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Found 2,661 Skills
Comprehensive multi-omics disease characterization integrating genomics, transcriptomics, proteomics, pathway, and therapeutic layers for systems-level understanding. Produces a detailed multi-omics report with quantitative confidence scoring (0-100), cross-layer gene concordance analysis, biomarker candidates, therapeutic opportunities, and mechanistic hypotheses. Uses 80+ ToolUniverse tools across 8 analysis layers. Use when users ask about disease mechanisms, multi-omics analysis, systems biology of disease, biomarker discovery, or therapeutic target identification from a disease perspective.
Integrate and analyze multiple omics datasets (transcriptomics, proteomics, epigenomics, genomics, metabolomics) for systems biology and precision medicine. Performs cross-omics correlation, multi-omics clustering (MOFA+, NMF), pathway-level integration, and sample matching. Coordinates ToolUniverse skills for expression data (RNA-seq), epigenomics (methylation, ChIP-seq), variants (SNVs, CNVs), protein interactions, and pathway enrichment. Use when analyzing multi-omics datasets, performing integrative analysis, discovering multi-omics biomarkers, studying disease mechanisms across molecular layers, or conducting systems biology research that requires coordinated analysis of transcriptome, genome, epigenome, proteome, and metabolome data.
Joel's writing voice and style guide for joelclaw.com content. Use when writing, editing, or reviewing any blog post, essay, book chapter, or prose content for joelclaw.com. Also use when asked to 'write like Joel,' 'match Joel's voice,' 'draft a post,' 'write content for the blog,' or 'review this for voice.' This skill captures Joel's specific writing patterns derived from ~90,000 words of published content spanning 2012–2026. Cross-reference with copy-editing and copywriting skills for marketing-specific copy.
Build and revise Rive Luau scripts across Node, Layout, Converter, Path Effect, Transition Condition, Listener Action, Util, and Test protocols. Use when the user asks to write or modify Rive scripts, choose protocols, wire script inputs or data binding, debug runtime behavior, or plan unit tests for script logic.
Enrich contact, company, and influencer data using x402-protected APIs. Superior to generic web search for structured business data. USE FOR: - Enriching person profiles by email, LinkedIn URL, or name - Enriching companies by domain - Finding contact details (email, phone) with confidence scores - Scraping full LinkedIn profiles (experience, education, skills) - Searching for people or companies by criteria - Bulk enrichment operations (up to 10 at a time) - Verifying email deliverability before outreach - Enriching influencer/creator profiles across social platforms TRIGGERS: - "enrich", "lookup", "find info about", "research" - "who is [person]", "company profile for", "tell me about" - "find contact for", "get LinkedIn for", "get email for" - "employee at", "works at", "company details" - "verify email", "check email", "is this email valid" - "influencer", "creator", "influencer contact", "influencer marketing" ALWAYS use `npx agentcash fetch` for stableenrich.dev endpoints - never curl or WebFetch. Returns structured JSON data, not web page HTML. IMPORTANT: Use exact endpoint paths from the Quick Reference table below. All paths include a provider prefix (`https://stableenrich.dev/api/apollo/...`, `https://stableenrich.dev/api/clado/...`, etc.).
Apple HIG guidance for Apple technology integrations: Siri, Apple Pay, HealthKit, HomeKit, ARKit, machine learning, generative AI, iCloud, Sign in with Apple, SharePlay, CarPlay, Game Center, in-app purchase, NFC, Wallet, VoiceOver, Maps, Mac Catalyst, and more. Use when asked about: "Siri integration", "Apple Pay", "HealthKit", "HomeKit", "ARKit", "augmented reality", "machine learning", "generative AI", "iCloud sync", "Sign in with Apple", "SharePlay", "CarPlay", "in-app purchase", "NFC", "VoiceOver", "Maps", "Mac Catalyst". Also use when the user says "how do I integrate Siri," "what are the Apple Pay guidelines," "how should my AR experience work," "how do I use Sign in with Apple," or asks about any Apple framework or service integration. Cross-references: hig-inputs for input methods, hig-components-system for widgets.
Apple HIG guidance for navigation-related components including search fields, page controls, and path controls. Use this skill when the user says "how should search work in my app," "I need a breadcrumb," "how do I paginate content," or asks about search field, search bar, page control, path control, breadcrumb, navigation component, search UX, search suggestions, search scopes, paginated content navigation, or file path hierarchy display. Cross-references: hig-components-menus, hig-components-controls, hig-components-dialogs, hig-patterns.
Apple HIG guidance for selection and input controls including pickers, toggles, sliders, steppers, segmented controls, combo boxes, text fields, text views, labels, token fields, virtual keyboards, rating indicators, and gauges. Use this skill when the user says "picker or segmented control," "how should my form look," "what keyboard type should I use," "toggle vs checkbox," or asks about picker design, toggle, switch, slider, stepper, text field, text input, segmented control, combo box, label, token field, virtual keyboard, rating indicator, gauge, form design, input validation, or control state management. Cross-references: hig-components-menus, hig-components-dialogs, hig-components-search.
Comprehensive guidelines for designing, writing, and implementing effective notification systems across email, push, SMS, in-app, and chat channels.
Create, read, and manage Feishu tasks with automatic user authorization. Use when you need to create tasks that your user can directly edit, read task lists, manage task details, or check calendar events. Supports automatic token refresh and persistence across sessions. All operations are performed with user identity, ensuring proper permissions.
V2 instinct-based observational learning. Analyzes sessions to extract reusable mobile development patterns across time.
Execute read-only SQL queries against multiple Microsoft SQL Server databases. Use when: (1) querying MSSQL/SQL Server databases, (2) exploring database schemas/tables, (3) running SELECT queries for data analysis, (4) checking database contents. Supports multiple database connections with descriptions for intelligent auto-selection. Blocks all write operations (INSERT, UPDATE, DELETE, DROP, etc.) for safety.