Deconstruct viral YouTube scripts
Featured by
nene@YouMind.AI
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.
**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
description
Analyzes top YouTube hits, deconstructs their style, and crafts a native script with built-in engagement, ensuring your content resonates from the start.
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Deconstruct viral YouTube scripts
Featured by
nene@YouMind.AI
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.
**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
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 allDaily Check-in Coach (Morning & Evening Versions)
Based on "The Five Management Principles of Highly Effective People," this daily twice-daily check-in system involves setting plans and assessing performance in the morning, and then reviewing and comparing execution in the evening. Through comparative analysis of predictions and actual results, it helps users better understand their performance fluctuations and execution capabilities, continuously optimizing time management and goal achievement. Suitable for users who need to improve self-discipline and execution.
Academic Paper Writing System v3.0 (Wuyuan×AFP)
This academic paper writing system, integrating the Five-Source Model and AFP framework, provides a one-stop solution for the entire academic writing process, from initial observation to completion. ✅ Seven core modules: Topic Selection & Introduction → Literature Review → Research Methods → Discussion → Conclusion → Abstract & Keywords (new in v3.1) → Full Text Integration. Each stage is constrained by the Five-Source Model (structure + materials + style + integration + calibration). ✅ Stage-based diagnosis: The system automatically identifies your current writing stage (starting from scratch/already having a topic/already having a review, etc.) and jumps directly to the corresponding module, eliminating the need to start from the beginning. ✅ Anti-illusion firewall: It mandates the submission of real literature/data, with the B-core having veto power to reject any "illusionary content" without supporting materials, ensuring academic rigor. ✅ Interdisciplinary adaptation: It automatically identifies quantitative, qualitative, and speculative research paradigms and switches to corresponding writing strategies (e.g., quantitative analysis emphasizes "variable conflicts," while qualitative analysis emphasizes "failure of contextual explanatory power"), adapting to all disciplines from humanities and social sciences to STEM fields. After opening, simply tell the system "Which stage am I at?" + "My subject area" to start. The system will guide you through the process of submitting materials (literature/data/research ideas). Each completed module automatically generates usable chapter content, and finally, all are integrated into a complete paper with a single click. User feedback: 40% increase in C-level journal/SCI submission acceptance rate. v3.1 Major upgrade: Added Phase 6 abstract and keyword generation module, achieving a true closed-loop process from "topic selection → manuscript completion → abstract".
Thesis Topic Selection and Introduction Writing System v3.0 (Five-Source Model × AFP)
From vague ideas to complete topic selection, and then to high-quality introductions, the entire process is designed to prevent illusions. ✅ Stage-based diagnostic positioning—Whether you are in the stage of vague observation, research unit refinement, theoretical matching, or introduction writing, the system automatically identifies and starts from the corresponding stage, without having to start from scratch. ✅ Four-core collaborative quality control—A core generates content, B core reviews and rejects (with veto power!), C core evaluates innovativeness, and D core monitors the entire process, ensuring that every output conforms to academic norms. ✅ Anti-illusion firewall—Forced feeding of real literature to generate introductions, rejecting AI-fabricated citations, and all references must be traceable. ✅ Automatic switching of interdisciplinary methodologies—After recognizing your professional background, the system automatically calls the corresponding methodology (humanities and social sciences: Q-method, fantasy topic analysis; science, engineering, agriculture, and medicine: machine learning, multi-omics analysis), without requiring you to understand the details of the methodology. After opening the system and answering 3 questions (professional background/current stage/target journal), the system automatically determines which step to start from. Prepare the prefaces (including references) of 3-5 papers on the same topic as reference materials, and the system will generate a draft introduction that conforms to journal specifications based on real literature. The entire process involves collaboration among four core experts, with a second-tier expert reviewing at key stages. Submissions that fail to meet standards are immediately rejected and require revision. The program covers all disciplines in the humanities, social sciences, science, engineering, agriculture, and medicine, and is compatible with submissions to journals at all levels, including CSSCI, SCI, and Peking University core journals.
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