{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github-rockbenben--chatgpt-shortcut","slug":"rockbenben--chatgpt-shortcut","name":"ChatGPT-Shortcut","type":"prompt","url":"https://www.aishort.top/en","page_url":"https://unfragile.ai/rockbenben--chatgpt-shortcut","categories":["prompt-engineering"],"tags":["ai","ai-tools","chatgpt","chatgpt-prompts","gpt","llm","openai","productivity","prompt","prompt-engineering","prompts"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github-rockbenben--chatgpt-shortcut__cap_0","uri":"capability://search.retrieval.multilingual.prompt.catalog.discovery.and.filtering","name":"multilingual prompt catalog discovery and filtering","description":"Enables users to browse and filter a curated JSON-based prompt library across 13 languages (English, Chinese, Spanish, Arabic, Portuguese, etc.) using Docusaurus's built-in i18n system with client-side tag-based filtering. The system stores prompts as structured JSON objects with language-specific content, metadata, and category tags, allowing real-time filtering without backend queries. Filtering operates on prompt attributes like category, use-case, and difficulty level through React Context state management.","intents":["I need to find a prompt for a specific use case like content writing or code review","I want to browse prompts in my native language without language barriers","I need to filter prompts by category, difficulty, or application domain","I want to discover trending or highly-rated prompts in the community"],"best_for":["multilingual teams building LLM applications","non-technical users seeking pre-built prompts for ChatGPT/Claude","prompt engineers managing large prompt libraries across languages"],"limitations":["Client-side filtering only — no full-text search or semantic similarity matching","Prompt discovery limited to predefined categories and tags, not free-form search","No ranking by relevance or personalization based on user history","Static JSON catalog requires manual updates; no dynamic prompt ingestion"],"requires":["Modern web browser with JavaScript enabled","Internet connection to load Docusaurus static site","No API key or authentication required for browsing"],"input_types":["filter parameters (category, tags, language)","search terms (if implemented)"],"output_types":["filtered prompt list with metadata","prompt detail view with full text and instructions"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-rockbenben--chatgpt-shortcut__cap_1","uri":"capability://memory.knowledge.prompt.customization.and.personal.prompt.library.management","name":"prompt customization and personal prompt library management","description":"Allows users to create, edit, save, and organize custom prompts in a personal library using React Context API for state management and browser LocalStorage for persistence. Users can fork existing prompts from the catalog, modify them, and save them locally without backend infrastructure. The system maintains a User context that tracks favorites, custom prompts, and user preferences, with data persisted across browser sessions via LocalStorage.","intents":["I want to save my favorite prompts from the catalog for quick access","I need to create and store my own custom prompts tailored to my workflow","I want to fork an existing prompt and modify it for my specific use case","I need to organize my prompts into collections or categories"],"best_for":["individual developers and content creators building personal prompt workflows","teams prototyping LLM applications with custom prompt variations","non-technical users managing a personal prompt library"],"limitations":["LocalStorage persistence limited to ~5-10MB per browser, no cloud sync","No collaborative editing or sharing of custom prompts between users","Data loss if browser cache is cleared or user switches devices","No version control or audit trail for prompt modifications","No backup or export functionality beyond manual copy-paste"],"requires":["Modern web browser with LocalStorage support","JavaScript enabled for React Context state management","No authentication required for local-only storage"],"input_types":["prompt text (string)","metadata (title, description, tags, category)","language selection"],"output_types":["saved prompt object with metadata","list of user's custom prompts","exported prompt JSON"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-rockbenben--chatgpt-shortcut__cap_10","uri":"capability://automation.workflow.responsive.ui.rendering.and.cross.device.compatibility","name":"responsive ui rendering and cross-device compatibility","description":"Renders ChatGPT-Shortcut as a responsive web application using Ant Design 5.x components and custom React components, ensuring usability across desktop, tablet, and mobile devices. The Docusaurus framework handles responsive layout through CSS media queries and flexible grid systems, while Ant Design provides pre-built responsive components. The UI adapts to different screen sizes without requiring separate mobile or tablet versions.","intents":["I want to access ChatGPT-Shortcut on my phone or tablet","I need the UI to adapt to different screen sizes","I want a consistent experience across devices","I need to use ChatGPT-Shortcut on a small screen while using ChatGPT"],"best_for":["mobile-first users accessing ChatGPT-Shortcut on