Skills Hub

Extracts factual claims from selected text or a page and checks each against the visible context and available sources, flagging what is supported, weakened, contradicted, or still unverified. Use when the user says "fact check this", "verify", "is this true", "check the sources", or asks about a page's accuracy, credibility, or possible misinformation.

Formulate effective web search queries, analyze search results, and synthesize findings. Optimize search strategies for different types of information needs.

Finds credible primary or authoritative sources that verify, challenge, or strengthen the claims in selected or visible text, weighing each for authority, recency, and whether it actually supports the claim. Use when the user says "find a source", "back this up", "is there evidence for this", "cite this", "find references", or asks for citations, primary sources, or proof for a statement.

Finds the technical terms, acronyms, and domain phrases on the current page and defines each in plain language, with why it matters in this context. Use when the user says "explain the jargon", "define these terms", "what does X mean here", "build a glossary", or asks about acronyms, abbreviations, or unfamiliar terminology on the page.

Explains academic papers, abstracts, PDFs, and technical articles by laying out their method, findings, limitations, and implications. Use when the user says "explain this paper", "summarize this study", "read this paper", "break down this research", or asks what a paper or abstract means.

Summarizes product reviews into recurring pros, cons, reliability issues, buyer-fit notes, and repeated red flags. Use when the user asks to summarize, analyze, or compare product reviews, customer feedback, ratings, or user reviews on a store, app, restaurant, or marketplace listing.

Analyze stocks with fundamental and technical analysis. Supports US, China A-shares, and Hong Kong markets. Generate investment reports with key metrics.

Analyze competitors systematically. Compare products, features, pricing, positioning, and market strategies. Generate comprehensive competitive intelligence reports.

Creates a summary that adapts to the source, such as an article, email thread, chat, PDF, document, image, or transcript, while surfacing the key points, decisions, and takeaways. Use when the user says "summarize", "TLDR", "key points", "recap", "overview", or "condense this".

Conduct comprehensive research on any topic. Synthesize information from multiple angles, provide structured analysis, and generate detailed research reports.

Analyze cryptocurrency projects with tokenomics, on-chain metrics, and market analysis. Generate comprehensive crypto research reports.

Lists the citations, links, and referenced sources a page relies on and explains what each one appears to support, flagging anything missing, circular, or weakly sourced. Use when the user says "list the sources", "what does this cite", "show the references", "check the citations", or asks for a page's bibliography, footnotes, or links.

Judges whether a product's price is worth it by checking typical prices, alternatives, total cost, and timing, then giving a clear buy / wait / skip call. Use when the user asks "is this a good deal", "should I buy this", "is this worth the price", "too expensive", or wants a price check or comparison before purchasing.

Summarizes a competitor's page into positioning, audience, offers, pricing cues, proof points, and differentiation opportunities. Use when the user wants a competitive analysis, competitor research, or a market comparison, or asks to analyze a competitor's website, landing page, pricing page, product, or ad.

Conduct comprehensive company research and due diligence. Analyze business model, competitive landscape, management, and market position.

Search and analyze academic literature. Find papers, understand research methodologies, and synthesize academic findings for research projects.

Compares two or more job postings, offers, or listings side by side and ranks them on a weighted scorecard covering fit, level, compensation, benefits, growth, remote quality, company signals, and time to offer. Use when the user asks to compare job offers, weigh salary and benefits across listings, decide which job to take, or evaluate competing opportunities.

Reviews a job posting or pasted job description for fit, gaps, legitimacy signals, compensation context, resume customization, and interview prep. Use when the user shares a job posting, job listing, job ad, or job description and wants help deciding whether to apply, evaluating the role, or checking if a job is legit.

Prepares for a specific company and role by mapping likely interview rounds, audience-specific questions, proof points, STAR story gaps, and questions to ask back. Use when the user mentions interview prep, preparing for a job interview, a mock interview, behavioral questions, or practicing for an upcoming round.

Explains selected or visible content in plain language, including the core idea, jargon, and background, while researching further when the page falls short and staying evidence-backed. Use when the user says "explain this", "what does this mean", "simplify", "break this down", "ELI5", or "help me understand" about highlighted text, code, or on-screen content.

Explains a visible chart by identifying axes, trends, outliers, and the practical takeaway while flagging missing context. Use when the user shares a chart, graph, plot, or data visualization — bar, line, pie, scatter — and asks what it shows, means, or whether the data supports a decision.

Answers a question grounded in the selected text or visible page, researching further when the page falls short, always evidence-backed and never invented. Use when the user highlights a passage or is on a page and asks "what does this mean", "answer this", "where does it say", or any who/what/why/how question about that content.

When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer interviews," "survey analysis," "support ticket analysis," "voice of customer," "VOC," "build personas," "customer personas," "jobs to be done," "JTBD," "what do customers say," "what are customers struggling with," "Reddit mining," "G2 reviews," "review mining," "digital watering holes," "community research," "forum research," "competitor reviews," "customer sentiment," or "find out why customers churn/convert/buy." Use for both analyzing existing research assets AND gathering new research from online sources. For writing copy informed by research, see copywriting. For acting on research to improve pages, see cro.

When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,' 'optimize for ChatGPT,' 'optimize for Perplexity,' 'AI citations,' 'AI visibility,' 'zero-click search,' 'how do I show up in AI answers,' 'LLM mentions,' 'optimize for Claude/Gemini,' 'llms.txt,' 'OKF,' 'Open Knowledge Format,' 'knowledge bundle,' or 'agent-readable site.' Use this whenever someone wants their content to be cited or surfaced by AI assistants and AI search engines. For traditional technical and on-page SEO audits, see seo-audit. For structured data implementation, see schema.