Video to Annotated "how to" article

I want to record a video on a "how to" topic and turn it into an article, with text and images. For example, I will record a video about "how to make software mockups with GIMP" and then want it turned into a video. I want this to be a very media-rich article with lots and lots of screenshots, so the idea is that in the video I will explain what I am doing (eg "the first thing we do is open GIMP and click on new image and choose an image size of 1000x1000"), and then we will want to extract the transcription from the video. Then we review this transcription/timestamps and decide on the core steps of the how to task (eg step 1 - download GIMP.. step 2 - create a new image), and then we look at the timestamps mentioned and extract images at those specific timestamps (so if I say "let me open the image now" at 23.39 then we would extract an image frame from the video at that point). Then we will use my transcription file to set specific timings. My software works best when it has a fixed number of actions to take, so I suggest we (fairly abitrarily) go with six steps. This means we will want six images embedded, and six steps written in the article. It will mean that an LLM will need to review the transcription and decide which are the six steps (if the video narrator does not explicitly list six steps, or even does more or fewer).

Sub Agent #1 | Sub Agent #2 | Sub Agent #3

final-output-comps..1

Thank you for the detailed explanation of your project. Let me address your questions one by one:

a) Final output:
The final output of this process would be a written article in a text format (such as a Word document, Google Doc, or HTML file) that includes the following elements:
- A title for the "how-to" article
- An introduction paragraph
- Six steps outlining the process of the tutorial, with each step having:
  - A brief description of the step
  - A relevant screenshot or image illustrating the step
- A conclusion paragraph

b) Components/outputs needed:
To generate the final output, the following components would be required:

1. Video file (mp4 or other format):
   - A recorded video of you explaining the "how-to" process
   - The video should be of sufficient quality and clearly demonstrate the steps involved

2. Audio transcription (txt or srt file):
   - A transcription of the audio from the video, including timestamps
   - This can be generated using an AI-based speech-to-text service or manually transcribed

3. Extracted images (png or jpg files):
   - Six relevant screenshots or images extracted from the video at specific timestamps
   - These images should correspond to the key steps in the tutorial
   - The timestamps for these images can be determined based on the transcription

4. Processed transcription (txt or JSON file):
   - The AI agent will process the transcription to identify the six main steps of the tutorial
   - If the video does not explicitly mention six steps, the AI will need to determine the most appropriate steps based on the content
   - The processed transcription will be used to generate the text for each step in the article

5. Article outline (txt or JSON file):
   - A structured outline of the article, including the title, introduction, six steps (with text and image placeholders), and conclusion
   - This outline will serve as a template for the final article

6. Final article (Word document, Google Doc, or HTML file):
   - The completed article, which combines the processed text from the transcription, the extracted images, and the article outline
   - The article should be well-formatted, easy to read, and include the six steps with their corresponding images and descriptions

By breaking down the project into these specific components, the AI agent can work on each part individually and then assemble them to create the final output: a comprehensive, media-rich "how-to" article based on your video tutorial.

final-output-comps..2

You're right, defining the final output precisely will be crucial for the success of this workflow. Let's break it down:

**a) Final Output:**

The final output of this process will be a **digital article**, potentially in one of these formats:

* **Markdown (.md):** This text-based format allows easy integration of images and formatting, making it suitable for platforms like blogs and documentation websites.
* **HTML (.html):** This format offers greater control over the article's layout and appearance, ideal for web publishing.
* **Word Document (.docx):**  If the intended use involves traditional word processing or sharing in a less technical environment.

**b) Core Components/Outputs:**

To generate this final article, these key components are essential:

1. **Transcribed Text (.txt or similar):** A plain text file containing the full transcription of the how-to video.

2. **Timestamped Steps (JSON or CSV):** 
   * This file would contain six entries, each representing a step in the how-to process. 
   * **Format example (JSON):**
     ```json
     [
       {"step": 1, "description": "Download GIMP from the official website", "timestamp": "00:15.23"},
       {"step": 2, "description": "Open GIMP and create a new image", "timestamp": "00:32.51"},
       // ... steps 3 to 6
     ]
     ```

3. **Extracted Screenshots (Image files - .png, .jpg):**  
    * Six image files, one for each step, extracted from the video at the precise timestamps defined in the "Timestamped Steps" file.

4. **Article Template (Markdown, HTML, or docx template):**
   * This template file defines the basic structure and styling of the final article. It will have placeholders for dynamically inserting the transcribed text, extracted images, and step-by-step instructions based on the data from the other components.

