Deconstruct viral YouTube scripts

installedBy
689
categoryLabelLearn
fromYouMind

Why we love this skill

Uncover the secrets of viral YouTube success with this analytical powerhouse. It deconstructs top-performing videos, revealing their narrative structures, expression styles, and logical flow. Get a tailored "Style Analysis & Writing Recommendation Report," then generate a native-feel English script, ensuring your content is engineered for virality from the start.

Instructions

## Instructions

#### Description

Stop creating blindly. Through an industrialized workflow of "Collect → Deconstruct → Reconstruct," precisely benchmark against top-performing YouTube viral videos. Deeply analyze their topic angles, narrative structures, and authentic expressions. First produce strategic recommendations, then generate a "native-feel" English script, ensuring your content starts with viral DNA built in.

#### Core Task

For **$material "Your Video Topic"** (e.g., How To Get Your Attention Back), search YouTube and select **3 of the hottest similar videos**. Goal: Extract all subtitle scripts, analyze their **expression style, content structure, and logical progression**, output a **"Style Analysis & Writing Recommendation Report"**, and ultimately create a **Native English-style video script** based on that report.

Before starting, confirm the video topic with the user.

####

#### Execution Steps

**Step 1: Viral Video Mining & Extraction**

- **Goal**: Lock onto high-traffic territory and obtain raw data.

- **Actions**:

- **Smart Search**: Search YouTube for high-engagement videos related to the topic (sorted by view count/engagement rate).

- **Filter & Lock**: Select 3 most representative viral videos (excluding irrelevant or low-quality content).

- **Script Extraction**: Extract the complete subtitles (Transcript/Captions) from these videos and save as analysis material.

**Step 2: Deep Deconstruction & Style Analysis**

- **Goal**: Crack the "traffic code" behind viral hits.

- **Actions**:

- **Expression Analysis**: Analyze competitors' language style (humorous, serious, fast-paced), authentic native expressions, and rhetorical techniques.

- **Structure Deconstruction**: Dissect the video's narrative rhythm (Hook setup, story arc, logical progression/Logic Flow).

- **Presentation Techniques**: Identify their unique visual language or interaction methods.

Write

**Step 3: Strategy Output**

- **Goal**: Establish a "winning strategy" before writing.

- **Output**:

- **"Style Analysis & Writing Recommendation Report"**: A detailed analysis document containing: summary of competitors' success factors, recommended narrative structure for this topic, and tone/vocabulary suggestions to emulate in writing. If citing sources, include citations linking back to the original video URL and corresponding timestamp.

After output, ask the user to confirm. Proceed to final script creation only after user confirmation.

**Step 4: Script Creation**

- **Goal**: Create by standing on the shoulders of giants.

- **Actions**:

- **Strategy-Based Writing**: Strictly follow the recommendation report from Step 3.

- **Native Polishing**: Ensure the script language is highly authentic (Native Speaker Level), avoid "Chinglish," and incorporate the best expression techniques from the analyzed videos.

- **Final Output**: Generate a complete YouTube film

Write

description

Analyzes top YouTube hits, deconstructs their style, and crafts a native script with built-in engagement, ensuring your content resonates from the start.

Related Skills

View all
Classroom Explanation Diagram Generator

Classroom Explanation Diagram Generator

Transform the lecture transcript into a complete set of Keynote-style 16:9 teaching infographics, outputting both a text and image explanation version and a minimalist image collection in two documents. Each image represents a single concept, broken down into fine-grained steps; four ironclad rules of precision ensure quality; five types of visual templates are used; visual QA is performed on each image; and delivery is only after procedural verification.

empty
One Soft Thing

One Soft Thing

Share how you feel after work, and One Soft Thing will give you one small, doable evening activity, plus a gentle card to help you come back to yourself.

One Soft Thing
Multi-Agent Investment Research Team: A-Share Stock Selection and Investment Committee Analysis

Multi-Agent Investment Research Team: A-Share Stock Selection and Investment Committee Analysis

It's not an AI assistant, but a virtual investment research team. AI stock selection on the market often suffers from three common problems: fabricating financial figures and target prices, vaguely stating "positive/negative" factors, and simply giving a "buy recommendation" without providing any supporting evidence. The "Multi-Agent Investment Research Team" addresses these three points with a triple mechanism of "6 roles in parallel + cross-validation + mandatory source verification": it brings together researchers, fundamental analysts, technical analysts, sentiment analysts, risk officers, and investment managers to work in parallel, meeting and reaching conclusions like a real investment committee. What you receive is not a vague judgment, but a professional investment research report with facts, signals, disagreements, risks, and traceable data for every single figure. Two modes cover "researching a single stock" and "screening a batch of stocks." Mode A: In-depth analysis by the single-stock investment committee—Given a single stock (e.g., "analyzing BYD 002594"), the skill automatically convenes a complete investment committee meeting: Researchers aggregate market data, financial reports, research reports, and industry chain position, presenting only objective facts; fundamental analysts provide a financial health scorecard, key changes in the three financial statements, and PEG valuation calculations; technical analysts assess trends, moving averages, MACD, and support and resistance levels, and provide a five-point buy signal hit table; sentiment analysts scan for institutional disagreements, stock forum sentiment, and potential misinterpretations; risk officers dig up opposing evidence, refuting the optimistic conclusions of other roles point by point; finally, the investment manager does not touch new data, only integrates it, and produces investment committee minutes and a one-page summary. Mode B - Multi-condition Stock Selection Screening: From your specified range (CSI 300, a specific industry concept sector, or your own stock pool), a three-layer funnel filtering process is used: First, L1 financial hard screening (three consecutive quarters of growth, ample cash flow, PEG < 1 or a significant increase in contract liabilities); then L2 technical timing (platform breakout, golden cross of moving averages, breakout with increased volume, strong pullback with reduced volume, MACD crossing above the zero line); finally, L3 information verification (research report ratings and industry chain logic, eliminating targets with "purely technical analysis without fundamental logic"). After the candidate list is generated, the Top N targets can be automatically connected to Mode A for in-depth analysis. You will receive the following deliverables: Option A: Fixed delivery of the "five-piece set": ① A comprehensive analysis report integrating all six roles; ② Data sources and evidence tables, with each key conclusion corresponding to "Data → Source → Date"; ③ Meeting minutes of the investment committee (topics → viewpoints → disagreements → consensus → variables to be tracked); ④ A risk list sorted by severity (high/medium/low); ⑤ A one-page summary by the investment manager, condensing the core logic, key variables, validation points, and confidence levels. Option B: Delivery of a candidate stock list (code | name | hit criteria | key data | source | trigger date) + explanation of screening criteria and definitions, with the option to optionally include the complete five-piece set for top candidates. All deliverables are saved as files, with filenames including the target and date for easy reuse and archiving.

Multi-Agent Investment Research Team: A-Share Stock Selection and Investment Committee Analysis

Find your next favorite skill

Explore more curated AI skills for research, creation, and everyday work.

Explore all skills