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Found 56 Skills
Fetch recent posts from one or more X/Twitter accounts through twitterapi.io, output structured JSON/CSV records, optionally sync records to Feishu/Lark Bitable through feishu-cli, and optionally guide recurring execution through OpenClaw, Codex automations, cron, or launchd. Use when the user wants to monitor X bloggers, collect recent tweets, export tweet metrics, append tweets to Feishu Bitable, or set up a scheduled Twitter/X account tracking workflow.
Use for all CEL and mito work on integrations that collect from APIs — writing CEL programs, cel.yml.hbs templates, manifest configuration, mock-first development with the mito CLI, system test mock setup, and answering CEL/mito questions. Load this skill whenever any data stream uses the cel input type.
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.
This skill helps users automatically extract complete Markdown content from any website via the BrowserAct Web Search Scraper API. The Agent should proactively apply this skill when users express needs like extract complete markdown from a specific website, scrape the content of an article link, get the text from a target url, convert a webpage to markdown format, fetch the main content of a blog post, extract data from a given web page, parse the html of a website into markdown, download the readable text from a news article, obtain the content of a tutorial page, extract all the markdown text from any http or https url, scrape documentation from a web link, or grab the text of a single webpage.
Web scraping via progressive escalation and social media platform scrapers. USE WHEN scraping, crawl, scrape URL, bot detection, CAPTCHA, spider.
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.
Research YouTube channel summaries, audience comment samples, downloadable video records, and public videos using hosted collection capability. Use this when the user wants YouTube account research or public video metrics.
Population genetics research using the 1000 Genomes Project (IGSR) -- search populations by superpopulation ancestry (AFR, AMR, EAS, EUR, SAS), retrieve samples by population code, list available data collections, and integrate with GWAS tools for population stratification analysis. Use when users ask about 1000 Genomes populations, sample ancestry, allele frequency variation across continental groups, population-specific GWAS interpretation, or IGSR data collections like the 30x high-coverage resequencing or HGSVC.
COO Social Media Operation Skill: Automated Operation of Xiaohongshu, Douyin, WeChat Official Account, and WeChat Channels using Playwright MCP
Oxylabs integration. Manage Organizations. Use when the user wants to interact with Oxylabs data.
Form UX patterns, field types, multi-step wizards, and layout. Use when building forms, registration flows, or any data collection interfaces.
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.