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Found 107 Skills
This skill automates the extraction of structured news data from Google News via BrowserAct API. Use this skill when the user asks for tasks such as searching for news about a specific topic, tracking industry trends, monitoring public relations or sentiment, collecting competitor updates, getting the latest reports on specific keywords, monitoring brand exposure in media, researching market hot topics, summarizing daily industry news, tracking media activities of specific individuals, retrieving hot events from the past 24 hours, extracting structured data for market research, monitoring global breaking news.
Firecrawl v2.5 API for web scraping/crawling to LLM-ready markdown. Use for site extraction, dynamic content, or encountering JavaScript rendering, bot detection, content loading errors.
Pull Bigdata.com (RavenPack) financial and news data through the official `bigdata-client` SDK and its public `/v1/*` REST endpoints when the Bigdata MCP server returns only pre-synthesized tearsheets but you need the machine-readable substrate underneath. MCP search returns prose chunks (text + relevance only — no per-chunk sentiment, no entity spans); its tearsheets give only aggregate values, not computable time series or per-field JSON. This skill bundles a verified, cost-guarded toolkit over the official REST API: annotated chunk search, entity/ISIN resolution, analyst estimates, calendar/surprise/ ratings/targets, financial statements, TTM metrics & ratios, prices, dividends, revenue segments, a daily entity-sentiment series, co-mention graph, screener, and batch search. Use it whenever the user mentions Bigdata.com, RavenPack, a `bd_v2_` key, the bigdata MCP, rp_entity_id, chunk/query_unit cost, or wants structured financials, fundamentals, prices, sentiment, or annotated news.
Extract structured fields, original text locations, missing items, and supportable judgments from papers and supplementary materials. Use when the user asks for "extract this paper", "batch extract paper information", "create paper cards", or requests the rw-paper-extractor workflow. Runs without a private local workspace or preset research-lab; use user-provided material and bundled public-source methods.
Pull structured data from messy text using AI. Use when parsing invoices, extracting fields from emails, scraping entities from articles, converting unstructured text to JSON, extracting contact info, parsing resumes, reading forms, or any task where messy text goes in and clean structured data comes out. Powered by DSPy extraction.
Extract structured data from 40+ websites including Amazon, LinkedIn, Instagram, TikTok, Facebook, YouTube, and more. Uses Bright Data's Web Data APIs with automatic polling. Returns clean JSON with product details, profiles, reviews, posts, and comments.
Use this skill when auditing SEO, analyzing Core Web Vitals, verifying meta tags, checking structured data, or troubleshooting analytics implementations. Covers Google Search Console, Google Analytics 4, Cloudflare Web Analytics, and technical SEO best practices.
Use when querying, transforming, or editing structured data (JSON, YAML, TOML, XML, CSV). Prefer these tools over grep/sed/awk on structured formats.
Extracts structured practitioner data from healthcare practice websites. Returns names, credentials, specialties, contact info, and education for every provider on a practice's site. Use when user asks to extract, pull, or list doctors, providers, or staff from practice websites. Triggers: "extract doctors from", "pull providers from", "who are the providers at", "build a provider database", "list all doctors at", "scrape the team page", "get practitioner data from". Accepts practice URLs (pasted, CSV, Google Sheet) or discovers practices via Google Maps when given specialty + location. Single sites or 100+ URLs. Do NOT use for filling data gaps — use healthcare-providers-enrich instead. Do NOT use for credential validation — use healthcare-providers-verify instead. Do NOT use for discovering practices — use market-finder or local-places instead. Do NOT use for general extraction — use nimble-web-expert instead.
Extract data from construction images using AI Vision. Analyze site photos, scanned documents, drawings.
Extract structured JSON data from text using Zod schemas
Perform web-based image searches for given topics to find suitable image materials. Use DuckDuckGo Image Search, supporting filtering by size, color, type, and copyright. Return structured information such as image URLs, thumbnails, sources, etc.