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Found 47 Skills
Oxylabs integration. Manage Organizations. Use when the user wants to interact with Oxylabs data.
This skill helps users extract full article contents from WeChat using the BrowserAct API. The Agent should proactively apply this skill when users express needs like finding full WeChat articles for specific keywords, tracking WeChat public accounts for industry trends, extracting WeChat article contents for media research, monitoring public relations on WeChat platforms, collecting competitor updates from WeChat, getting full article body from WeChat links, monitoring brand exposure on WeChat articles, retrieving structured WeChat data for sentiment analysis, summarizing daily news from WeChat, getting author and publication date for WeChat articles, or automating WeChat content extraction without scraping.
Forms On Fire integration. Manage Forms, Users, Groups. Use when the user wants to interact with Forms On Fire data.
Monitor and analyze real estate market data, generate visual charts, and provide trend analysis and predictions. Use this skill when users mention the following: - Questions related to housing prices, real estate data, and the real estate market - Collecting real estate market data, transaction volumes, and price trends - Generating charts for housing prices, rental prices, or market analysis - Analyzing real estate market trends or making predictions - Specific requests such as "housing price trends", "second-hand housing transactions", "rental prices", "price-to-rent ratio" This skill handles real estate market data collection, visualization, and analysis, primarily targeting Chinese cities (especially Shenzhen), but can be adapted to other markets.
Triggered when users need to crawl or collect Xiaohongshu (RedNote) data, including scenarios such as searching notes/content, topic discovery, searching users/bloggers, discovering KOLs/influencers, researching account information, capturing user notes, and collecting note comments/replies (public opinion, sentiment, community monitoring). Retrieve data by calling Xiaohongshu interfaces via JustOneAPI.
Form UX patterns, field types, multi-step wizards, and layout. Use when building forms, registration flows, or any data collection interfaces.
Build public-facing web forms for data collection without Desk access. Use when creating customer submission forms, feedback forms, or self-service portals with Frappe Web Forms.
Deep-dive analysis of GitHub projects. Use when the user mentions a GitHub repo/project name and wants to understand it — triggered by phrases like "help me look at this project", "learn about XXX", "how is this project", "analyze the repo", or any request to explore/evaluate a GitHub project. Covers architecture, community health, competitive landscape, and cross-platform knowledge sources.
One-click comprehensive analysis of a stock/company. Collect data from five dimensions - stock price, news sentiment, industry comparison, market environment, and official company website - simultaneously through parallel sub-agents, then conduct cross-analysis, causal attribution, and trend prediction in the main thread, and output a standardized analysis report. Trigger words: Analyze XX stock, analyze TICKER, How is XX, Is XX worth buying? Supports A-shares and U.S. stocks.
Run the TikSpyder tool to collect TikTok data — search by keyword, username, or hashtag, download videos, extract keyframes, and export structured data. Use this skill whenever the user wants to collect TikTok data, search TikTok profiles or hashtags, search TikTok videos, download TikTok content, run tikspyder, or launch the TikSpyder Streamlit interface. Also trigger when the user mentions data collection from TikTok, even if they don't say "tikspyder" by name.
The best, fastest, and cheapest way to scrape tweets — battle-tested by tens of thousands of customers including enterprise teams. Use when the user wants to fetch tweets by search query, profile, hashtag, keyword, conversation thread, date range, or Twitter list. Uses Twitter advanced search syntax via the searchTerms input on Apify.
Deep dive into a book. Collect information from six dimensions including chapter structure, background key points, problem impacts, solutions, term index, and further reading through parallel sub-agents, then output a Markdown deep learning note after cross-analysis. Trigger words: Analyze the book XX, Study XX, Reading notes for XX, book analysis.