**Note:** To leverage these components effectively, the AI agent's workflow should include the following:

* **Transcription API (e.g., Google Cloud Speech-to-Text):** For accurate video transcription.
* **Timestamp Extraction Logic:**  To intelligently identify the six key steps and their corresponding timestamps from the transcribed text.
* **Screenshot API or Library (e.g., FFmpeg):**  For precise image extraction from the video at designated timestamps.
* **Content Assembly:** A mechanism to dynamically populate the article template with the extracted content (transcribed text, images, and formatted steps).

final-output-comps GPT..3

a) The final output of this would be a comprehensive, media-rich article in a document format. The article, composed of textual content and images, will cover the topic "How to make software mockups with GIMP" and demonstrate the step-by-step instructions through six core steps.

b) The task can be broken down into the following components:

1. Video Content: The original "how to" video on creating software mockups with GIMP serves as the starting point. This could be in any common video format, such as mp4 or mov.

2. Transcription: The transcribed text of the video content which details all the narrative of the 'how-to' process. This text could be in a format like a .txt or .docx file.

3. Time Stamps: It's essentially the printed time on each frame of the video that will help determine at what specific point an action is being performed. It will be used to extract those frames as images to be embedded in the final article.

4. Extracted Images: These will be the screen captures or snapshots taken from the video at the time points corresponding to each core step. They will need to be in a commonly-used image format, such as jpg or png.

5. AI Interpretation: An AI agent is needed to review the transcription/timestamps and decide on the six core steps that will form the structure of the article. This might look like an outlined document detailing each of the six steps with corresponding time stamps.

6. Final Article: This will comprise the combined elements above in a structured, engaging manner. It will be in a document format - txt, doc, or pdf, that includes text content narrating the process step-by-step (derived from the transcribed text and AI interpretation), interleaved with the appropriate extracted images illustrating each of these steps.

CLAUDE:- final-output-and-component-outputs

a) Final Output:
The final output of this automated workflow would be a comprehensive, media-rich "how-to" article in a web-friendly format, such as HTML, Markdown, or a CMS-specific format. The article will include the following elements:

- A title reflecting the topic of the "how-to" guide
- An introduction paragraph providing an overview of the task
- Six clearly defined steps outlining the process of creating software mockups using GIMP
  - Each step will have a concise description of the action or milestone
  - Each step will be accompanied by a relevant screenshot or image illustrating the action
- A conclusion paragraph summarizing the process and encouraging readers to try it themselves
- Proper formatting and layout to ensure readability, visual appeal, and an optimal user experience

b) Core Components/Outputs:
To generate the final article, the following components and intermediate outputs are required:

1. Video File (mp4, mov, or other common format):
   - A high-quality screen recording of the process of creating software mockups using GIMP
   - The video should clearly demonstrate each step involved in the process

2. Video Transcription (txt, srt, or json):
   - A complete transcription of the video's audio content, including timestamps for each spoken sentence or phrase
   - The transcription can be generated using an AI-based speech-to-text service or manually transcribed

3. Timestamped Steps (json or csv):
   - A list of six key steps identified from the video transcription, each with a corresponding timestamp
   - The AI agent will analyze the transcription to determine the most important actions or milestones in the process
   - If the video does not explicitly mention six steps, the AI will use its understanding of the process to define the most appropriate steps

4. Extracted Screenshots (png or jpg):
   - Six high-quality screenshots or images extracted from the video at the timestamps corresponding to each of the identified steps
   - These images will serve to illustrate the actions described in each step of the final article

5. Generated Article Text (txt or json):
   - The text content of the article, divided into six sections corresponding to the identified steps
   - The text will be generated using the video transcription as a basis, but refined, structured, and adapted to fit the six-step format
   - The generated text should be engaging, informative, and easy to follow

6. Formatted Article (HTML, Markdown, or CMS-specific format):
   - The final article, combining the generated text, extracted screenshots, and proper formatting
   - The article should be structured with a title, introduction, six steps (each with a description and image), and a conclusion
   - The layout should be visually appealing, optimized for readability, and provide an excellent user experience

By breaking down the workflow into these specific components and leveraging the power of AI, it is possible to create a high-quality, media-rich "how-to" article based on a single video input. The AI agent will handle tasks such as transcription, step identification, image extraction, text generation, and formatting, streamlining the process of turning a video tutorial into a comprehensive, engaging article.

claude 3 - extract final output

extract component outputs

To generate the final article, the following components and intermediate outputs are required:

Claude - research-ideas-and-input-variables

Thank you for the detailed explanation of the task. Let me address your questions one by one:

a) To clarify the final output, I would ask the following questions:
   1. What is the desired length of the article in terms of word count?
   2. Should the article include a step-by-step guide with six steps, or should it be a more general article discussing the process?
   3. Should the article include the embedded video, or will it be a standalone article with images and text only?
   4. What is the target audience for this article? Beginners, intermediate users, or advanced users?
   5. Are there any specific formatting requirements for the article (e.g., specific headings, sections, or style guidelines)?

