📝Summarization Skills
Browse skills in the Summarization category.
logseq-daily-summary
Create and append a <=300 Chinese-character daily summary into LogSeq journals. Use when the user asks to summarize today’s LogSeq journal, analyze a specific day’s journal, or write a daily summary back into LogSeq.
web-fetch
Fetch and summarize any web content (website, youtube videos, etc.)
analyze-documents
Analyzes all documents in a folder and creates a comprehensive summary. Use when asked to summarize documents, understand a collection of files, get an overview of materials, or analyze what's in a folder.
executive-summary-writer
Create concise executive summaries and TL;DR versions of long documents
yux-video-summary
Organize video transcript into structured summary. Triggers: "summarize video", "video summary", "content summary", "organize transcript", "整理视频", "视频摘要", "内容总结".
summarization-engine
Generate accurate summaries of long documents and text collections
content-transformation
Convert content between formats, summarize at different levels, and repurpose for various platforms. Use when asked to convert to markdown, create summaries of varying lengths, make tweets, create flashcards, or process video content. Triggers include "convert to markdown", "summarize in one sentence", "make this a tweet", "create flashcards", "TL;DR", "summarize this video", "export as CSV".
research-synthesizer
Synthesizes provided sources neutrally; separates quotes from paraphrase and avoids ungrounded claims.
thread-analysis
Analyze Twitter/X threads to extract insights from viral and educational content. Use when the user mentions Twitter, X, thread, tweets, viral thread, or provides a twitter.com or x.com URL.
pdf-analysis
Analyze PDF documents including reports, whitepapers, ebooks, and manuals. Use when the user mentions PDF, document, whitepaper, ebook, report file, or wants to analyze a .pdf file.
article-analysis
Analyze blog posts and web articles by fetching content from URLs. Use when the user mentions blog post, article, Substack, Medium, web page, newsletter, or provides a URL to analyze.
summarizer
Summarizes large text content into concise summaries
document-summarizer
Summarize long documents with key points and abstracts. Use when creating executive summaries or condensing content.
youtube-analysis
Analyze YouTube video transcripts to extract summaries, key takeaways, and insights. Use when the user mentions YouTube, video transcript, video analysis, provides a YouTube URL, or wants to analyze a .txt file containing a video transcript.
book-report
Comprehensive research and analysis of books with actionable insights, hidden gems, and personalized recommendations. Use when the user requests book research, book reports, book analysis, or says "Research Book" followed by a book title. Adapts to project context (professional, personal, academic, hobby).
text-summarizer
Advanced text summarization and translation service with async processing capabilities. Use when users need to: (1) Summarize large text datasets from CSV/DataFrame, (2) Batch process text documents with length-based intelligent routing, (3) Translate shorter text content, (4) Configure custom processing parameters for text analysis workflows, (5) Handle text processing tasks requiring async operations for performance.
compose-digest
Compose a formatted news digest from processed articles and trends. Uses LLM to generate cohesive narrative summary with embedded citations. Formats for Discord readability.
summarizer
Generate summaries of documents, code, and conversations. Use for documentation, reports, and content condensation.
analyze-article
Use LLM to analyze a raw article. Generates summary, extracts entities, categorizes content, assigns importance score, and detects breaking news.
transcribe-and-analyze
Transcribe audio and video from URLs (YouTube, direct media links) using WhisperKit locally. Optionally analyze transcripts with AI when explicitly requested. Use when users provide URLs to media content and request transcription or speech-to-text conversion.
youtube-transcript
Extract transcripts from YouTube videos. Use when the user asks for a transcript, subtitles, or captions of a YouTube video and provides a YouTube URL (youtube.com/watch?v=, youtu.be/, or similar). Supports output with or without timestamps.
thoughts-analyzer
Extract key insights from research documents
graph-of-thoughts
INVOKE after research or brainstorming to synthesize findings. Produces visible aggregation with conflict resolution. Use when multiple inputs need combining into coherent output. Triggers: synthesizing research, combining ideas, merging approaches, integrating findings.
discord-chat-summary
Summarize Discord chat messages across servers. Use when user asks for chat summary, digest, highlights, recap, or overview of Discord conversations.
news-summary
This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.
chain-of-thought
複雑な問題を分解し、推論の流れを整理して短い根拠サマリーを作成するスキル。前提整理、論点分解、選択肢比較、判断理由の要約を通じて、説明責任のあるアウトプットを作る。Anchors:• The Pragmatic Programmer / 適用: 問題分解 / 目的: 実践的な整理• Thinking, Fast and Slow / 適用: 判断バイアス確認 / 目的: 判断根拠の明確化• Critical Thinking / 適用: 論点整理 / 目的: 根拠の一貫性Trigger:Use when structuring reasoning, summarizing decision rationale, clarifying assumptions, or documenting a step-by-step analysis.
