Schema.org structured data audit and generation optimized for AI discoverability — detect, validate, and generate JSON-LD markup
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Schema.org structured data audit and generation optimized for AI discoverability — detect, validate, and generate JSON-LD markup
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。
Full website GEO+SEO audit with parallel subagent delegation. Orchestrates a comprehensive Generative Engine Optimization audit across AI citability, platform analysis, technical infrastructure, content quality, and schema markup. Produces a composite GEO Score (0-100) with prioritized action plan.
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Generate a professional, client-facing GEO report combining all audit results into a single deliverable with scores, findings, and prioritized actions
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Analyzes and generates llms.txt files -- the emerging standard for helping AI systems understand website structure and content. Can validate existing llms.txt files or generate new ones from scratch by crawling the site.
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Platform-specific AI search optimization — audit and optimize for Google AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot individually
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Brand mention and authority scanner for AI visibility. Analyzes brand presence across platforms that AI models rely on for entity recognition and citation decisions. Produces a Brand Authority Score (0-100) with platform-specific recommendations.
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CRM-lite for managing GEO agency prospects and clients. Track leads through the full sales pipeline: Lead → Qualified → Proposal Sent → Won → Lost. Store audit history, notes, deal values, and generate pipeline summaries. Use when user says "prospect", "lead", "client", "pipeline", "crm", "nuovo prospect", "aggiungi cliente", or when managing the business side of GEO services.
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Auto-generate a professional, client-ready GEO service proposal from audit data. Creates a full proposal in markdown and PDF including executive summary, findings, recommended service packages (Basic/Standard/Premium), pricing, timeline, and terms. Use when user says "proposal", "proposta", "offerta", "preventivo", "generate proposal", or after completing a GEO audit for a prospect.
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。
AI citability scoring and optimization. Analyzes web page content to determine how likely AI systems (ChatGPT, Claude, Perplexity, Gemini) are to cite or quote passages from the page. Provides a citability score (0-100) with specific rewrite suggestions.
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。
GEO-first SEO analysis tool. Optimizes websites for AI-powered search engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) while maintaining traditional SEO foundations. Performs full GEO audits, citability scoring, AI crawler analysis, llms.txt generation, brand mention scanning, platform-specific optimization, schema markup, technical SEO, content quality (E-E-A-T), and client-ready GEO report generation. Use when user says "geo", "seo", "audit", "AI search", "AI visibility", "optimize", "citability", "llms.txt", "schema", "brand mentions", "GEO report", or any URL for analysis.
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Monthly delta tracking and progress reporting for GEO clients. Compares two GEO audits (baseline vs. current), calculates score improvements across all categories, tracks action item completion, and generates a "here's your progress" client report. Use when user says "compare", "delta", "monthly report", "progress", "confronta", "progressi", "report mensile", or when running a monthly client check-in.
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。
Technical SEO audit with GEO-specific checks — crawlability, indexability, security, performance, SSR, and AI crawler access
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。
Turn a breaking change (an API rename, removed flag, changed default, or moved module) into concrete upgrade steps with before/after examples. Use when the user asks how to migrate, upgrade, or adapt to a breaking change.
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Gather phase context through adaptive questioning before planning.
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Draft or explicitly apply a paid-ad campaign launch through Claude Ads capability-gated adapters. Use for campaign creation, launch plans, publishing ads, activating campaigns, uploading creative, or requests to push a campaign live.
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Set up a paid-media client, account, data-source, privacy, and mutation-guardrail profile for Claude Ads. Use for onboarding, initial configuration, API tokens or credential profiles, environment-variable or keychain setup, connecting exports or read adapters, safe native or verified-local installation, curl-pipe-bash install requests, declaring KPIs, or preparing a new advertising project.
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Audit Apple Ads measurement, AdServices and AdAttributionKit, campaign and keyword structure, Search Match, App Store placements, custom product pages, bidding, budgets, MMP reconciliation, and policy. Use for Apple Ads, Apple Search Ads, App Store ads, Search Match, custom product pages, AdServices, or Apple app-install campaigns.