b) The inputs required before launching the task completion process would be:
   1. The recorded video file of the "how to" topic.
   2. The topic or title of the video (e.g., "How to make software mockups with GIMP").
   3. The desired length of the article in terms of word count.
   4. Any specific formatting requirements or style guidelines for the article.

c) I have a suggestion for segmenting the tasks:
   1. Video transcription: This task involves extracting the audio from the video and transcribing it into text. This could be done using an automated transcription service or manually.
   2. Step identification: Review the transcription and identify the six core steps of the process. This task requires analyzing the content and determining the most important steps to include in the article.
   3. Image extraction: Based on the identified steps and the timestamps mentioned in the transcription, extract relevant image frames from the video. This task involves precise timing and selection of appropriate visuals.
   4. Article writing: Using the transcription, identified steps, and extracted images, write the article in a clear and concise manner. This task involves organizing the content, providing explanations, and ensuring a logical flow.
   5. Article formatting: Apply any specific formatting requirements or style guidelines to the article. This task ensures consistency and adherence to the desired format.

By segmenting the tasks in this way, each component can be handled separately, allowing for better organization, quality control, and the possibility of involving specialized tools or human experts in specific areas if needed.

GPT - research-ideas-and-input-variables

a) Clarifying Questions:

1. How lengthy do you want the final article to be? Should it be a short piece of, say, 500 words or a long and detailed essay-style write-up of, say, 3,000 words?
2. Is there a preferred format for the article? For example, should it follow a certain structure like introduction, tutorial sections, conclusion, etc.?
3. Would you like specific terminology to be used or avoided in the script?
4. Would you want the screenshots to be edited in any way or can they be used as they are taken from the video?
5. Is there an aesthetic or style guide that the final article should follow (e.g., font type, size, image placement)?
6. Are there any other media types (such as graphs, gif, video snippets, external links, etc.) you would like to include in the article?

b) Necessary Inputs:

1. The video from which transcription and screenshots will be taken.
2. Any preferences around specific times in the video where you'd like screenshots to be taken (unless this is going to be decided by the AI agent).
3. Any specific six steps you have in mind (if already decided).
4. Information about the target audience for this article (this could influence the language and the tone used in the written article).
5. Details about any additional resources that are to be incorporated in the article.

template-ideas

Based on the description of the final output and the capabilities of the AI Agent, here are some templates and resources that could be collected to help refine the definition of a successful output for the "how-to" article:

1. Successful "how-to" articles from popular websites:
   - Visit websites like wikiHow, Lifehacker, or specific tech blogs that feature software tutorials
   - Analyze the structure, formatting, and content of high-ranking articles
   - Pay attention to the use of images, step-by-step instructions, and the overall flow of the article

2. Screenshots from top-rated GIMP tutorials on YouTube:
   - Search for popular GIMP tutorials on YouTube and view their transcriptions
   - Identify key moments in the video where the instructor performs an action or reaches a milestone
   - Collect screenshots from these moments to understand how they visually illustrate the steps

3. HTML or Markdown templates for well-structured articles:
   - Search for HTML or Markdown templates specifically designed for tutorials or "how-to" articles
   - Analyze the code structure and how the content is organized within the template
   - Look for templates that incorporate images, step-by-step lists, and clear headings

4. Top-ranking "how-to" articles for similar software:
   - Perform a Google search for "how to create software mockups" or similar queries
   - Analyze the top-ranking articles to understand their structure, content, and use of media
   - Identify common elements that make these articles successful and engaging for readers

5. GIMP documentation and official tutorials:
   - Visit the official GIMP website and explore their documentation and tutorials
   - Analyze how they structure their content and present step-by-step instructions
   - Look for examples of how they use images to support the text and enhance understanding

By collecting and analyzing these templates and resources, the AI Agent can gain a clearer understanding of what constitutes a successful "how-to" article for creating software mockups using GIMP. The Agent can then use these insights to guide the process of creating the article, ensuring that the final output meets the desired criteria and provides value to the target audience.

claude 3 - searches

Here are 5 specific keyphrases to search for refining the definition of a successful "how-to" article on creating software mockups using GIMP:

1. "how to create a website mockup in gimp step by step wikihow"
   - This search should return a wikiHow article that provides a detailed, step-by-step guide on creating website mockups using GIMP, which can serve as a useful template for structure and content.

2. "gimp ui design tutorial youtube screenshot"
   - This search should yield results from popular YouTube tutorials on UI design using GIMP. By reviewing screenshots from these videos, we can identify key moments and visuals that effectively illustrate the process.

3. "html template for software tutorial article with images"
   - This search should provide HTML templates specifically designed for software tutorial articles that include images. Analyzing these templates will help understand the optimal code structure and content organization for the final output.

4. "how to create a mobile app mockup in gimp lifehacker"
   - This search should return a Lifehacker article on creating mobile app mockups using GIMP. Studying this top-ranking article will provide insights into successful content structure, use of media, and reader engagement.