phones","teams using ChatGPT-Shortcut across multiple devices","users with accessibility needs requiring responsive design"],"limitations":["Responsive design may not be fully optimized for very small screens (< 320px)","Ant Design components may have performance overhead on low-end mobile devices","No native mobile app; web app may feel less native than iOS/Android apps","Touch interactions may not be fully optimized for mobile (e.g., small tap targets)","No offline support; requires internet connection on all devices"],"requires":["Modern web browser with CSS media query support","JavaScript enabled for React component rendering","Ant Design 5.x CSS and component library","Responsive viewport meta tag in HTML"],"input_types":["viewport size and device type","user interactions (touch, mouse, keyboard)"],"output_types":["responsive HTML/CSS/JS rendering","adapted UI layout for device size","touch-friendly or mouse-friendly interactions"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-rockbenben--chatgpt-shortcut__cap_11","uri":"capability://automation.workflow.instant.page.loading.and.performance.optimization","name":"instant page loading and performance optimization","description":"Implements instant page loading through a custom Docusaurus plugin (plugins/instantpage.js) that preloads pages on hover or link focus, reducing perceived latency when navigating between prompts. The plugin likely uses the Instant.page library or similar approach to prefetch linked pages before the user clicks, creating a snappy navigation experience. Combined with Docusaurus's static site generation, this enables near-instant page transitions.","intents":["I want fast navigation between prompts without waiting for page loads","I need a snappy user experience when browsing the catalog","I want to reduce perceived latency when switching between prompts","I need the site to feel responsive and fast"],"best_for":["users with slower internet connections who benefit from prefetching","power users browsing many prompts in quick succession","teams optimizing for user experience and engagement"],"limitations":["Prefetching increases bandwidth usage for users who don't click prefetched links","May not work on slow or metered connections where prefetching is counterproductive","Instant.page or similar library adds ~10-20KB to bundle size","Prefetching may not work for dynamically generated pages or API calls","No control over prefetch behavior per user or connection type"],"requires":["Docusaurus 3.x for plugin support","Custom instantpage.js plugin implementation","Instant.page library or similar prefetching mechanism","Static site generation for predictable page URLs"],"input_types":["link hover or focus events","page URLs to prefetch"],"output_types":["prefetched page content","instant page transitions","reduced perceived latency"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-rockbenben--chatgpt-shortcut__cap_2","uri":"capability://automation.workflow.prompt.sharing.and.community.contribution.system","name":"prompt sharing and community contribution system","description":"Enables users to share custom prompts with the community and contribute new prompts to the public catalog through a GitHub-based contribution workflow. The system uses a community-prompts page where users can view shared prompts, and contributions are managed via pull requests to the prompt.json file in the repository. The architecture leverages GitHub as the backend for version control, review, and merging of new prompts, with Docusaurus rendering the community content statically.","intents":["I want to share a useful prompt I created with other users","I need to contribute a new prompt to the public catalog","I want to see what prompts other users have created and shared","I need to get feedback on my prompt before publishing it widely"],"best_for":["open-source contributors and prompt engineers building community resources","teams managing a shared prompt library across an organization","communities building curated prompt collections for specific domains"],"limitations":["Contribution workflow requires GitHub account and Git knowledge","Pull request review process adds latency (hours to days) before prompts go live","No built-in quality scoring or community voting on prompts","No moderation system for inappropriate or low-quality prompts","Community prompts not separated from official catalog in UI"],"requires":["GitHub account for submitting pull requests","Git CLI or GitHub web interface for contribution","Understanding of JSON format and prompt.json structure","Compliance with repository contribution guidelines"],"input_types":["prompt text and metadata (title, description, tags, category)","pull request with prompt.json modifications","user feedback and comments on shared prompts"],"output_types":["published prompt in community-prompts page","merged pull request in GitHub repository","community prompt list with contributor attribution"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-rockbenben--chatgpt-shortcut__cap_3","uri":"capability://tool.use.integration.browser.extension.and.userscript.integration.for.in.context.prompt.access","name":"browser extension and userscript integration for in-context prompt access","description":"Provides browser extension and Tampermonkey userscript implementations that inject ChatGPT-Shortcut