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Safe deployment workflow for Drupal 10/11 sites: pre-flight checks, backup, the correct update sequence (composer install, database updates, config import, cache rebuild), verification, and rollback plan. Use when deploying to any environment, releasing to production, or when the user asks to "push changes live", "update the server", or run a release. Also use for multisite releases where each site needs its own database update pass.

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Use when building content-heavy sites with Astro, deciding between SSG/SSR/hybrid, choosing client directives (idle/visible/load/media), structuring content collections with type-safe schemas, integrating React/Vue/Solid/Svelte components in the same project, or migrating from Next.js for marketing/docs. Triggers: client:idle vs client:load tradeoffs, content collections schema with zod, image optimization via @astrojs/image, view transitions, server islands, MDX layouts. NOT for SPA-style apps that need full interactivity (use Next/Remix), Astro internals/plugin authoring, or non-content sites where islands provide no benefit.

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Detects m6A modifications from Oxford Nanopore direct-RNA-seq (DRS) signal using m6Anet (multiple-instance-learning over DRACH 5-mer signal). Covers the upstream pipeline (Dorado/Guppy basecalling -> minimap2 map-ont -> nanopolish eventalign -> m6anet dataprep -> m6anet inference), per-site vs per-read probability including the mod_ratio stoichiometry column, the DRACH-only constraint, minimum-coverage thresholds (20-50 reads/site), multi-condition comparison via xPore/Nanocompore/ELIGOS, Dorado native modification calling (RNA004, 2024+), and the cDNA-vs-DRS distinction (cDNA Nanopore CANNOT detect modifications). Use when calling m6A from ONT DRS without immunoprecipitation, choosing m6Anet vs xPore vs Nanocompore vs ELIGOS vs Dorado native, interpreting probability_modified vs mod_ratio vs per-read probabilities, deciding between m6Anet (known DRACH sites) and Dorado/Remora (genome-wide screening), pinning RNA002 vs RNA004 chemistry and basecaller versions, or troubleshooting eventalign/dataprep failures.

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Oracle-bound spec-review check that every structured Rollout prerequisite binds to an enforcement-type acceptance criterion. A prerequisite whose `enforced-by` is missing, dangling, or points at a non-enforcement AC is a BLOCKER (hard-blocks implementation entry via the checker fan-out verdict); a prerequisite left in free prose is ADVISORY. Read-only. Runs in the spec-review fan-out before implementation.

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Expert-level environmental remediation covering site characterization, risk assessment, remediation technology selection, in-situ and ex-situ treatment, and regulatory closure.

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Crie designs de websites premium com qualidade Awwwards como componentes React (.jsx) que pareçam ter sido construídos por uma agência de primeira linha cobrando R$250k+ por projeto. Use esta skill sempre que o usuário pedir um website, landing page, portfólio, ou componente web que deve parecer caro, premium, luxo, editorial, high-end, ou de qualidade agência. Também dispare quando o usuário mencionar Awwwards, FWA, design premiado, ou referenciar marcas como Apple, Aesop, Bottega Veneta, Stripe, ou qualquer marca luxury/fashion/design-forward. Dispare quando o usuário disser coisas como "faça parecer profissional", "faça parecer caro", "quero que fique realmente bom", "design de alta qualidade", "não genérico", ou expressar insatisfação com aesthetics típicos de websites gerados por IA. NÃO dispare para dashboards, admin panels, ferramentas internas, ou UI funcional onde aesthetics são secundárias à utilidade — a skill padrão frontend-design cuida disso.

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Crawl websites and extract content from multiple pages via the Tavily CLI. Use this skill when the user wants to crawl a site, download documentation, extract an entire docs section, bulk-extract pages, save a site as local markdown files, or says "crawl", "get all the pages", "download the docs", "extract everything under /docs", "bulk extract", or needs content from many pages on the same domain. Supports depth/breadth control, path filtering, semantic instructions, and saving each page as a local markdown file.

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Web search, content extraction, crawling, and deep research via the Tavily CLI. Use this skill whenever the user wants to search the web, find articles, research a topic, look something up online, extract content from a URL, grab text from a webpage, crawl documentation, download a site's pages, discover URLs on a domain, or conduct in-depth research with citations. Also use when they say "fetch this page", "pull the content from", "get the page at https://", "find me articles about", or reference extracting data from external websites. This provides LLM-optimized web search, content extraction, site crawling, URL discovery, and AI-powered deep research — capabilities beyond what agents can do natively. Do NOT trigger for local file operations, git commands, deployments, or code editing tasks.

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Route ordinary public-web information tasks to the correct Tavily CLI operation. Use when the task concerns publicly accessible webpages and needs web discovery, clean extraction, URL mapping, same-site crawling, or public-web-only research, but the exact Tavily operation is not yet clear or several operations must be sequenced. Prefer the specific leaf skill when intent is clear: tavily-search for discovery without a URL, tavily-extract for known URLs, tavily-map for URL/site-structure discovery, tavily-crawl for content from many pages on one site, tavily-research for cited multi-source synthesis, and tavily-dynamic-search for programmatic filtering with context isolation. Do not use for named social/community/media/career/code platforms, login or cookie-dependent content, platform-native discussions, or cross-platform collection; use Agent Reach there. Do not use for local files, Git operations, deployments, or ordinary code editing.