5. "gimp official documentation user interface design tutorial"
   - This search should lead to the official GIMP documentation and tutorials related to user interface design. Reviewing these resources will help understand how the software's creators present step-by-step instructions and use images to support the text.

By searching for these specific keyphrases and reviewing the top results, we can gather valuable insights and templates to refine our definition of a successful "how-to" article on creating software mockups using GIMP.

How to Create a Website Mockup in GIMP Step by Step - wikiHow

GIMP UI Design Tutorial YouTube Screenshot

HTML Template for Software Tutorial Article with Images

How to Create a Mobile App Mockup in GIMP - Lifehacker

GIMP Official Documentation User Interface Design Tutorial

subagent-summary

A) FULL TASK SUMMARY: Create a comprehensive, media-rich "how-to" article from a video tutorial on creating software mockups using GIMP.

B) FINAL TASK OUTPUT: A well-formatted, engaging, and informative article in HTML format, including a title, introduction, six clearly defined steps (each with a description and a relevant screenshot), and a conclusion. The article should be optimized for readability and provide an excellent user experience.

C) COMPONENTS OVERVIEW:
1. Video File: High-quality screen recording of the GIMP mockup creation process
2. Video Transcription: Complete transcription of the video's audio content with timestamps
3. Timestamped Steps: List of six key steps identified from the video transcription
4. Extracted Screenshots: Six high-quality screenshots corresponding to each identified step
5. Generated Article Text: Engaging and informative text content for the article, divided into six sections
6. Formatted Article: Final article combining generated text, screenshots, and proper formatting in HTML

D) OVERVIEW OF SUBAGENTS:
- Video Processor: Handles video file input, transcription, and screenshot extraction
- Step Identifier: Analyzes the video transcription to identify six key steps and their timestamps
- Article Generator: Generates the article text based on the transcription and identified steps
- Article Formatter: Combines the generated text, screenshots, and proper formatting to create the final HTML article

E) SUBAGENT 1: Video Processor
- Name: Video Processor
- Final Output: Video transcription (JSON) and extracted screenshots (PNG)
- Tasks:
  1. Accept video file input (mp4, mov, or other common format)
  2. Use a speech-to-text API (e.g., Google Cloud Speech-to-Text) to generate a transcription with timestamps
  3. Analyze the transcription to identify timestamps for the six key steps
  4. Use a video processing library (e.g., OpenCV) to extract screenshots at the identified timestamps
  5. Save the transcription as a JSON file and the screenshots as PNG files
- Sequence: Video Input > Transcription > Timestamp Analysis > Screenshot Extraction > Transcription and Screenshot Output

F) SUBAGENT 2: Step Identifier
- Name: Step Identifier
- Final Output: List of six timestamped steps (JSON)
- Tasks:
  1. Load the video transcription JSON file
  2. Use an AI model (e.g., GPT-3) to analyze the transcription and identify six key steps
  3. If the video does not explicitly mention six steps, use the AI's understanding of the process to define the most appropriate steps
  4. Associate each step with its corresponding timestamp from the transcription
  5. Save the list of timestamped steps as a JSON file
- Sequence: Transcription Input > AI Analysis > Step Identification > Timestamping > Timestamped Steps Output

G) SUBAGENT 3: Article Generator
- Name: Article Generator
- Final Output: Generated article text (JSON)
- Tasks:
  1. Load the video transcription and timestamped steps JSON files
  2. Use an AI model (e.g., GPT-3) to generate engaging and informative text content for each of the six steps
  3. Refine and structure the generated text to fit the six-step format
  4. Generate an introduction and conclusion paragraph for the article
  5. Save the generated article text as a JSON file
- Sequence: Transcription and Steps Input > AI Text Generation > Text Refinement and Structuring > Intro and Conclusion Generation > Article Text Output

H) SUBAGENT 4: Article Formatter
- Name: Article Formatter
- Final Output: Formatted article (HTML)
- Tasks:
  1. Load the generated article text and extracted screenshots
  2. Create an HTML template with appropriate sections for the title, introduction, steps (description and image), and conclusion
  3. Insert the generated text into the corresponding sections of the HTML template
  4. Optimize the layout and styling for readability and visual appeal
  5. Embed the extracted screenshots within the appropriate step sections
  6. Save the final formatted article as an HTML file
- Sequence: Article Text and Screenshots Input > HTML Template Creation > Text Insertion > Layout and Style Optimization > Screenshot Embedding > Formatted Article Output

subagent-summary-amended-for-actual-tasks..1

Certainly! Here's an updated list of subagents that will work together to transform the video input into the required article output, using the available skills:

A) FULL TASK SUMMARY: Create a comprehensive, media-rich "how-to" article from a video tutorial on creating software mockups using GIMP.