prompts directly into ChatGPT, Claude, and other LLM interfaces. The extensions use browser extension APIs to communicate with the main Docusaurus site, fetch prompts from the catalog, and inject them into the LLM chat interface via DOM manipulation. The userscript approach enables cross-browser compatibility without requiring formal extension store approval.","intents":["I want quick access to my saved prompts while using ChatGPT without switching tabs","I need to inject a prompt into the LLM chat interface with one click","I want to use ChatGPT-Shortcut prompts across multiple LLM platforms (ChatGPT, Claude, etc.)","I need a lightweight solution that works without installing a full extension"],"best_for":["power users spending significant time in ChatGPT/Claude interfaces","teams standardizing on prompt templates across LLM platforms","developers building LLM workflows who need quick prompt injection"],"limitations":["Extension requires manual installation from Chrome Web Store or Firefox Add-ons","Userscript requires Tampermonkey/Greasemonkey, adding a dependency","DOM injection approach fragile to UI changes in ChatGPT/Claude interfaces","No synchronization between browser extension and web version of ChatGPT-Shortcut","Limited to text injection; no support for structured data or API calls"],"requires":["Chrome, Firefox, Safari, or Edge browser for extension support","Tampermonkey or Greasemonkey extension for userscript execution","JavaScript enabled in browser","No authentication required for basic functionality"],"input_types":["prompt selection from catalog","user variables/parameters for prompt customization","target LLM interface (ChatGPT, Claude, etc.)"],"output_types":["injected prompt text in LLM chat input","formatted prompt with variables substituted"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-rockbenben--chatgpt-shortcut__cap_4","uri":"capability://data.processing.analysis.structured.prompt.metadata.and.schema.management","name":"structured prompt metadata and schema management","description":"Defines and enforces a structured schema for prompts using TypeScript interfaces (LanguageData, prompt objects) that specify required fields like title, description, category, tags, and language-specific content. The system validates prompts against this schema during contribution and rendering, ensuring consistency across the catalog. Metadata includes multilingual content, difficulty levels, use-case categories, and contributor attribution, all stored in the prompt.json file with strict JSON structure.","intents":["I need to ensure all prompts in the catalog follow a consistent structure","I want to extract structured metadata about prompts for filtering or analysis","I need to validate new prompt contributions before merging them","I want to understand the required fields for creating a new prompt"],"best_for":["prompt library maintainers enforcing quality standards","developers building tools that consume the prompt catalog","teams automating prompt validation in CI/CD pipelines"],"limitations":["Schema validation happens at build time, not runtime","No JSON schema file published; schema is implicit in TypeScript interfaces","No versioning of schema; breaking changes require migration","Limited extensibility for custom metadata fields","No support for complex nested structures or conditional fields"],"requires":["TypeScript knowledge to understand schema interfaces","Access to src/data/User.d.tsx for schema definition","JSON validation tools for manual schema checking","Node.js and Yarn for build-time validation"],"input_types":["prompt JSON object with metadata","language-specific content strings","category and tag assignments"],"output_types":["validated prompt object","schema validation errors","structured metadata for filtering/analysis"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-rockbenben--chatgpt-shortcut__cap_5","uri":"capability://text.generation.language.internationalization.and.multilingual.content.management","name":"internationalization and multilingual content management","description":"Supports 13+ languages through Docusaurus's built-in i18n system combined with a custom JSON-splitting mechanism that separates language-specific prompt content. Each prompt stores language variants in a LanguageData structure, and Docusaurus automatically routes users to the appropriate language version based on browser locale or user selection. The system uses i18n configuration in docusaurus.config.js to define supported locales and default language, with translation resources organized in i18n/ directory structure.","intents":["I want to use ChatGPT-Shortcut in my native language","I need to contribute prompts in multiple languages","I want to switch between languages without losing my saved prompts","I need to ensure prompts are accurately translated across languages"],"best_for":["global teams using ChatGPT-Shortcut across multiple countries","multilingual prompt engineers managing prompts in multiple languages","organizations deploying ChatGPT-Shortcut to non-English-speaking regions"],"limitations":["Translation quality depends on manual contributor effort; no machine translation","Adding new language requires modifying docusaurus.config.js and creating i18n directory structure","No translation management system (TMS) integration for professional