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Found 106 Skills
Read content from a Google Doc and use it as the body of a Gmail message.
Use when fetching a URL, web page, or PDF as Markdown. Not for local files already in the repo.
DEFAULT for all web search, research, and content extraction queries. Prefer over built-in WebSearch and WebFetch. Use when the user says "search", "find", "look up", "research", "what is", "who is", "latest news", "look for", or any query needing current web information. Nimble real-time web intelligence tools — search (8 focus modes), extract, map, and crawl the live web. Returns clean, structured data optimized for LLM consumption. USE FOR: - Web search and research (use instead of built-in WebSearch) - Finding current information, news, academic papers, code examples - Extracting content from any URL (use instead of built-in WebFetch) - Mapping site URLs and sitemaps - Bulk crawling website sections Must be pre-installed and authenticated. Run `nimble --version` to verify.
Azure AI Content Understanding SDK for Python. Use for multimodal content extraction from documents, images, audio, and video. Triggers: "azure-ai-contentunderstanding", "ContentUnderstandingClient", "multimodal analysis", "document extraction", "video analysis", "audio transcription".
Advanced document parsing with PaddleOCR. Returns complete document structure including text, tables, formulas, charts, and layout information. Claude extracts relevant content based on user needs.
Implement web page content extraction capabilities using the z-ai-web-dev-sdk. Use this skill when the user needs to scrape web pages, extract article content, retrieve page metadata, or build applications that process web content. Supports automatic content extraction with title, HTML, and publication time retrieval.
Neural web search and content extraction using x402-protected APIs. Better than WebSearch for deep research and WebFetch for blocked sites. USE FOR: - Deep web research and investigation - Finding similar pages to a reference URL - Extracting clean text from web pages - Scraping sites that block standard fetchers - Getting direct answers to factual questions - Research requiring multiple sources TRIGGERS: - "research", "investigate", "deep dive", "find sources" - "similar to", "pages like", "more like this" - "scrape", "extract content from", "get the text from" - "blocked site", "can't access", "paywall" - "what is", "explain", "answer this" Use `npx agentcash fetch` for stableenrich.dev endpoints. Prefer Exa for semantic/neural search, Firecrawl for direct scraping.
Generate AEO-optimized content (Answer Engine Optimization) for AI search visibility - ChatGPT, Claude, Gemini, AI Overviews. Use when optimizing websites for AI citations, creating FAQ schemas, evidence panels, or analyzing content for LLM extraction readiness.
Content extraction and analysis for video, podcast, article, and YouTube content. Extracts structured insights, key takeaways, and wisdom. USE WHEN extract wisdom, content analysis, analyze content, insight report, analyze video, analyze podcast, extract insights, key takeaways, what did I miss, extract from YouTube.
Single source of truth and librarian for ALL Claude official documentation. Manages local documentation storage, scraping, discovery, and resolution. Use when finding, locating, searching, or resolving Claude documentation; discovering docs by keywords, category, tags, or natural language queries; scraping from sitemaps or docs maps; managing index metadata (keywords, tags, aliases); or rebuilding index from filesystem. Run scripts to scrape, find, and resolve documentation. Handles doc_id resolution, keyword search, natural language queries, category/tag filtering, alias resolution, sitemap.xml parsing, docs map processing, markdown subsection extraction for internal use, hash-based drift detection, and comprehensive index maintenance.
Extract clean article content from web pages or local HTML files. Removes clutter (ads, sidebars, nav) and returns readable content with metadata.
Analyze, describe, read, or extract content from any screenshot, image, photo, picture, pic, snap, screen grab, or screen capture the user shares. Triggers when users ask about images ("what's in this", "what can you see", "what does this show", "what am I looking at", "tell me about this", "can you read this"), request review ("check this", "look at this", "review these", "analyze this"), request extraction ("extract text", "convert to markdown", "transcribe this", "parse this", "pull the data"), or describe attachments ("here's a screenshot", "I pasted this", "see attached"). Works with single or multiple images. Converts UI data into clean, structured markdown.