Loading...
Loading...
Found 66 Skills
Comprehensive SEO optimization skill based on Google's official guidelines. Covers technical SEO, content SEO, structured data, Core Web Vitals, E-E-A-T strategies, practical code generation, and site audit workflows.
Comprehensive SEO optimization for web applications. Use when asked to improve search rankings, add meta tags, create structured data, generate sitemaps, optimize for Core Web Vitals, or analyze SEO issues. Works with Next.js, Astro, React, and static HTML sites.
Extract structured data from 40+ websites including Amazon, LinkedIn, Instagram, TikTok, Facebook, YouTube, and more. Uses Bright Data's Web Data APIs with automatic polling. Returns clean JSON with product details, profiles, reviews, posts, and comments.
Access and interact with Large Language Models from the command line using Simon Willison's llm CLI tool. Supports OpenAI, Anthropic, Gemini, Llama, and dozens of other models via plugins. Features include chat sessions, embeddings, structured data extraction with schemas, prompt templates, conversation logging, and tool use. This skill is triggered when the user says things like "run a prompt with llm", "use the llm command", "call an LLM from the command line", "set up llm API keys", "install llm plugins", "create embeddings", or "extract structured data from text".
Data acquisition for web scraping and data collection. Use when user needs "爬取数据/抓取网页/scrape data". Outputs structured JSON/CSV for analysis.
When the user wants to add, fix, or optimize schema markup and structured data on their site. Also use when the user mentions "schema markup," "structured data," "JSON-LD," "rich snippets," "schema.org," "FAQ schema," "product schema," "review schema," or "breadcrumb schema." For broader SEO issues, see review-seo-audit.
AI可读性审计工具，模拟AI爬虫视角评估网站对大语言模型的友好程度，分析结构化数据、语义HTML和Meta信息
Extract structured information from unstructured text using LLMs with source grounding. Use when extracting entities from documents, medical notes, clinical reports, or any text requiring precise, traceable extraction. Supports Gemini, OpenAI, and local models (Ollama). Includes visualization and long document processing.
Guide for implementing Google Gemini API document processing - analyze PDFs with native vision to extract text, images, diagrams, charts, and tables. Use when processing documents, extracting structured data, summarizing PDFs, answering questions about document content, or converting documents to structured formats. (project)
Use this skill when auditing SEO, analyzing Core Web Vitals, verifying meta tags, checking structured data, or troubleshooting analytics implementations. Covers Google Search Console, Google Analytics 4, Cloudflare Web Analytics, and technical SEO best practices.
This skill should be used when users need to work with the Vercel AI SDK for building AI-powered applications. It provides comprehensive guidance on core APIs (generateText, streamText), UI components (useChat, useCompletion), tool calling, structured data generation, provider management, streaming protocols, and advanced features like middleware and custom providers.
Guide for using Nushell for structured data pipelines and scripting. Use when writing shell scripts, processing structured data, or working with cross-platform automation.