translation workflows","Language switching requires page reload or client-side state update","No right-to-left (RTL) language support mentioned in architecture"],"requires":["Docusaurus 3.x for i18n support","Understanding of i18n directory structure (i18n/{locale}/...)","Contributor fluency in target language for accurate translations","Modification of docusaurus.config.js to add new languages"],"input_types":["prompt text in source language","translated prompt text in target language","language locale code (en, zh, es, ar, etc.)"],"output_types":["localized UI and prompts in user's language","language-specific prompt variants","translated documentation and help content"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-rockbenben--chatgpt-shortcut__cap_6","uri":"capability://automation.workflow.static.site.generation.and.deployment.automation","name":"static site generation and deployment automation","description":"Builds ChatGPT-Shortcut as a static site using Docusaurus 3.x, enabling deployment to multiple platforms (Vercel, Docker, Cloudflare Pages) with zero runtime dependencies. The build process uses Node.js and Yarn to compile React components, process i18n translations, and generate static HTML/CSS/JS artifacts. Deployment is automated through CI/CD pipelines that trigger on repository updates, with support for containerization via Docker for self-hosted deployments.","intents":["I want to deploy ChatGPT-Shortcut to my own infrastructure","I need to host ChatGPT-Shortcut on a CDN for global performance","I want to set up continuous deployment when prompts are updated","I need to run ChatGPT-Shortcut in a Docker container for consistency"],"best_for":["teams self-hosting ChatGPT-Shortcut on their own infrastructure","organizations requiring on-premises deployment for compliance","developers building custom forks with modified prompt catalogs"],"limitations":["Static site generation requires rebuilding and redeploying on every prompt update","No real-time prompt updates without full site rebuild","Build process adds ~2-5 minute latency between prompt merge and live deployment","Docker containerization adds complexity for simple deployments","No built-in database, requiring external storage for user data if scaling beyond LocalStorage"],"requires":["Node.js 18+ for build process","Yarn package manager","Docker (optional) for containerized deployment","Vercel, Cloudflare, or self-hosted server for hosting","Git for version control and CI/CD integration"],"input_types":["source code from GitHub repository","environment variables for deployment configuration","prompt.json with updated prompts"],"output_types":["static HTML/CSS/JS artifacts","Docker image for containerized deployment","deployed site on Vercel/Cloudflare/self-hosted server"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-rockbenben--chatgpt-shortcut__cap_7","uri":"capability://automation.workflow.user.feedback.and.community.engagement.system","name":"user feedback and community engagement system","description":"Provides feedback and comments functionality through a dedicated feedback page and comments component (src/pages/_components/Comments.tsx) that allows users to report issues, suggest improvements, or discuss prompts. The system integrates with GitHub Issues or a similar backend to track feedback, enabling community-driven improvements. Comments are rendered on individual prompt pages, creating a discussion thread around each prompt without requiring a custom backend.","intents":["I want to report a bug or issue with a prompt","I need to suggest improvements to an existing prompt","I want to discuss a prompt with other users","I need to provide feedback on the ChatGPT-Shortcut platform itself"],"best_for":["open-source communities gathering user feedback","prompt library maintainers improving quality based on user input","teams building community-driven products"],"limitations":["Comments component implementation details unclear from architecture docs","No built-in spam filtering or moderation system","No notification system for comment replies","Comments may not persist across deployments if not backed by database","No threading or nested comment support mentioned"],"requires":["React component rendering for comments UI","Backend service for storing and retrieving comments (GitHub Issues or custom)","User authentication if requiring login for comments"],"input_types":["user feedback text","bug reports with reproduction steps","feature suggestions","comments on specific prompts"],"output_types":["feedback submitted to GitHub Issues or backend","comments displayed on prompt pages","feedback summary for maintainers"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-rockbenben--chatgpt-shortcut__cap_8","uri":"capability://memory.knowledge.prompt.showcase.and.featured.content.curation","name":"prompt showcase and featured content curation","description":"Displays curated prompt collections and featured prompts through a showcase page (community-prompts.tsx) and ShowcaseCard components that highlight high-quality or trending prompts. The system uses metadata and community engagement metrics to surface the most useful prompts, creating a discovery experience beyond simple catalog browsing. Featured prompts are manually curated or algorithmically selected based on usage, ratings, or community feedback.","intents":["I