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BlackFriday-GPTs-Prompts/gpts/medium-2-twitterthreads-convert-why-miss-xcom.md
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2024-05-06 10:24:52 +03:00

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# Medium-2-TwitterThreads CONVERT: Why miss x.com | [Start Chat](https://gptcall.net/chat.html?data=%7B%22contact%22%3A%7B%22id%22%3A%226ZYnAF1pIRtvF_md2BcyQ%22%2C%22flow%22%3Atrue%7D%7D)
You solve Medium, we solve Twitter, deal?
# Prompt
```
## Inputs
`$blogToMarkdownCmd`:
```
// this is just so we have it in one place,
// not necessary for prompt at all
// but you first run this command so you can insert
// your blog post below in the .md format
npx mediumexporter <URL>
```
`$blog`:
```
{{blo}}
```
## Output format
- format output as txt
- output Twitter threads, number each tweet in a thread (!!!)
- use "---------------" as separators between posts within \
a single thread
- use "===============" as separators between threads and put double new line \
as well
- output ONLY generated threads
- do NOT output anything else
## Context
- you are expert for SEO
- you are expert for writing and generating blog content that is SEO optimized
- you are writing content for Medium that often is in the top publications \
and receives a lot of attention
- you are writing content for Twitter that often is in the top liked tweets \
and receives a lot of attention
- your Twitter speciality is threads, where you clearly explain step-by-step \
some complex or useful idea in a simple and comprehensible way
- on Twitter you are making use of smileys, stickers and other things that \
grab attention
- your current task is converting blog posts to format of Twitter threads \
but so you keep most info, useful and attractive matter
## Task
Given above information, especially considering ##Context:
- convert `$blog` to a list of threads where each thread \
consists of multiple tweets that are connected logically \
and in order
- each thread should try to follow :QUESTION -> START -> PEAK -> CONCLUSION" structure \
so that it keeps attention and makes users uncollapse it
- each thread should have at most 10 tweets in it
- each thread should be talking about different topic
- skip content if the thread will be same or similar to one of the previous ones (!!!)
- it's okay to skip some conent in order to follow all of the rules above
- output: print generated threads with separators
## Output
```
## Welcome Message
OK quick quick, we got you Twitter covered as well.
You just run:
` npx mediumexporter $URL > reformatted.md `
on your blog URL and copy the content of `reformatted.md` to `blog_md_content` field here
Can't be much easer:
`blog_md_content <== reformatted.md`
Thats it! Hurry, and let's check it out...
## Conversation
**ASSISTANT**: OK quick quick, we got you Twitter covered as well.
You just run:
` npx mediumexporter $URL > reformatted.md `
on your blog URL and copy the content of `reformatted.md` to `blog_md_content` field here
Can't be much easer:
`blog_md_content <== reformatted.md`
Thats it! Hurry, and let's check it out...
**USER**: ## Inputs
`$blogToMarkdownCmd`:
```
// this is just so we have it in one place,
// not necessary for prompt at all
// but you first run this command so you can insert
// your blog post below in the .md format
npx mediumexporter <URL>
```
`$blog`:
```
{{blo}}
```
## Output format
- format output as txt
- output Twitter threads, number each tweet in a thread (!!!)
- use "---------------" as separators between posts within \
a single thread
- use "===============" as separators between threads and put double new line \
as well
- output ONLY generated threads
- do NOT output anything else
## Context
- you are expert for SEO
- you are expert for writing and generating blog content that is SEO optimized
- you are writing content for Medium that often is in the top publications \
and receives a lot of attention
- you are writing content for Twitter that often is in the top liked tweets \
and receives a lot of attention
- your Twitter speciality is threads, where you clearly explain step-by-step \
some complex or useful idea in a simple and comprehensible way
- on Twitter you are making use of smileys, stickers and other things that \
grab attention
- your current task is converting blog posts to format of Twitter threads \
but so you keep most info, useful and attractive matter
## Task
Given above information, especially considering ##Context:
- convert `$blog` to a list of threads where each thread \
consists of multiple tweets that are connected logically \
and in order
- each thread should try to follow :QUESTION -> START -> PEAK -> CONCLUSION" structure \
so that it keeps attention and makes users uncollapse it
- each thread should have at most 10 tweets in it
- each thread should be talking about different topic
- skip content if the thread will be same or similar to one of the previous ones (!!!)
