Multiple YouTubes cross analysis
Instructions
Core Task
For 3–5 YouTube videos or podcasts on the same topic selected by the user. The goal: ignore source boundaries, build a unified timeline or logic tree, generate a Conflict Radar Report, and produce a Cross-Source Terminology Map.
Before executing, ask the user to select the YouTube videos/podcasts they want to analyze.
Step 1: Logical Alignment
Goal: Piece together the "fragments" from different creators into one coherent picture.
Actions:
De-duplicate & Reorganize: Ignore the original structure of videos A, B, and C. Group all content by theme—definitions, history, applications, etc.
Unified Framework: Arrange insights in a logical progression (e.g., What → Why → How) to create a comprehensive Master Guide.
Step 2: Conflict Radar
Goal: Sharpen critical thinking by identifying where experts disagree.
Actions:
Spot Contradictions: Scan for opinion clashes across sources (e.g., Creator A recommends a tool while Creator B warns against it).
Side-by-Side Comparison: Output a table listing the Point of Contention, Creator A's View, Creator B's View, and the reasoning behind each.
Content gerated attached to the "Logical Alignment" page.
Step 3: Terminology Mapping
Goal: Eliminate confusion caused by different terms for the same concept.
Actions:
Identify Aliases: Detect when different speakers use different names for the same idea (e.g., "loss function" vs. "cost function").
Generate a Mapping Table: Standardize terminology with a reference chart that notes each creator's "dialect."
Content gerated attached to the "Logical Alignment" page, right behind Conflict Radar
Make sure the output from three steps are wirtten on the same page.
Description
Recommended by
nene@YouMind
Why we love this skill
Unify disparate YouTube content into a single, coherent narrative with this powerful skill. It intelligently cross-analyzes multiple videos on the same topic, generating a unified timeline, identifying conflicting viewpoints, and mapping terminology. Perfect for deep-diving into complex subjects and gaining a comprehensive understanding across various expert perspectives.
Synthesize multiple YouTube episodes into a unified framework, automatically surface conflicting viewpoints, and build a more objective, well-rounded understanding.
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Multiple YouTubes cross analysis
Instructions
Core Task
For 3–5 YouTube videos or podcasts on the same topic selected by the user. The goal: ignore source boundaries, build a unified timeline or logic tree, generate a Conflict Radar Report, and produce a Cross-Source Terminology Map.
Before executing, ask the user to select the YouTube videos/podcasts they want to analyze.
Step 1: Logical Alignment
Goal: Piece together the "fragments" from different creators into one coherent picture.
Actions:
De-duplicate & Reorganize: Ignore the original structure of videos A, B, and C. Group all content by theme—definitions, history, applications, etc.
Unified Framework: Arrange insights in a logical progression (e.g., What → Why → How) to create a comprehensive Master Guide.
Step 2: Conflict Radar
Goal: Sharpen critical thinking by identifying where experts disagree.
Actions:
Spot Contradictions: Scan for opinion clashes across sources (e.g., Creator A recommends a tool while Creator B warns against it).
Side-by-Side Comparison: Output a table listing the Point of Contention, Creator A's View, Creator B's View, and the reasoning behind each.
Content gerated attached to the "Logical Alignment" page.
Step 3: Terminology Mapping
Goal: Eliminate confusion caused by different terms for the same concept.
Actions:
Identify Aliases: Detect when different speakers use different names for the same idea (e.g., "loss function" vs. "cost function").
Generate a Mapping Table: Standardize terminology with a reference chart that notes each creator's "dialect."
Content gerated attached to the "Logical Alignment" page, right behind Conflict Radar
Make sure the output from three steps are wirtten on the same page.
Description
Recommended by
nene@YouMind
Why we love this skill
Unify disparate YouTube content into a single, coherent narrative with this powerful skill. It intelligently cross-analyzes multiple videos on the same topic, generating a unified timeline, identifying conflicting viewpoints, and mapping terminology. Perfect for deep-diving into complex subjects and gaining a comprehensive understanding across various expert perspectives.
Synthesize multiple YouTube episodes into a unified framework, automatically surface conflicting viewpoints, and build a more objective, well-rounded understanding.
Related Skills
View all
ResearchAI Paper Master
Helps product managers, founders, and app developers understand AI papers through historical causal links, turning those insights into product judgments, technical boundaries, engineering intuition, and opportunity analysis.
ResearchAll-Around Movie Buddy Pro
Your all-around movie buddy—worth using for any movie. Before the movie, it catches you up and helps you decide if it's worth watching; after the movie, it becomes an Easter egg hunter, searching the web for hidden details and foreshadowing; after chatting, it helps you write a human-sounding review or organize an analysis video script, ready to publish. One buddy, three stages of companionship for your entire movie-watching journey. 🔍 Transparent sourcing, not AI making things up: Every piece of analysis lets you know where it came from—verifiable findings name the source and include a clickable link (Douban, Zhihu, director interviews, etc.). The buddy's interpretations are labeled in natural language with phrases like "the buddy thinks" (not pretending to be authoritative), and things yet to be verified simply say "no reliable source found yet." You can tell at a glance which items are from the web and which are the buddy's own reasoning—they're never mixed up. Every verifiable analysis includes a source link so you can jump to the original material in one click. 📚 Pre-movie catch-up: fast, accurate, and spoiler-free. No time to watch the previous installments before a sequel? Get a quick recap of the story, character relationships, key terminology, and what to expect—only reviewing earlier works and never spoiling the new film. The briefing files are richly illustrated with official posters, concept art, and other public images. There's also an "Is it worth watching?" assessment that checks Douban, Rotten Tomatoes, and IMDb reviews, analyzing the gap between promotional hype and the actual experience. 🥚 Post-movie Easter egg hunter for satisfying deep dives. After the movie, if you're left wondering "What did that detail mean?" it searches the web for Easter eggs, setups and payoffs, character arcs, and cultural references. It answers in a conversational Q&A style—you ask, and it digs up whatever you're curious about. When key scenes come up, it can include public movie stills, and each analysis includes source links. 📝 Note formatting, ready to publish (optional): Want to share after chatting? It can produce a human-sounding review (with opinions and emotions, like something written by a real person—suitable for Douban, WeChat official accounts, and Moments) or a movie analysis video script (with storyboard annotations, and visuals, narration, and on-screen text all set up, ready to cut and post—suitable for Xiaohongshu, Douyin, and Bilibili). The buddy doesn't proactively offer this—it only triggers when you explicitly ask. 🎬 Covers most movies, animation, and TV series. For each popular release, the experience is pre-movie briefing + post-movie deep dive = one complete journey, with note formatting on demand.
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Provide a book title (and optionally your occupation, position, or identity). Using the framework of 'Four Questions of an Active Reader' from *How to Read a Book*, this skill flexibly combines existing knowledge, web search, and any materials you upload to produce a structured reading document containing an author bio, a four-question analysis, 10 key quotes, and recommendations for 3 related books.
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