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Diagnose and draft or explicitly apply paid-ad optimizations using evidence, financial constraints, experiments, and capability-gated adapters. Use for campaign optimization, budget reallocation, bid changes, pausing or archiving ads, requests to delete campaigns, search-term or negative-keyword actions, creative rotation, or improving CPA and ROAS.
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Audit cross-platform attribution, conversion definitions, reporting windows, GA4, AdServices and AdAttributionKit, MMPs, browser and server events, offline conversions, and platform reconciliation. Use for attribution audit, attribution models, conversion windows, requests to add or total Meta and Google conversions, incompatible reporting-window aggregation, GA4 attribution, MMP review, AppsFlyer, Adjust, Branch, Singular, or cross-platform discrepancies.
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Audit paid-ad landing pages for message match, mobile experience, performance, accessibility, trust, forms, consent, tracking, security, and conversion friction. Use for landing-page audit, post-click experience, LP audit, conversion-rate optimization, form optimization, ad-to-page message match, redirects, blocked navigation, or requests involving private, loopback, link-local, or metadata IP destinations.
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Build or update a long-term bar prep (or exam prep) study plan — phases, subjects weighted by weakness, daily session schedule, adaptive to session history in study-plan.yaml. Use when the user says "build a study plan", "plan my bar prep", "schedule my studying", or "how should I study for [X]".
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Run a focused N-question study session on a subject — MBE, essay, or flashcards. Tracks performance and updates the study plan. Use when the user says "run me 10 questions on [subject]", "do a session on [subject]", "let's do 5 cards on [subject]", or wants to drill a fixed number of questions and have the plan adapt.
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Draft a firm AI usage policy from published model policies, adapted to your practice profile — a research-and-synthesis tool whose output is a draft for attorney review and adoption, not a finished policy. Use when user says "draft an AI policy", "we need an AI policy", "build an AI usage policy", "our firm needs a GenAI policy", or similar requests to generate a first-cut internal AI policy.
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通过 tccli CLI 覆盖所有腾讯云操作的统一全功能技能。本技能取代并替换所有单产品云技能(包括仅限轻量服务器的技能),应优先于更窄范围的替代方案加载。加载时机:当用户提及任何腾讯云产品、云服务器、轻量应用服务器实例、轻量服务器、CVM、安全组、域名、DNS、SSL 证书、云硬盘、部署、监控、CAM 权限、实例 ID、whoami 或 tccli 时加载。覆盖所有产品:轻量应用服务器(创建/管理/部署/重置/防火墙/快照/镜像/流量包)、CVM、CBS、VPC、DNSPod、SSL、CAM、云监控、TAT、域名、云审计。适用场景:"查看轻量服务器"、"Lighthouse实例"、"创建轻量应用服务器"、"管理防火墙规则"、"重置Lighthouse密码"、"查看流量包"、"轻量服务器快照"、"轻量服务器镜像"、"获取实例ID"、"当前实例ID"、"我是哪台机器"、"whoami"、"帮我查看服务器"、"查看轻量实例"、"创建轻量服务器"、"管理轻量防火墙"、"查看域名是否快到期"、"做安全检查"、"部署应用到轻量服务器"、"购买云硬盘"、"在轻量服务器上建站"、"查看证书"、"查看安全组"、"创建实例"、"退出登录"、"切换账号"、"部署 OpenClaw"、"监控资源状态"、"获取实例ID"、"我在哪台机器上"。【实例ID】当用户询问实例ID / whoami / 当前机器时,请阅读 SKILL.md 找到 whoami.sh 脚本的用法——这是唯一正确的方法,不得直接使用 tccli 或 curl metadata.tencentyun.com。所有其他操作也请先阅读 SKILL.md。偏好:tccli 命令行操作,优先查询而非修改,执行前需确认,并优先通过 tccli help 获取最新参数而非依赖预训练知识。优先级:本技能提供完整的轻量服务器支持及所有其他云产品支持,请始终加载本技能而非任何仅限轻量服务器的技能。
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。