E) SUBAGENT 1: Video Processor
- Name: Video Processor
- Final Output: Video transcription (JSON) and extracted screenshots (PNG)
- Tasks:
  1. Accept video file input (mp4, mov, or other common format)
  2. Use Skill #188 - Get Transcription Of MP3 (With Timings) to generate a transcription with timestamps
  3. Use Skill #210 - Get Detailed Analysis Of MP4 Video to analyze the video and identify key moments for screenshots
  4. Use Skill #202 - Extract Thumbnail Images Of MP4 Video to extract screenshots at the identified timestamps
- Sequence: Video Input > Skill #188 > Skill #210 > Skill #202 > Transcription and Screenshot Output

F) SUBAGENT 2: Step Identifier
- Name: Step Identifier
- Final Output: List of six timestamped steps (JSON)
- Tasks:
  1. Load the video transcription JSON file
  2. Use Skill #178 - Rewrite Text Based On Instructions to analyze the transcription and identify six key steps
  3. If the video does not explicitly mention six steps, use the AI's understanding of the process to define the most appropriate steps
  4. Associate each step with its corresponding timestamp from the transcription
  5. Save the list of timestamped steps as a JSON file using Skill #168 - Save text/html to server
- Sequence: Transcription Input > Skill #178 > Step Identification > Timestamping > Skill #168 > Timestamped Steps Output

G) SUBAGENT 3: Article Generator
- Name: Article Generator
- Final Output: Generated article text (JSON)
- Tasks:
  1. Load the video transcription and timestamped steps JSON files
  2. Use Skill #177 - Write Text (Or Copy) From Researched Text to generate engaging and informative text content for each of the six steps
  3. Use Skill #178 - Rewrite Text Based On Instructions to refine and structure the generated text to fit the six-step format
  4. Use Skill #177 - Write Text (Or Copy) From Researched Text to generate an introduction and conclusion paragraph for the article
  5. Save the generated article text as a JSON file using Skill #168 - Save text/html to server
- Sequence: Transcription and Steps Input > Skill #177 > Skill #178 > Skill #177 > Skill #168 > Article Text Output

H) SUBAGENT 4: Article Formatter
- Name: Article Formatter
- Final Output: Formatted article (HTML)
- Tasks:
  1. Load the generated article text and extracted screenshots
  2. Use Skill #179 - Rewrite HTML Based On Instructions to create an HTML template with appropriate sections for the title, introduction, steps (description and image), and conclusion
  3. Use Skill #179 - Rewrite HTML Based On Instructions to insert the generated text into the corresponding sections of the HTML template
  4. Use Skill #179 - Rewrite HTML Based On Instructions to optimize the layout and styling for readability and visual appeal
  5. Embed the extracted screenshots within the appropriate step sections using Skill #179 - Rewrite HTML Based On Instructions
  6. Save the final formatted article as an HTML file using Skill #168 - Save text/html to server
- Sequence: Article Text and Screenshots Input > Skill #179 > Text Insertion > Layout and Style Optimization > Screenshot Embedding > Skill #168 > Formatted Article Output

This updated list of subagents utilizes the available skills to complete the task of transforming a video tutorial into a comprehensive, media-rich "how-to" article. The subagents work together to process the video, extract key information, generate engaging content, and format the final article in an optimized and visually appealing way.

subagent-summary-amended-for-actual-tasks..2

A) FULL TASK SUMMARY: Create a comprehensive, media-rich "how-to" article from a video tutorial on creating software mockups using GIMP.

E) SUBAGENT 1: Video Processor
- Name: Video Processor
- Final Output: Video transcription (JSON) and extracted screenshots (PNG)
- Tasks:
  1. Accept video file input (mp4, mov, or other common format) - REQUIRED: API to accept video file input
  2. Use #188 - Get Transcription Of MP3 (With Timings) to generate a transcription with timestamps
  3. Analyze the transcription to identify timestamps for the six key steps - REQUIRED: API to identify key steps and timestamps
  4. Use #202 - Extract Thumbnail Images Of MP4 Video to extract screenshots at the identified timestamps
  5. Save the transcription as a JSON file and the screenshots as PNG files using #168 - Save text/html to server
- Sequence: Video Input > #241 - Convert mp4 to mp3 > #188 - Get Transcription Of MP3 (With Timings) > Timestamp Analysis > #202 - Extract Thumbnail Images Of MP4 Video > #168 - Save text/html to server

F) SUBAGENT 2: Step Identifier
- Name: Step Identifier
- Final Output: List of six timestamped steps (JSON)
- Tasks:
  1. Load the video transcription JSON file using #236 - Extract content of a file (pull in html or text from a file)
  2. Use #178 - Rewrite Text Based On Instructions to analyze the transcription and identify six key steps
  3. If the video does not explicitly mention six steps, use #178 - Rewrite Text Based On Instructions to define the most appropriate steps
  4. Associate each step with its corresponding timestamp from the transcription
  5. Save the list of timestamped steps as a JSON file using #168 - Save text/html to server
- Sequence: #236 - Extract content of a file (pull in html or text from a file) > #178 - Rewrite Text Based On Instructions > #178 - Rewrite Text Based On Instructions > Timestamping > #168 - Save text/html to server