summarizer
Summarize text, documents, or conversations. Use when you need a concise overview.
digest-generation
Generate a weekly AI intelligence digest from synthesized topic analyses and hype assessments. Use after synthesis and hype assessment to produce a readable, opinionated summary for sophisticated technical readers.
news-summary
Concise, structured summaries of news articles (~30 sec read time). Captures key points, context, bias/gaps, and open questions. Use when user shares article URL or asks to summarize news content.
ai-transcript-analyzer
Analyze transcript files using OpenAI API (gpt-5-mini) to extract insights, summaries, key topics, quotes, and action items. This skill should be used when users have transcript files (from WhisperKit, YouTube, podcasts, meetings, etc.) and want AI-powered analysis, summaries, or custom insights extracted from the content. Supports both default comprehensive analysis and custom prompts for specific information extraction.
novel-analyzer
四阶段小说精读分析工作流。用于深度分析长篇小说的情节、人物、文风和主题。触发条件：用户请求分析/精读/深度解读小说文本，或需要生成文学分析报告、人物弧光追踪、文风研究、角色档案。执行流程：粗读提取元数据 → 并行精读分块（自动计算分块数和边界）→ 整合生成中文深度报告 → (可选)生成角色档案。输出包含情节梳理、人物列传、文体分析、修辞手法、黄金语录、角色心理侧写。适用于中长篇小说（5k行以上）。
chapter-summarizer
Summarizes any chapter into 6–8 bullet points with bold key terms
podcast-analysis
Analyze podcast episodes from transcripts, audio URLs, or audio files. Use when the user mentions podcast, episode, audio transcript, interview, or provides a podcast file/URL.
summarization
Condenses long documents, conversation logs, or transcripts into concise summaries. Supports retrieval from memory/files, multiple output formats (bullet points, paragraphs, executive summary), and customizable detail levels. Use when the user needs to quickly understand large amounts of text content.
text-summarizer
Summarizes long text into key bullet points
compression-dynamics
Pressure births diamonds, stars, and insights. Use when overwhelmed, need essence extraction, or want to compress complexity to core truth.
summarize
Summarize URLs or files with the summarize CLI (web, PDFs, images, audio, YouTube).
summarizing-websites
Extract clean article content from URLs (blog posts, articles, tutorials). Use when user wants to download, extract, or save an article/blog post from a URL without ads, navigation, or clutter.
feed-digest
RSS/Atom 信息源聚合摘要。使用此 skill 当用户要求：(1) 获取 RSS/Feed 摘要，(2) 查看订阅源更新，(3) 总结今日信息流，(4) 分析多个信息源内容。支持智能分类、10分制评分筛选、关键词过滤。
document-summarizer
Summarize long documents with key points and abstracts. Use when creating executive summaries or condensing content.
text-summary
将长文本压缩为简洁摘要，支持多种语言
chapter-summarizer
Summarizes any chapter into 6–8 bullet points with bold key terms
summarize-robotics-text
Summarize robotics-related text, research papers, or lecture notes into concise, clear, and structured summaries. Use when user asks to condense or simplify robotics content.
article-analysis
Analyze blog posts and web articles by fetching content from URLs. Use when the user mentions blog post, article, Substack, Medium, web page, newsletter, or provides a URL to analyze.
podcast-analysis
Analyze podcast episodes from transcripts, audio URLs, or audio files. Use when the user mentions podcast, episode, audio transcript, interview, or provides a podcast file/URL.
thread-analysis
Analyze Twitter/X threads to extract insights from viral and educational content. Use when the user mentions Twitter, X, thread, tweets, viral thread, or provides a twitter.com or x.com URL.
youtube-analysis
Analyze YouTube video transcripts to extract summaries, key takeaways, and insights. Use when the user mentions YouTube, video transcript, video analysis, provides a YouTube URL, or wants to analyze a .txt file containing a video transcript.
text-summary-guide
Guide for AI agent to perform text summary task.
mindwork-summary
Generate summaries of therapy sessions and journal entries at various lengths and for different audiences. Supports action item extraction, highlights reels, and session prep. Use for quick recaps, sharing with others, or preparing for your next session.
youtube-summary
Summarize YouTube videos. Check if transcript exists at `youtube/{Channel Name}/transcript-{Video Title}.md`. If exists, skip to summarization. If not, download first. Create summary at `youtube/{Channel Name}/summary-{Video Title}.md` with topics and clickable timestamp links.