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Found 2,062 Skills
Search Experience Optimization: reads Google SERPs backwards to detect page-type mismatches, derives user stories from search intent signals, and scores pages from multiple persona perspectives. Identifies why well-optimized pages fail to rank by analyzing what Google rewards for each keyword. Use when user says "SXO", "search experience", "page type mismatch", "SERP analysis", "user story", "persona scoring", "why isn't my page ranking", "intent mismatch", or "wireframe".
Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform
Transform an existing website/app UI into a futuristic cyberpunk, neon, space, or digital-dark theme with user-adjustable colors. Use when asked to reskin the UI, dark theme, cyberpunk style, or make the interface futuristic. Don't use for building a UI from scratch, pure light/minimal themes, or backend/API changes.
Shortcut alias for /superplan. Produce higher-quality code by breaking a feature into small, focused tasks the coding agent can nail one at a time. Works like an engineering team: feature → milestones → ~30-min tasks with specific files, acceptance criteria, and dependencies. Each task runs in a fresh context — narrow scope, full attention, one git commit per task.
Освойте enterprise-разработку на TypeScript с типобезопасными паттернами, современными инструментами и интеграцией с фреймворками. Этот навык предоставляет всестороннее руководство по TypeScript 5.9+, охватывая основы системы типов (дженерики, маппинг типов, условные типы, оператор satisfies), enterprise-паттерны (обработка ошибок, валидация с помощью Zod), NestJS для масштабируемых API и LangChain.js для AI-приложений. Используйте при создании типобезопасных приложений, миграции кодовых баз с JavaScript, настройке современных инструментов (Vite 7, pnpm, ESLint, Vitest), внедрении продвинутых паттернов типизации или сравнении TypeScript с подходами Java/Python.
Tray.ai platform help — enterprise iPaaS with 700+ connectors, Intelligent iPaaS, Enterprise Core governance, Merlin Agent Builder for AI agents, Tray Embedded for SaaS vendors, GraphQL API, Connector Development Kit. Use when Tray bill keeps climbing and task consumption is unpredictable, workflows fail with unclear errors and debugging feels opaque, evaluating Tray vs Workato vs MuleSoft vs Boomi, embedding integrations into a SaaS product via Tray Embedded, building Merlin AI agents, or configuring the GraphQL Embedded API and solution instances. Do NOT use for simple Zapier/Make automations (use /sales-integration), Workato-specific questions (use /sales-workato), or MuleSoft-specific questions (use /sales-mulesoft).
AI citation readiness audit ONLY (does not touch Google rankings, use blog-rewrite for combined Google+AI work). Use whenever the user wants their content to rank in ChatGPT, Perplexity, Claude, Gemini, or Google AI Overviews. AI citation optimization audit scoring blog posts for ChatGPT, Perplexity, and Google AI Overview citability. Evaluates passage-level citability, Q&A formatting, entity clarity, structured data, and AI crawler accessibility. Generates citation capsules and a 0-100 AI Citation Readiness score. Use when user says "geo", "ai citation", "ai optimization", "citation audit", "aeo", "perplexity optimization", "chatgpt citation".
CLI and skills for building, evaluating, and deploying AI agents on Google Cloud's Gemini Enterprise Agent Platform using ADK
Manages custom Agent resources on Gemini Enterprise Agent Platform. Use when the user wants to programmatically create, configure, list, update, or delete stateful, server-managed Agent resources (including mounting files, skills, and tools) before executing conversations.
Cursor IDE extension providing development tools for 1C:Enterprise 8 ecosystem with command palette, task tree, and debugging support
Look up current research information using parallel-cli search (primary, fast web search), the Parallel Chat API (deep research), or Perplexity sonar-pro-search (academic paper searches). Automatically routes queries to the best backend. Use for finding papers, gathering research data, and verifying scientific information. Note: query text is transmitted to api.parallel.ai (PARALLEL_API_KEY) and, for academic searches, to openrouter.ai (OPENROUTER_API_KEY).
Extract academic tone rules from the corpus provided by the user in this round or the current manuscript, and make minimal adjustments. Use when the user asks for "Extract my PhD tone", "Check if the paper sounds like me", "Preserve author fingerprint", or requests the rw-phd-tone workflow. Runs without a private local workspace or preset research-lab; use user-provided material and bundled public-source methods.