This skill automates downloading books from Z-Library and uploading them to Google NotebookLM. It handles format conversion, smart chunking for large files, and creates notebooks for AI-powered reading with zero hallucination.

Transform surface-level reading into deep understanding. Apply proven thinking models to extract insights, evaluate arguments, and turn reading into actionable knowledge.

Finding reliable AI news across multiple sources takes time and effort. This skill automatically gathers news from major AI publications, filters for relevance and recency, and presents organized briefings with direct links to original articles.

Browser automation requires repetitive manual interactions with web pages. This skill provides MCP-powered tools to navigate websites, fill forms, click elements, take screenshots, and extract data programmatically through Playwright MCP server.

Making technical decisions without proper investigation leads to costly refactoring and technical debt. This skill provides a structured framework for timeboxed technical spikes, proof of concept development, and objective technology evaluations with clear recommendations.

SEO analysis helps improve website visibility in search engines. This skill provides actionable recommendations for technical SEO, meta tags, Core Web Vitals, and schema markup to boost rankings.

Finding qualified leads takes hours of manual research. This skill analyzes your business, identifies matching companies, and provides personalized contact strategies so you can focus on outreach instead of research.

Finding accurate API documentation and framework examples wastes development time. This skill delegates technical document queries to a specialized Context7 researcher agent, returning precise code examples and configuration guidance without polluting your conversation context.

需要系统性调研、深度分析和综合报告时，普通搜索无法满足需求。本技能通过3层深度搜索、多源交叉验证和智能输出选择，提供比普通搜索更全面、更准确的研究结果和深度洞察。

Web scraping is time-consuming and error-prone when done manually. This skill uses intelligent content extraction to pull clean, structured content from any URL in seconds. It handles dynamic pages, removes noise like ads and navigation, and outputs in markdown, JSON, or plain text.

Finding comprehensive information for complex coding tasks takes significant time and effort. This skill automates research by calling a Dify workflow that searches documentation, analyzes topics with DeepSeek Reasoner, and generates structured implementation guides with code examples.

Need thorough, citation-backed research across multiple sources? This skill delivers verified, professional-grade reports through an 8-phase methodology with source credibility scoring and automatic citation validation. Stop spending hours searching and synthesizing—get comprehensive analysis ready for decisions.

Users struggle to describe visual content accurately when debugging UI issues or documenting designs. This skill provides detailed analysis of screenshots, diagrams, and visual content with actionable observations.

Finding and understanding documentation across libraries and frameworks takes significant time and effort. This skill provides accurate references and clear explanations by guiding the AI to prefer official documentation, highlight version-specific details, and provide concrete usage examples.

Converting web pages to markdown is time-consuming and error-prone. This skill uses intelligent content extraction with CSS selectors to fetch any URL and produce clean, readable markdown output for documentation, articles, and reference pages.

LLMs produce inconsistent results with poorly crafted prompts. This skill provides battle-tested patterns and templates for chain-of-thought reasoning, few-shot learning, and systematic prompt optimization to improve output quality.

You need consistent ways to measure LLM quality and regressions. This skill provides metrics, human review guidance, and testing frameworks for reliable AI assessment.

Content creators struggle to find trending topics that resonate with audiences. This skill fetches real-time hot list data from TopHub and uses Claude to identify high-potential topics and generate content suggestions.

AI agents lose performance as conversations grow longer. This skill diagnoses lost-in-middle problems, context poisoning, and attention failures to restore optimal agent performance. It provides patterns for recognizing and mitigating context degradation.

Transform RDF data into cognitive agent architectures using formal Belief-Desire-Intention patterns. Enable AI systems to model rational agency with traceable reasoning chains and semantic interoperability for multi-agent systems.