调研与学习技能

Guide role-specific work in LoopX auto-research, from defining research conditions and proposing hypotheses to experiments, evaluation, and adoption or retirement decisions. Keep evidence, failed attempts, task handoffs, and stopping conditions tied to each worker’s assigned role.

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• Define research objectives, metrics, and editable scope
• Record hypotheses and unsuccessful research directions
• Run a selected experiment and capture evidence

Use the nlm command-line tool or MCP tools to manage Gemini Notebook notebooks and sources, ask questions, discover research material, and generate content. Check account usage and reset times before work that depends on available quota.

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• Organize web, YouTube, and Google Drive sources
• Ask questions grounded in notebook sources
• Generate audio, reports, and study materials

Bring articles, YouTube videos, documents, and other sources into NotebookLM to create audio, slides, reports, and study materials. It also supports deeper analysis through a series of questions, with optional export to 飞书 documents.

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• Turn an article into audio for commuting
• Create slides from articles, videos, and PDFs
• Generate quizzes and flashcards for review

Learn Ouroboros through a short, hands-on interview about your own project idea. Turn your answers into a sample specification with goals, constraints, and checkable outcomes, then learn the commands for execution, evaluation, and next steps.

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• Trying Ouroboros for the first time
• Clarifying a vague project idea
• Learning how a Seed specification works

Collect an X conversation from its root post ID, including replies and nested replies visible to the logged-in account. Return structured text, author details, engagement counts, and reply relationships for reviewing discussions or preparing further analysis.

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• Collect replies to a widely discussed post
• Review question-and-answer discussions
• Reconstruct reply relationships in long conversations

Collect Trustpilot reviews for a company domain, with filters for ratings, language, dates, and reply status. Get structured review text, reviewer details, and company responses across pages to support reputation research and customer service analysis.

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• Collect low-rated reviews to study customer complaints
• Gather reviews for competitor reputation comparisons
• Collect company replies and their publication dates

Collect structured Google Images search results through the BrowserAct API. Set keywords, country, language, scrolling, and result limits to obtain titles, thumbnail URLs, source names, source logos, and destination links for visual research.

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• Find visual references for a topic
• Research competitor product imagery
• Compare image results across countries and languages

Search YouTube by keyword and collect linked video and comment datasets through the BrowserAct API. Gather titles, views, comment text, likes, and reply counts to support audience feedback research and topic monitoring.

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• Gathering viewer feedback for a specific topic
• Researching audience discussions around competitor videos
• Collecting comments about trending search terms

Search YouTube by keyword and upload period, then collect full transcripts and video details in batches through the BrowserAct API. Results include titles, video links, channels, and like counts for research or use in AI summarization workflows.

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• Collecting transcripts for videos on a topic
• Gathering transcripts from this week’s uploads
• Preparing video text for AI summarization

Search Google News by keyword and publication period through the BrowserAct API. Collect headlines, publishers, publication times, and article links in a structured form for industry research, brand coverage checks, and competitor news tracking.

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• Tracking news about an industry
• Checking brand coverage from the past 24 hours
• Collecting competitors’ news from the past week

Research a topic through BrowserAct web searches and organize findings into a report with source references. Filters for search engine, date range, content type, and result count help focus supplemental research and gather information from multiple sources.

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• Finding supplemental sources when direct web access fails
• Researching recent industry or market news
• Comparing facts and statistics across sources

Search Zhihu articles by keyword and publication period through the BrowserAct API. Retrieve full article text, titles, authors, dates, cover image URLs, and source links as structured data for industry research, brand monitoring, or competitor updates.

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• Research recent industry articles
• Track mentions of a brand or company
• Collect competitor product updates

Search WeChat articles by keyword and retrieve full text alongside titles, authors, publication dates, article links and cover image URLs. Set collection limits and publication date filters to gather material for topic, brand or competitor research.

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• Collecting WeChat articles about industry trends
• Researching brand and topic mentions
• Gathering articles for an internal knowledge base

Find social media profiles through Google using a person’s name, brand name, or username. Collect platform names, profile links, usernames, description snippets, and follower counts where they appear in search results.

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• Find a person’s profiles across social platforms
• Collect links to a brand’s social media pages
• Find influencer profile candidates

Extract structured product details from Walmart URLs, including prices, availability, specifications, images, and color or size options. Gather fulfillment choices, return policies, and review summaries to support product comparisons and catalog building.

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• Build a catalog from Walmart product URLs
• Compare product specifications and variants
• Check product prices and availability

Gather Product Hunt launches from daily, weekly, monthly, or yearly leaderboards. Collect rankings, descriptions, votes, and product links, with optional maker profiles and visible website email addresses for product discovery and competitor research.

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• Finding new products for a selected period
• Collecting rankings and votes for competitor research
• Researching makers and their profile links

Collect customer reviews for a Taobao or Tmall product using its item ID. Extract reviewer names, dates, purchased variants, review text, and photo URLs across review pages to prepare material for feedback analysis or review datasets.

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• Collecting customer reviews for a specific product
• Preparing review data for sentiment analysis
• Checking feedback by purchased product variant

Collect details from Taobao and Tmall product pages using a product ID. Gather titles, displayed prices, shop information, images, variant options, and attributes to build product records or compare items for research.

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• Building product records from product IDs
• Comparing product attributes and shop information
• Checking available colors and sizes

Collect product listings from Walmart category pages, including prices, ratings, availability, and seller details. Use filtered category URLs and browse multiple pages to gather structured data for product comparisons and category research.

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• Collecting products from a filtered category
• Comparing prices and ratings within a category
• Checking availability and seller information

Submit shopping questions to Amazon's Alexa/Rufus assistant and collect answers as JSON, a structured data format. Use product search results as context for category research, or run a series of general shopping questions.

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• Collecting product recommendations for a specific category
• Gathering answers to a batch of shopping questions
• Researching deals and shopping trends

Extract structured product records from Amazon URLs across regional sites, including price, stock, specifications, rating breakdowns, sellers, and visible variants. Use the records for competitor research, catalog audits, or tracking product prices and availability.

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• Collect product specifications for competitor research
• Prepare records for a brand catalog audit
• Check prices and stock for selected products

Collect ranked products from Amazon Best Sellers pages across regional sites. Return product titles, prices, ratings, product identifiers, category details, and pagination information for category research or repeated snapshots of ranking changes.

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• Collect bestseller lists by category
• Compare competing products by rank, price, and rating
• Build ranking history from repeated snapshots

Collect product listings from an Etsy shop URL, page by page. Return titles, images, current and original prices, ratings, review counts, and shipping badges to support shop comparisons, catalog collection, and repeated checks for changes.

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• Collect an Etsy shop's product catalog
• Compare competing shops' products and prices
• Check a specific shop's prices over time

Collect structured business data from Google Maps search results, including names, addresses, ratings, and price ranges. Set search terms, language, country, and result limits to build lists for sales prospecting or local market research.

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• Build a list of local sales prospects
• Research competitor locations in a city
• Compare restaurant ratings and price ranges