifier","configuration variables (name, version, capabilities)"],"output_types":["platform-specific configuration file (skill.json, workflow.json, etc.)","file path for installation"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-nextlevelbuilder--ui-ux-pro-max-skill__cap_8","uri":"capability://data.processing.analysis.codebase.context.extraction.for.design.domain.detection","name":"codebase context extraction for design domain detection","description":"The extract.ts utility analyzes user codebase files (package.json, tsconfig.json, component files) to automatically detect technology stack and design domain context. It parses dependency declarations, file structure, and code patterns to infer whether the user is building a landing page, dashboard, mobile app, or other design domain, enabling automatic activation of domain-specific design resources without explicit user specification.","intents":["Automatically detect my tech stack and design domain from my codebase","Activate domain-specific design resources without manual configuration","Infer design context from existing code patterns and dependencies","Ensure design recommendations match my actual project structure"],"best_for":["Developers working in existing codebases with established patterns","Teams with consistent tech stack across projects","Users wanting zero-configuration design intelligence"],"limitations":["Context extraction relies on file system analysis — fails in new projects without established structure","Stack detection assumes standard dependency declarations — custom or monorepo setups may be misdetected","Domain detection uses heuristics — ambiguous projects may be assigned incorrect domain","No support for non-standard project structures or custom frameworks"],"requires":["Node.js 18+ for file system analysis","package.json or equivalent dependency manifest","Read access to project files"],"input_types":["project root directory path","optional explicit stack/domain override"],"output_types":["detected technology stack (React, Vue, etc.)","detected design domain (landing-page, dashboard, etc.)","confidence scores for detections"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-nextlevelbuilder--ui-ux-pro-max-skill__cap_9","uri":"capability://automation.workflow.github.based.distribution.and.release.management","name":"github-based distribution and release management","description":"The github.ts utility manages distribution of UI/UX Pro Max through GitHub Releases, enabling users to download source archives (.zip) for offline installation or manual deployment. The system maintains release artifacts with version tags, enabling version pinning and rollback capabilities, with automated release workflows that package CLI and skill assets together.","intents":["Download UI/UX Pro Max for offline installation without npm","Pin specific versions for reproducible team deployments","Distribute design resources through GitHub without external infrastructure","Manage version history and rollback to previous releases"],"best_for":["Teams with restricted internet access or offline environments","Organizations requiring version pinning for compliance","Developers preferring GitHub-based distribution over npm","Projects with custom deployment pipelines"],"limitations":["GitHub API rate limits may throttle downloads for large teams","Release artifacts are static — no automatic updates without manual re-download","No built-in dependency resolution — users must manually manage transitive dependencies","Archive extraction requires manual file placement — no automated installation"],"requires":["GitHub account with repository access","Git or zip extraction tool","Network access to GitHub (or pre-downloaded archives)"],"input_types":["release version tag (e.g., 'v1.0.0')","optional asset filter (CLI, skill, docs)"],"output_types":["downloadable .zip archive","release notes and changelog","asset checksums for verification"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":36,"verified":false,"data_access_risk":"high","permissions":["Python 3.9+ for core.py execution","CSV database files in expected directory structure","Domain context provided by AI assistant or user query","Python 3.9+ for design_system.py execution","CSV design databases indexed and accessible","BM25 search engine initialized for multi-domain queries","Claude Code access (paid subscription)","Claude Marketplace plugin installation capability","skill.json manifest with proper capability declarations","Reasoning rules database with validation rules"],"failure_modes":["BM25 ranking may miss semantic nuances in design intent — requires clear domain context for optimal results","Search results limited to 344 pre-curated resources — custom design systems require manual extension","Stack-specific filtering assumes predefined platform configurations — new stacks need manual configuration addition","Master + Overrides pattern requires upfront definition of master configuration — complex for highly heterogeneous designs","Synthesis engine assumes domains are independent — interdependent design decisions (e.g., color affecting typography contrast) may require manual refinement","No built-in conflict resolution when overrides contradict master — requires manual review","Claude Marketplace integration is Claude-specific — no portability to other AI platforms","Plugin activation depends on Claude's implementation — may not support all skill features","No offline access — requires Claude API connectivity","Plugin updates require Claude Marketplace approval — slower release cycle than direct distribution","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.44944414586517123,"quality":0.34,"ecosystem":0.6000000000000001,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.15,"quality":0.25,"ecosystem":0.1,"match_graph":0.45,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:22.062Z","last_scraped_at":"2026-05-03T13:58:39.623Z","last_commit":"2026-04-03T05:08:19Z"},"community":{"stars":73476,"forks":7583,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=nextlevelbuilder--ui-ux-pro-max-skill","compare_url":"https://unfragile.ai/compare?artifact=nextlevelbuilder--ui-ux-pro-max-skill"}},"signature":"ENFTnoJh0P+paFNWJLMCRDLQA6DWRdTP6McPNrP6eAyJ4gTlxE0kZYe6zuyH+aPEL6Tk3ff6sV/CJgT6Chd2Aw==","signedAt":"2026-06-21T23:45:18.756Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/nextlevelbuilder--ui-ux-pro-max-skill","artifact":"https://unfragile.ai/nextlevelbuilder--ui-ux-pro-max-skill","verify":"https://unfragile.ai/api/v1/verify?slug=nextlevelbuilder--ui-ux-pro-max-skill","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}