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AI-powered autonomous data extraction that navigates complex sites and returns structured JSON. Use this skill when the user wants structured data from websites, needs to extract pricing tiers, product listings, directory entries, or any data as JSON with a schema. Triggers on "extract structured data", "get all the products", "pull pricing info", "extract as JSON", or when the user provides a JSON schema for website data. More powerful than simple scraping for multi-page structured extraction.

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Search, scrape, and interact with the web via the Firecrawl CLI. Use this skill whenever the user wants to search the web, find articles, research a topic, look something up online, scrape a webpage, grab content from a URL, get data from a website, crawl documentation, download a site, or interact with pages that need clicks or logins. Also use when they say "fetch this page", "pull the content from", "get the page at https://", or reference external websites. This provides real-time web search with full page content and interact capabilities — beyond what Grok can do natively with built-in tools. Do NOT trigger for local file operations, git commands, deployments, or code editing tasks.

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Audit websites for SEO, performance, security, technical, content, and 15 other issue cateories with 230+ rules using the squirrelscan CLI. Returns LLM-optimized reports with health scores, broken links, meta tag analysis, and actionable recommendations. Use to discover and asses website o...

日本語の概要は準備中です。原文の説明を表示しています。

Audit websites for SEO, performance, security, technical, content, and 15 other issue cateories with 230+ rules using the squirrelscan CLI. Returns LLM-optimized reports with health scores, broken links, meta tag analysis, and actionable recommendations. Use to discover and asses website or webapp issues and health.

日本語の概要は準備中です。原文の説明を表示しています。

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

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- End-to-end passive reconnaissance for a domain, website or IP — builds an asset inventory covering registration, DNS, subdomains, infrastructure, tech stack, history and ownership without sending a single packet to the target. Use when asked to research or profile a domain or website, map what an organisation runs, or investigate a suspicious site without alerting its operator

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Audits a live website for AI-engine discoverability (AEO/GEO). Crawls the site, runs 16 deterministic checks plus a 6-dimension content evaluation, and produces a scored report (A-F) with prioritized fixes. Use to get a baseline before improve-aeo-geo, or to measure progress after changes.

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Operating NV oOS WordPress sites through scoped MCP operator credentials — tool groups, task recipes, and site disambiguation. Use when working with NV oOS tools (create_post, woo_products, toolkit_cpt, paper_store, jetengine) on any managed site.

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Picks the right WordPress storage primitive for plugin data: options, user/post/term/comment meta, transients, site options, site transients, or custom tables. Covers grouped settings, autoload management, transient TTL rules, serialized/JSON blob trade-offs, multisite storage caveats, and naming conventions. Use when scaffolding settings, choosing persistence for plugin-owned data, or auditing update_option/get_option/get_post_meta/set_transient/autoload usage.

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Connect and manage Elementor MCP servers as "MCP Apps" on NV oOS assistants — official Elementor MCP (application passwords, permission inheritance, enable/revoke flows), third-party Elementor MCP plugins, the Pro MCP Apps metabox/slash-command/REST surfaces, the Remote Sites "MCP Server" connection type with assistant connection_ref references, auth-type mapping (basic vs header vs oauth), the host allowlist (Security Center setting, constant, filter), tool discovery/bridging into chat, and troubleshooting (allowlist 403s, restricted hosts, protocol fallback, negative discovery cache, same-site in-process bridge, missing connection_ref). Use when connecting an assistant to Elementor MCP, creating a Remote Sites MCP Server connection, using /mcp-app, fixing Test Connection or Discover Tools failures, allowlisting an Elementor host, or debugging bridged elementor_* tools missing from chat.

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Compatibility skill for seo sitemap. Use when a user or upstream workflow invokes this name; route the task to `site-architecture` while preserving the requested scope and source-specific intent.

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Use when the user asks to "analyze backlinks", "analyze my off-site signals", or "track AI traffic / ChatGPT / Perplexity referrals"; profiles referring domains, anchor-text mix, toxic links, and disavow candidates (backlinks mode) or isolates AI-assistant referral sessions in GA4/GSC/logs and reports their trend, landing pages, and AI-vs-organic conversion (ai-referrals mode). Not for internal links — use site-structure-optimizer; not for keyword positions — use rank-tracker; not for multi-metric stakeholder reports — use performance-monitor. 外链分析/反向链接/AI流量/AI引荐/ChatGPT流量/AI转化

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Use when the user wants a wall of album covers, an image wall, a covers grid, or any square art drifting slowly in the background of a site. Includes collecting their saved albums from Spotify and building the wall from them. The wall goes behind whatever front the site already has; a frosted panel is the default when the site has none.

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Add released versions of Apache SkyWalking AI Sessionizer to its apt repository, static/apt in apache/skywalking-website, which the website serves at https://skywalking.apache.org/apt. Verifies the voted .deb packages, adds them to the index with apt-ftparchive, signs the index with the release manager's key, writes the .htaccess redirects, installs through them with apt, and opens a pull request to apache/skywalking-website. Use after a version is published.

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Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

日本語の概要は準備中です。原文の説明を表示しています。