want to discover trending or highly-rated prompts","I need to see examples of how other users are using prompts","I want to find the best prompts for my use case","I need inspiration for creating new prompts"],"best_for":["new users discovering ChatGPT-Shortcut for the first time","prompt engineers seeking inspiration from community creations","teams evaluating ChatGPT-Shortcut for adoption"],"limitations":["Curation mechanism not specified; unclear if manual or algorithmic","No built-in analytics for tracking prompt popularity or usage","Showcase content may become stale without regular updates","No personalization based on user preferences or history","Limited to static showcase page; no dynamic trending prompts"],"requires":["Metadata for prompts (ratings, usage count, community feedback)","Curation process or algorithm for selecting featured prompts","ShowcaseCard React component for rendering featured prompts"],"input_types":["prompt metadata and engagement metrics","curation decisions or algorithm parameters"],"output_types":["featured prompt list on showcase page","ShowcaseCard components with prompt details","trending or recommended prompts"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-rockbenben--chatgpt-shortcut__cap_9","uri":"capability://data.processing.analysis.prompt.performance.analytics.and.usage.tracking","name":"prompt performance analytics and usage tracking","description":"Tracks prompt usage, popularity, and performance metrics to identify trending prompts and inform curation decisions. The system likely collects analytics through browser events or server-side logging when users interact with prompts (copy, share, save, use). Metrics may include view counts, copy frequency, save counts, and community ratings, aggregated to surface high-performing prompts in the showcase and recommendations.","intents":["I want to understand which prompts are most useful to the community","I need to identify underperforming prompts that need improvement","I want to track the impact of my contributed prompts","I need data to inform decisions about prompt curation and promotion"],"best_for":["prompt library maintainers optimizing catalog quality","community managers understanding user engagement","prompt engineers measuring the impact of their contributions"],"limitations":["Analytics implementation not detailed in architecture; likely minimal or absent","No privacy-preserving analytics mentioned; potential privacy concerns","No real-time analytics dashboard for viewing metrics","Metrics may not account for quality (e.g., high views ≠ high quality)","No A/B testing framework for comparing prompt variants"],"requires":["Analytics collection mechanism (browser events, server logging, or third-party service)","Data storage for analytics (database or analytics service)","Dashboard or reporting interface for viewing metrics"],"input_types":["user interactions (view, copy, save, share, use)","community feedback (ratings, comments)","prompt metadata"],"output_types":["usage metrics (view count, copy frequency, save count)","trending prompt list","performance dashboard","recommendations based on metrics"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":38,"verified":false,"data_access_risk":"high","permissions":["Modern web browser with JavaScript enabled","Internet connection to load Docusaurus static site","No API key or authentication required for browsing","Modern web browser with LocalStorage support","JavaScript enabled for React Context state management","No authentication required for local-only storage","Modern web browser with CSS media query support","JavaScript enabled for React component rendering","Ant Design 5.x CSS and component library","Responsive viewport meta tag in HTML"],"failure_modes":["Client-side filtering only — no full-text search or semantic similarity matching","Prompt discovery limited to predefined categories and tags, not free-form search","No ranking by relevance or personalization based on user history","Static JSON catalog requires manual updates; no dynamic prompt ingestion","LocalStorage persistence limited to ~5-10MB per browser, no cloud sync","No collaborative editing or sharing of custom prompts between users","Data loss if browser cache is cleared or user switches devices","No version control or audit trail for prompt modifications","No backup or export functionality beyond manual copy-paste","Responsive design may not be fully optimized for very small screens (< 320px)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.3402207909335014,"quality":0.49,"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":"2026-05-24T12:16:22.063Z","last_scraped_at":"2026-05-03T13:57:16.560Z","last_commit":"2026-04-23T14:52:03Z"},"community":{"stars":8445,"forks":932,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=rockbenben--chatgpt-shortcut","compare_url":"https://unfragile.ai/compare?artifact=rockbenben--chatgpt-shortcut"}},"signature":"IuwZjw1aQQo3IX/Xe6yS7uyDZ4jA3XiXOmwGqxidtbz5xlQOt3BCImn8tSrRzF2i/5bMCOtfcB6xFpIYqQLDDQ==","signedAt":"2026-06-20T21:38:15.561Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/rockbenben--chatgpt-shortcut","artifact":"https://unfragile.ai/rockbenben--chatgpt-shortcut","verify":"https://unfragile.ai/api/v1/verify?slug=rockbenben--chatgpt-shortcut","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"}}