awesome-surfmind

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.

Turns REST API documentation into a runnable curl, fetch, or code example with required headers, request body, and placeholders for secrets. Use when the user wants to generate a request from API docs, an endpoint, or a Swagger/OpenAPI spec — "give me a curl for this", "show a fetch example", "how do I call this API".

Translates selected text and explains the idioms, cultural nuance, key terms, and phrasing that should not be read literally. Use when the user says "translate this", "in Spanish/French/Japanese/etc.", "what does this mean", "explain this phrase", or wants foreign-language text rendered with the context behind it.

Turns an event page, calendar invite, email, or notes into key details, an agenda, a preparation checklist, and follow-up reminders. Use when the user wants to prepare for a meeting, event, or appointment, or asks for meeting prep, an agenda, or a prep checklist before an upcoming event.

Writes captions, accessibility alt text, and short image or page descriptions tailored to the visible content and audience. Use when the user asks to "describe this image", "write alt text", "caption this", or needs screen reader text, a11y descriptions, image descriptions, or social captions.

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.

Converts a code snippet from one programming language to another while preserving behavior and flagging library, runtime, and type-system differences. Use when the user asks to translate, port, rewrite, or convert code between languages — "port this to Python", "rewrite in Rust", "convert Java to Go".

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.

Finds legitimate discount codes for the store the user is shopping, points to the sources most likely to carry a working code, and flags suspicious or unverifiable coupon claims. Use when the user asks for a "promo code", "coupon code", "discount code", "voucher", "deal", or "savings" for an online store, or asks "is there a code for this".

Evaluates whether a specific course, certification, bootcamp, or training is worth the time and money for the user's stated career goal, weighing recruiter signal, time and opportunity cost, risks, and the artifact it produces. Use when the user asks whether a course, certification, bootcamp, or training is worth it, or when evaluating training ROI against a career goal.

Builds a tailored cover letter from a job description and the user's background — researches the company, mirrors keywords, handles gaps, and drafts an approval-ready letter. Use when the user wants help writing a cover letter or application letter, or applying for a job or position.

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.

Turns rough notes, bullet points, outlines, or copied fragments into a coherent draft (email, memo, post, report, or document section) while preserving facts and marking gaps instead of inventing detail. Use when the user shares notes or bullets and asks to "turn this into a draft", "write this up", "expand my bullets", "turn notes into prose", or "make a first draft".

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.

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.

Corrects grammar, spelling, punctuation, and awkward wording in text while preserving its meaning, tone, and formatting. Use when the user says "fix grammar", "proofread", "correct this", "check spelling", or wants typos and grammatical errors cleaned up in selected or provided text.

Generates strong opening lines for a topic or page using curiosity, contrast, story, and data-driven angles while avoiding unsupported clickbait. Use when the user asks for a hook, intro, lead, headline, first sentence, or attention-grabbing opener for a post, article, video, newsletter, ad, or landing page.

Edits and rewrites prose to improve clarity, flow, tone, and polish while preserving meaning and voice, as a substantive edit beyond grammar fixes. Use when the user says "improve this", "polish", "make this better", "make it flow", "edit my writing", or wants a draft, email, or paragraph refined.

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.

Fills visible job application forms by identifying every field, drafting grounded answers, flagging sensitive questions, and pausing before any submit step. Use when the user is filling out a job application, applying to a position, or completing a career page or hiring form.

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.

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 landing page for message clarity, audience fit, proof, calls to action, friction, and conversion improvements. Use when the user wants feedback on a landing page, homepage, pricing page, or signup page, asks for a website copy or CRO review, or wants to improve conversions or funnel performance.

Drafts short LinkedIn connection or outreach messages for recruiters, hiring managers, peers, and interviewers using the visible job or company context. Use when the user wants to write a LinkedIn message, connect with a recruiter, or reach out to someone about a job opportunity.

Translates and localizes text for a target language, region, and audience — adapts idioms, units, currency, dates, examples, formality, and tone while preserving the original message. Use when the user asks to translate, localize, internationalize (i18n), or adapt content for a specific country, language, or cultural audience.

Converts meeting notes, minutes, or call transcripts into decisions, action items with owners and deadlines, open questions, and a sendable recap. Use when the user shares meeting notes or a transcript, or asks for a meeting summary, recap, minutes, follow-ups, or takeaways.

Turns messy notes, pages, or selected text into a structured outline with headings, key points, evidence, and gaps. Use when the user wants to "organize my notes", "create an outline", "structure my thoughts", "outline from notes", or pull bullet points and key points out of rough material.

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.

Evaluates whether a portfolio project, side project, or resume project idea is worth building to land a target role, scoring role signal, uniqueness, demo ability, metrics, time to a working version, and interview-story potential. Use when the user asks if a project idea is worth building, wants to evaluate side projects for a job search, or wants to pick a project that signals to hiring managers.

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.

Explains how to pronounce and naturally use a selected word or phrase, with register, meaning, collocations, and example sentences. Use when the user asks "how do you pronounce / how do you say this", "what does X mean", or wants vocabulary and usage help for a foreign-language word or phrase.

Breaks a regular expression down into plain-language parts with examples of what it matches and what it rejects. Use when the user asks to explain, decode, or understand a regex, regexp, or pattern — "what does this regex match", "explain this pattern", a .match/.test call.

Drafts and refines replies for email, chat, Slack, comments, support tickets, and follow-up messages — adjusting tone and formality, summarizing prior context, and addressing every open question. Use when the user asks to reply to, respond to, or draft a response for a message, email, comment, or support thread.

Explains a repository's purpose, structure, setup and run commands, key scripts, and the first files worth opening. Use when the user wants to understand a new repo or codebase — "what does this project do", "how do I get started", "give me a codebase overview", "onboard me to this repo".

Expands selected or provided text with more detail, context, and smoother flow while preserving its meaning. Use when the user says "make this longer", "expand", "add more detail", "elaborate", or wants a short note, sentence, or paragraph lengthened.

Condenses selected or provided text to be shorter and more concise while keeping its essential meaning and details. Use when the user says "make this shorter", "shorten", "condense", "trim", "tighten", or "be more concise" about highlighted or provided text.

Turns a page, article, or product update into platform-ready social posts — Twitter/X threads, LinkedIn posts, and short captions with clear hooks, takeaways, and calls to action. Use when the user wants to repurpose content into social media, draft a tweet or thread, or write a LinkedIn or announcement post.

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.

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.

Creates a staged learning plan from a topic, course page, or documentation set with goals, practice tasks, and checkpoints. Use when the user wants a "study plan", "learning roadmap", "curriculum", "syllabus", "learning path", or asks "how do I learn X" or "help me learn X in N weeks".