“knowledge extraction”的搜索结果

Knowledge Extraction — captures and routes knowledge at work boundaries. Use when you discover a pattern, make a decision, find a distinction, or complete a sub-task.

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Use when needing global or relational understanding of codebases or knowledge corpora. Keywords: GraphRAG, knowledge graph, entity extraction, community summarization, graph traversal, Microsoft GraphRAG.

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Complete knowledge domain for Firecrawl v2 API - web scraping and crawling that converts websites into LLM-ready markdown or structured data. Use when: scraping websites, crawling entire sites, extracting web content, converting HTML to markdown, building web scrapers, handling dynamic JavaScript content, bypassing anti-bot protection, extracting structured data from web pages, or when encountering "content not loading", "JavaScript rendering issues", or "blocked by bot detection". Keywords: firecrawl, firecrawl api, web scraping, web crawler, scrape website, crawl website, extract content, html to markdown, site crawler, content extraction, web automation, firecrawl-py, firecrawl-js, llm ready data, structured data extraction, bot bypass, javascript rendering, scraping api, crawling api, map urls, batch scraping

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Audit informational pages so AI assistants can extract and understand their content. Review headings, HTML structure, content availability without JavaScript, and structured data, then suggest changes that make individual sections clearer when read on their own.

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• Review pages intended for AI-generated answers
• Make headings and sections understandable on their own
• Check whether key content is available without JavaScript

Build a screening pipeline for web pages, PDFs, and images before an AI agent reads them. Extract hidden text, check for malicious instructions with detection models, and record decisions to block or allow content.

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• Screening external content before an agent reads it
• Checking uploaded PDFs and images for hidden instructions
• Scanning documents before adding them to a knowledge base

Turn videos, audio, PDFs, books, screenshots, and GitHub repositories into knowledge pages with summaries and highlights. Preserve original files, extract people and companies, and connect the material to their pages and timelines for later reference.

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• Saving key points from YouTube videos or podcasts
• Organizing PDF and book summaries by subject
• Extracting text and entities from screenshots

Develop C++ bots that join existing Zoom meetings from Linux servers without a graphical interface. Follow guidance for recording raw audio and video, feeding transcription or AI workflows, and handling authentication, recording permissions, and Docker audio setup.

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• Build a bot that automatically joins and records Zoom meetings
• Feed meeting audio into a transcription service
• Connect transcripts to AI summaries and action item extraction

Open existing PDFs in an interactive viewer to review pages together, highlight text, add comments or stamps, fill forms, and place signature images. Check changes visually and download the annotated document from the viewer.

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• Reviewing contract terms with highlights and comments
• Filling PDF forms while checking the page
• Placing signature or initials images

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

Quick capture URLs with automatic content extraction, insights, and categorization into knowledge booklets

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学习笔记自动化：视频/播客转录 → 知识点提取 → 闪卡生成 → 知识图谱更新。触发词：学习笔记、闪卡、Anki、知识提取、视频学习

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Expert knowledge for Microsoft Foundry Tools (aka Azure AI services, Azure Cognitive Services) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when using Content Moderator, Content Safety, Content Understanding analyzers, REST/.NET APIs, or document extraction workloads, and other Microsoft Foundry Tools related development tasks. Not for Microsoft Foundry (use microsoft-foundry), Microsoft Foundry Classic (use microsoft-foundry-classic), Microsoft Foundry Local (use microsoft-foundry-local).

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Digital archiving with AI enrichment and entity extraction. Use when building content archives or knowledge graphs.

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Run focused Firecrawl workflows for research, documentation lookup, SEO audits, QA, lead discovery and enrichment, business contacts, current jobs, fantasy decisions, brand assets, knowledge bases and website design systems. Use when the user wants a sourced answer or deliverable from a workflow rather than raw extraction or product-code integration.

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Run focused Firecrawl workflows for research, documentation lookup, SEO audits, QA, lead discovery and enrichment, business contacts, current jobs, fantasy decisions, brand assets, knowledge bases and website design systems. Use when the user wants a sourced answer or deliverable from a workflow rather than raw extraction or product-code integration.

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Design, build, evaluate, or teach graph-based systems. Use for knowledge graphs, ontology/schema design, entity/relation/event extraction, entity resolution and fusion, GraphRAG or graph memory, and agent/task dependency graphs with concurrency, joins, failure handling, verification, or human gates.

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Enhanced web search and real-time content retrieval via Grok API with forced tool routing. Use when: (1) Web search / information retrieval / fact-checking, (2) Webpage content extraction / URL parsing, (3) Breaking knowledge cutoff limits for current information, (4) Real-time news and technical documentation, (5) Multi-source information aggregation. Triggers: "search for", "find information about", "latest news", "current", "fetch webpage", "get content from URL". IMPORTANT: This skill REPLACES built-in WebSearch/WebFetch with Grok Search tools.

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Perform controlled dismantling of rigid system structures while preserving essential capabilities (imaginal discs). Covers rigidity mapping, dissolution sequencing, knowledge extraction, interface archaeology, and safe decomposition of technical debt and organizational calcification. Use when assess-form classified the system as PREPARE or CRITICAL, when a system is so calcified that incremental change is impossible, when technical debt blocks all forward progress, or before adapt-architecture when the current form must be softened before it can be reshaped.

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Fires after fixing any non-trivial bug or regression. Asks: could the graph have caught this as a guarantee? Pairs with reflection-in-and-on-action — picks up after "earliest catchable signal" and asks the next question: was that signal expressible in graph? Triggers: (1) after any non-trivial bug fix is verified working, (2) after a regression report (something used to work, broke), (3) during step 6 (knowledge extraction) of the workflow, (4) when reflection-on-action surfaces a "would have been catchable" signal. Outcome is a triage decision (graph-reachable? rule expressible? rule sound?) and either a draft Linear issue + guarantee proposal, or a recorded "graph capability gap" note. Never auto-creates guarantees.

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Convert unstructured documents into LLM-ready structured data. Supports PDF, Word, PPT, and images; extracts paragraphs, formulas, tables, charts, and other elements in one step; generates up to 8 levels of headings; and outputs Markdown organized in reading order. Useful for field extraction, comparison and validation, knowledge retrieval, and intelligent Q&A.

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Orchestrator for the learn-from suite - auto-detects source type (academic paper, GitHub repo, blog/web article, or in-conversation learnings) and routes to the correct sub-skill for credibility check, security scan, insight extraction, and application. Load when the user says "learn from", "learn from this", "extract insights from", "apply learnings from", "what can we learn from", or provides a URL, file path, or pasted content that should be ingested as knowledge. Single entry point for all learning workflows.

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