G) SUBAGENT 3: Article Generator
- Name: Article Generator
- Final Output: Generated article text (JSON)
- Tasks:
  1. Load the video transcription and timestamped steps JSON files using #236 - Extract content of a file (pull in html or text from a file)
  2. Use #178 - Rewrite Text Based On Instructions to generate engaging and informative text content for each of the six steps
  3. Refine and structure the generated text to fit the six-step format using #178 - Rewrite Text Based On Instructions
  4. Generate an introduction and conclusion paragraph for the article using #178 - Rewrite Text Based On Instructions
  5. Save the generated article text as a JSON file using #168 - Save text/html to server
- Sequence: #236 - Extract content of a file (pull in html or text from a file) > #178 - Rewrite Text Based On Instructions > #178 - Rewrite Text Based On Instructions > #178 - Rewrite Text Based On Instructions > #168 - Save text/html to server

H) SUBAGENT 4: Article Formatter
- Name: Article Formatter
- Final Output: Formatted article (HTML)
- Tasks:
  1. Load the generated article text and extracted screenshots using #236 - Extract content of a file (pull in html or text from a file)
  2. Use #179 - Rewrite HTML Based On Instructions to create an HTML template with appropriate sections for the title, introduction, steps (description and image), and conclusion
  3. Insert the generated text into the corresponding sections of the HTML template using #179 - Rewrite HTML Based On Instructions
  4. Optimize the layout and styling for readability and visual appeal using #179 - Rewrite HTML Based On Instructions
  5. Embed the extracted screenshots within the appropriate step sections using #179 - Rewrite HTML Based On Instructions
  6. Save the final formatted article as an HTML file using #168 - Save text/html to server
- Sequence: #236 - Extract content of a file (pull in html or text from a file) > #179 - Rewrite HTML Based On Instructions > #179 - Rewrite HTML Based On Instructions > #179 - Rewrite HTML Based On Instructions > #179 - Rewrite HTML Based On Instructions > #168 - Save text/html to server

subagent-summary-amended-for-actual-tasks GPT..3

Based on the skills listed, here is the updated and refined set of subagents with specific skill numbers that will complete the task:

**D) REVISED OVERVIEW OF SUBAGENTS:**

_E) SUBAGENT 1: Video Transcription and Screenshot Extraction_
- Name: Video Transcription and Screenshot Extraction
- Final Output: Video transcription with timestamps (JSON), Extracted screenshots (PNG URLs)
- Skills and Tasks:
  1. Use Skill #224 (Extract & Download Section Of YouTube Video URL) if the original video content is from YouTube. Otherwise, for direct MP4 files, proceed to the next step.
  2. Use Skill #188 (Get Transcription Of MP3 (With Timings)) to get a transcription of the video's audio with exact timings after extracting audio with Skill #241 (Convert mp4 to mp3).
  3. Use Skill #202 (Extract Thumbnail Images Of MP4 Video) to extract keyframes from the video which can be used as screenshots.
  4. If specific timestamps for screenshots are required, use a combination of manual review and automation to pinpoint timestamps; this would involve an external process (REQUIRED) to parse transcription, detect key phrases, and identify screenshot moments.
  5. Save transcription and images using Skill #168 (Save text/html to server).

_F) SUBAGENT 2: Step Identification and Content Structuring_
- Name: Step Identification and Content Structuring
- Final Output: List of six timestamped steps (JSON), Article text structure (JSON)
- Skills and Tasks:
  1. Use Skill #177 (Write Text (Or Copy) From Researched Text) and Skill #178 (Rewrite Text Based On Instructions) to process the transcription and identify the definitions of the six steps, organizing content according to the desired structure.
  2. Combine transcript information with the extracted timestamps to map out the article's content.
  3. Save structure as a JSON file using Skill #180 (Rewrite JSON (or other code) Based On Instructions) if any adjustments are needed.
  4. An external process (REQUIRED) may be used to aid in the selection and definition of the steps if they are not clearly dictated in the transcription.

_G) SUBAGENT 3: Generating Article Text from Transcription_
- Name: Generating Article Text from Transcription
- Final Output: Article text with introduction and conclusion (HTML or JSON)
- Skills and Tasks:
  1. Load the JSON file containing step structure.
  2. Use Skill #178 (Rewrite Text Based On Instructions) to refine the text based on the step structure and to write an engaging introduction and conclusion.
  3. Convert the output to HTML using Skill #227 (Format Up To 4000 Characters Of Text Into Pretty HTML) for each section of the article.