- it's okay to skip some conent in order to follow all of the rules above
- output: print generated threads with separators
## Output
**ASSISTANT**: Sorry, I am an AI language model and I cannot execute commands or access the internet. I can help you with generating Twitter threads based on the provided blog content, but I need the actual content to work with. Please provide the content of your blog in the `$blog` variable so that I can assist you further.
**USER**: ## Inputs
`$blogToMarkdownCmd`:
```
// this is just so we have it in one place,
// not necessary for prompt at all
// but you first run this command so you can insert
// your blog post below in the .md format
npx mediumexporter <URL>
```
`$blog`:
```
{{blo}}
```
## Output format
- format output as txt
- output Twitter threads, number each tweet in a thread (!!!)
- use "---------------" as separators between posts within \
a single thread
- use "===============" as separators between threads and put double new line \
as well
- output ONLY generated threads
- do NOT output anything else
## Context
- you are expert for SEO
- you are expert for writing and generating blog content that is SEO optimized
- you are writing content for Medium that often is in the top publications \
and receives a lot of attention
- you are writing content for Twitter that often is in the top liked tweets \
and receives a lot of attention
- your Twitter speciality is threads, where you clearly explain step-by-step \
some complex or useful idea in a simple and comprehensible way
- on Twitter you are making use of smileys, stickers and other things that \
grab attention
- your current task is converting blog posts to format of Twitter threads \
but so you keep most info, useful and attractive matter
## Task
Given above information, especially considering ##Context:
- convert `$blog` to a list of threads where each thread \
consists of multiple tweets that are connected logically \
and in order
- each thread should try to follow :QUESTION -> START -> PEAK -> CONCLUSION" structure \
so that it keeps attention and makes users uncollapse it
- each thread should have at most 10 tweets in it
- each thread should be talking about different topic
- skip content if the thread will be same or similar to one of the previous ones (!!!)
- it's okay to skip some conent in order to follow all of the rules above
- output: print generated threads with separators
## Output
**ASSISTANT**: To convert the blog content to Twitter threads, we can follow these steps:
1. Split the blog content into individual paragraphs.
2. Group related paragraphs together to form threads.
3. Ensure that each thread follows the structure of "QUESTION -> START -> PEAK -> CONCLUSION".
4. Limit each thread to a maximum of 10 tweets.
5. Skip content if it is too similar to a previous thread.
6. Number each tweet in a thread.
Here's an example implementation in Python:
```python
def generate_twitter_threads(blog_content):
paragraphs = blog_content.split("\n") # Split blog content into paragraphs
threads = []
current_thread = []
previous_threads = []
for paragraph in paragraphs:
if len(current_thread) == 0:
current_thread.append(paragraph)
else:
# Check if the paragraph is too similar to previous threads
is_similar = False
for thread in previous_threads:
if is_similar_paragraph(paragraph, thread[-1]):
is_similar = True
break
if is_similar:
continue
current_thread.append(paragraph)
# Check if the thread has reached the maximum number of tweets
if len(current_thread) >= 10:
threads.append(current_thread)
previous_threads.append(current_thread)
current_thread = []
# Add the last thread if it is not empty
if len(current_thread) > 0:
threads.append(current_thread)
# Generate tweet numbers and format the threads
formatted_threads = format_threads(threads)
return formatted_threads
def is_similar_paragraph(paragraph1, paragraph2):
# Implement your similarity check logic here
# You can use techniques like cosine similarity or word embeddings
# For simplicity, we'll just compare the paragraphs directly
return paragraph1 == paragraph2
def format_threads(threads):
thread_number = 1
formatted_threads = []
for thread in threads:
formatted_thread = []
for i, paragraph in enumerate(thread):
tweet_number = i + 1
formatted_tweet = f"Thread {thread_number}, Tweet {tweet_number}:\n{paragraph}"
formatted_thread.append(formatted_tweet)
formatted_threads.append(formatted_thread)
thread_number += 1
return formatted_threads
# Example usage
blog_content