📝Summarization Skills
Browse the best Summarization skills for Claude Code, Codex, Cursor and other AI agents.
91 skills · Page 1 of 4
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.
summarize
Summarize URLs or files with the summarize CLI (web, PDFs, images, audio, YouTube).
youtube-to-markdown
Use when user asks YouTube video extraction, get, fetch, transcripts, subtitles, or captions. Writes video details and transcription into structured markdown file.
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.
executive-briefing
Transforms research findings into executive-ready briefings. Automatically activated when user mentions 'executive', 'briefing', 'C-suite', 'board', 'leadership', or 'presentation'.
summarize
Summarize URLs or files with the summarize CLI (web, PDFs, images, audio, YouTube).
gemini-audio
Guide for implementing Google Gemini API audio capabilities - analyze audio with transcription, summarization, and understanding (up to 9.5 hours), plus generate speech with controllable TTS. Use when processing audio files, creating transcripts, analyzing speech/music/sounds, or generating natural speech from text.
youtube-transcript
Fetch transcripts from YouTube videos for summarization and analysis.
youtube-wisdom
Extract wisdom, insights, and actionable takeaways from YouTube videos. Use when asked to analyse, summarise, or extract key learnings from YouTube content. Downloads video transcripts, performs analysis including summarisation, extracts key insights, notable quotes, structured summaries, and actionable takeaways.
extract-wisdom
Extract wisdom, insights, and actionable takeaways from text sources. Use when asked to analyse, summarise, or extract key learnings from blog posts, articles, markdown files, or other text content.
bulk-summarize
This skill should be used when the user asks to "summarize videos", "summarize podcasts", "research a topic using media", "bulk summarize content", "scan YouTube channels", "scan podcast feeds", "create podcast notes", "digest conference talks", "summarize Apple Podcasts", or mentions video/podcast research, media summarization, or bulk content processing.
data-synthesis
Synthesize findings from multiple research sources into coherent insights. Use when combining data from different sub-agents or research threads.
text-summarizer
Summarizes long text into key bullet points
descriptive-action
Use when the user asks to describe, summarize, analyze, compare, explain, or report on something (text, data, events, systems) without asking for recommendations or next steps.
content-documenter
Generate structured ContentSummary JSON from analyzed content.Use after media-reviewer to produce final output with all 16 fields.
synthesis-and-analogy
Use when synthesizing information from multiple sources (literature review, stakeholder feedback, research findings, data from different systems), creating or evaluating analogies for explanation or problem-solving (cross-domain transfer, "X is like Y", structural mapping), combining conflicting viewpoints into unified framework, identifying patterns across disparate sources, finding creative solutions by transferring principles from one domain to another, testing whether analogies hold (surface vs deep similarities), or when user mentions "synthesize", "combine sources", "analogy", "like", "similar to", "transfer from", "integrate findings", "what's it analogous to".
web-summary
Summarize web content including YouTube videos with semantic topic links for Logseq and Obsidian. Uses Z.AI service (port 9600) for cost-effective summarization. Supports markdown, plain text, and note-taking formats.
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)。
story-explanation
Create compelling story-format summaries using UltraThink to find the best narrative framing. Support multiple formats - 3-part narrative, n-length with inline links, abridged 5-line, or comprehensive via Foundry MCP. USE WHEN user says 'create story explanation', 'narrative summary', 'explain as a story', or wants content in Daniel's conversational first-person voice.
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.
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.