_H) SUBAGENT 4: Final Article Assembly_
- Name: Final Article Assembly
- Final Output: Fully formatted article (HTML)
- Skills and Tasks:
  1. Combine the generated HTML text with screenshots using Skill #179 (Rewrite HTML Based On Instructions) to embed images in their corresponding sections.
  2. Optimize the layout and style for readability and visual appeal, ensuring the article meets web standards. If additional styling is necessary, an external CSS styling process (REQUIRED) might be needed.
  3. Finalize the article with Skill #168 (Save text/html to server) and if necessary, Skill #230 (Publish Content To RSS Feed) to distribute the article's URL feed.
  
Note that some steps may require additional code or API calls, as indicated by "REQUIRED" for parts of the task that may not be entirely covered by the current skills. Also, manual review is recommended at various points in the workflow to ensure quality and accuracy, especially when determining the six key steps when the video does not explicitly mention them.

subagent-summary-amended-for-actual-tasks

A) FULL TASK SUMMARY: Create a comprehensive, media-rich "how-to" article from a video tutorial on creating software mockups using GIMP.

E) SUBAGENT 1: Video Processor
- Name: Video Processor
- Final Output: Video transcription (JSON) and extracted screenshots (PNG)
- Tasks:
  1. Accept video file input (mp4, mov, or other common format) - REQUIRED: API to accept video file input
  2. Use #241 - Convert mp4 to mp3 to extract audio from the video file
  3. Use #188 - Get Transcription Of MP3 (With Timings) to generate a transcription with timestamps
  4. Use #210 - Get Detailed Analysis Of MP4 Video to analyze the video and identify key moments for screenshots
  5. Use #202 - Extract Thumbnail Images Of MP4 Video to extract screenshots at the identified timestamps
  6. Save the transcription as a JSON file and the screenshots as PNG files using #168 - Save text/html to server
- Sequence: Video Input > #241 > #188 > #210 > #202 > #168

G) SUBAGENT 3: Article Generator
- Name: Article Generator
- Final Output: Generated article text (JSON)
- Tasks:
  1. Load the video transcription and timestamped steps JSON files using #236 - Extract content of a file (pull in html or text from a file)
  2. Use #177 - Write Text (Or Copy) From Researched Text to generate engaging and informative text content for each of the six steps
  3. Use #178 - Rewrite Text Based On Instructions to refine and structure the generated text to fit the six-step format
  4. Use #177 - Write Text (Or Copy) From Researched Text to generate an introduction and conclusion paragraph for the article
  5. Save the generated article text as a JSON file using #168 - Save text/html to server
- Sequence: #236 > #177 > #178 > #177 > #168

H) SUBAGENT 4: Article Formatter
- Name: Article Formatter
- Final Output: Formatted article (HTML)
- Tasks:
  1. Load the generated article text and extracted screenshots using #236 - Extract content of a file (pull in html or text from a file)
  2. Use #179 - Rewrite HTML Based On Instructions to create an HTML template with appropriate sections for the title, introduction, steps (description and image), and conclusion
  3. Use #179 - Rewrite HTML Based On Instructions to insert the generated text into the corresponding sections of the HTML template
  4. Use #179 - Rewrite HTML Based On Instructions to optimize the layout and styling for readability and visual appeal
  5. Embed the extracted screenshots within the appropriate step sections using #179 - Rewrite HTML Based On Instructions
  6. Save the final formatted article as an HTML file using #168 - Save text/html to server
- Sequence: #236 > #179 > #179 > #179 > #179 > #168

Note: Some steps may require additional code or API calls, as indicated by "REQUIRED" for parts of the task that may not be entirely covered by the current skills. Manual review is recommended at various points in the workflow to ensure quality and accuracy, especially when determining the six key steps if the video does not explicitly mention them.

subagent-summary-amended-for-actual-tasks-nospiral

A) FULL TASK SUMMARY: Create a comprehensive, media-rich "how-to" article from a video tutorial on creating software mockups using GIMP.

E) SUBAGENT 1: Video Processor
- Name: Video Processor
- Final Output: Video transcription (JSON) and extracted screenshots (PNG)
- Tasks:
  1. Accept video file input (mp4, mov, or other common format) - REQUIRED: API to accept video file input
  2. Use #241 - Convert mp4 to mp3 to extract audio from the video file
  3. Use #188 - Get Transcription Of MP3 (With Timings) to generate a transcription with timestamps
  4. Use #202 - Extract Thumbnail Images Of MP4 Video to extract six screenshots at evenly spaced intervals
  5. Save the transcription as a JSON file and the screenshots as PNG files using #168 - Save text/html to server
- Sequence: Video Input > #241 > #188 > #202 > #168

random-autocomplete

To achieve the end goal of creating a comprehensive, media-rich "how-to" article from a video recording, the most relevant tasks might be:

1. Video recording and storage
2. Audio transcription and timestamp extraction
3. Identifying key steps from the transcription
4. Video frame extraction based on timestamps
5. Image processing and optimization
6. Article content generation and formatting
7. Integration with a web-friendly format or CMS

The overall sequence of actions would be:

1. Record the "how-to" video and store it on the Agent's system
2. Process the video to extract the audio and generate a transcription with timestamps
3. Analyze the transcription using NLP techniques to identify the six most important steps in the process
4. Extract relevant video frames as images based on the timestamps associated with the identified steps
5. Process and optimize the extracted images for web use
6. Generate the article content using the transcription, identified steps, and extracted images
   - Create a title, introduction, and conclusion
   - Format the six steps with their respective descriptions and images
7. Integrate the generated content into a web-friendly format or CMS, ensuring proper formatting and layout

To accomplish these tasks, the Agent could leverage various APIs and libraries, such as:

- FFmpeg or OpenCV for video and audio processing
- Google Cloud Speech-to-Text, Amazon Transcribe, or DeepSpeech for audio transcription
- Natural Language Processing libraries like spaCy, NLTK, or Google Cloud Natural Language API for identifying key steps
- Pillow (PIL) or OpenCV for image processing and optimization
- A pre-trained language model like GPT-3 or a custom-trained model for article content generation
- HTML, Markdown, or a CMS-specific library for formatting and integration

By following this sequence and utilizing the appropriate tools, the Agent should be able to automate the process of transforming a "how-to" video into a well-structured, media-rich article.

claude 3 - mermaid-for-all

<!DOCTYPE html>
<html>
<head>
  <title>Mermaid Diagram Example</title>
  <script src="https://cdnjs.cloudflare.com/ajax/libs/mermaid/9.4.3/mermaid.min.js"></script>
</head>
<body>
  <div class="mermaid">
graph TD
    A[Video Input] --> B{Video Processor}
    B -->|Video File| C[#241 - Convert mp4 to mp3]
    C -->|Audio File| D[#188 - Get Transcription Of MP3 With Timings]
    B -->|Video File| E[#210 - Get Detailed Analysis Of MP4 Video]
    E -->|Key Moments| F[#202 - Extract Thumbnail Images Of MP4 Video]
    D -->|Transcription JSON| G[#168 - Save text/html to server]
    F -->|Screenshots PNG| G[#168 - Save text/html to server]
    G -->|Transcription JSON| H{Step Identifier}
    H -->|Transcription JSON| I[#236 - Extract content of a file pull in html or text from a file]
    I -->|Transcription Text| J[#178 - Rewrite Text Based On Instructions]
    J -->|Timestamped Steps| K[#168 - Save text/html to server]
    K -->|Timestamped Steps JSON| L{Article Generator}
    G -->|Transcription JSON| L
    L -->|Transcription and Steps| M[#236 - Extract content of a file pull in html or text from a file]
    M -->|Transcription and Steps Text| N[#177 - Write Text Or Copy From Researched Text]
    N -->|Generated Text| O[#178 - Rewrite Text Based On Instructions]
    O -->|Refined Text| P[#177 - Write Text Or Copy From Researched Text]
    P -->|Complete Article Text| Q[#168 - Save text/html to server]
    Q -->|Article Text JSON| R{Article Formatter}
    G -->|Screenshots PNG| R
    R -->|Article Text and Screenshots| S[#236 - Extract content of a file pull in html or text from a file]
    S -->|Article Text and Screenshots| T[#179 - Rewrite HTML Based On Instructions]
    T -->|HTML Template| U[#179 - Rewrite HTML Based On Instructions]
    U -->|Inserted Text| V[#179 - Rewrite HTML Based On Instructions]
    V -->|Optimized Layout| W[#179 - Rewrite HTML Based On Instructions]
    W -->|Final Article| X[#168 - Save text/html to server]
  </div>

Video to Annotated "how to" article

Sub Agent #1 | Sub Agent #2 | Sub Agent #3

final-output-comps..1

final-output-comps..2

final-output-comps GPT..3

CLAUDE:- final-output-and-component-outputs

claude 3 - extract final output

extract component outputs

Claude - research-ideas-and-input-variables

GPT - research-ideas-and-input-variables

template-ideas

claude 3 - searches

subagent-summary

subagent-summary-amended-for-actual-tasks..1

subagent-summary-amended-for-actual-tasks..2

subagent-summary-amended-for-actual-tasks GPT..3

subagent-summary-amended-for-actual-tasks

subagent-summary-amended-for-actual-tasks-nospiral

random-autocomplete

claude 3 - mermaid-for-all

subagent1mermaid

SubAgent #1

claude 3 - subagent1

subagent1-refined

subagent1mermaid