Section Insights
Building the Skill
How is the skill built?
The skill is built using a simple MD file in VS Code, focusing on gathering job descriptions, extracting terms, and normalizing them for analysis.
- The skill involves gathering job descriptions and extracting relevant terms.
- Normalization and ranking of terms by coverage is crucial.
- The skill can diagnose if a job application is focused or not.
Output of the Skill
What does the output of the skill look like?
The output includes a list of keywords that can be used to rewrite a profile, showing a high coverage of relevant job opportunities.
- The skill provides keywords that enhance job application profiles.
- A coverage percentage indicates the relevance of job opportunities.
- Visual adjustments can help in better understanding the output.
Keyword Analysis
What insights can be gained from the keyword analysis?
The analysis shows keywords by category and their frequency across job descriptions, helping to identify what skills to highlight.
- Keywords are categorized and ranked by their frequency in job descriptions.
- Identifying top keywords helps tailor LinkedIn profiles.
- Specific skills can be highlighted based on job description trends.
Highlighting Skills for LinkedIn
How can the skill help improve a LinkedIn profile?
The skill suggests phrases and skills to highlight on LinkedIn based on job descriptions, ensuring alignment with what employers are looking for.
- The skill provides actionable insights for enhancing LinkedIn profiles.
- It identifies skills that are in demand based on job descriptions.
- Using suggested phrases can improve visibility to recruiters.
Rewriting the LinkedIn Profile
What is the process for rewriting a LinkedIn profile using the skill?
The skill allows users to input their LinkedIn profile and suggests rewrites based on the analyzed keywords from job descriptions.
- Users can directly input their LinkedIn profile for optimization.
- The skill automates the process of rewriting profiles based on keyword analysis.
- This feature enhances the chances of matching job requirements.
Transcript
0:00 What does the skill look like on the inside? Can you show us part of how you built it? >> Absolutely. It's pretty simple. >> That's it. It's just an MD file. >> And what IDE are we looking at, by the way? >> I'm in VS Code. >> VS Code. So the step one is to gather job descriptions, extract terms into categories, then normalize and rank by coverage and make sure that it diagnoses whether it's focused or not. That's the key part. And if it's not, it just stops and tells you, well, let's rethink what you're trying to apply for.
0:51 And then the last piece is the the final step is the output where it gives you the output of all the key keywords key keywords rephrase where it gives you the output of all the keywords so that then we can take these keywords and rewrite our profile with these keywords. >> Awesome. Let's see the output. >> All right. So, here's what we have.
1:23 As you can see, I did a pretty good job of finding the right opportunities that have a lot of coverage. 80%. Can you see this? Or should I increase the size? >> Maybe zoom in. Yeah, a little bit more. Perfect. What does the skill look like on the inside? Can you show us part of how you built it? >> Absolutely. It's pretty simple. That's it. It's just an MD file.
1:55 And what IDE are we looking at by the way? >> I'm in VS Code. >> VS Code. >> So the step one is to gather job descriptions, extract terms into categories, then normalize and rank by coverage and make sure that it diagnoses whether it's focused or not. That's the key part. And if it's not, it just stops and tells you, well, let's rethink what you're trying to apply for.
2:30 And then the last piece is the the final step is the output where it gives you the output of all the key keywords, key keywords, rephrase, where it gives you the output of all the keywords. So that then we can take these keywords and rewrite our profile with these keywords. >> Awesome. Let's see the output. >> All right. So, here's what we have.
3:01 As you can see, I did a pretty good job of finding the right opportunities that have a lot of coverage. 80%. Can you see this? Or should I increase the size? >> Maybe zoom in. Yeah, a little bit more. Perfect. All right, as you can see, I did a pretty good job of finding job descriptions with a very similar coverage. And what you see here is all the keywords by category and how many times did it appear across all the job descriptions. So there are the top job rephrase. So we have all the top keywords where they appeared in every single job description. And then as we scroll down, obviously some of them appear less and less until we have certain things that are very specific to one of the job descriptions.
4:01 Next, if we go down, it will show us what skills we should highlight on our LinkedIn profile. some phrases we can just use inside of our profile that keep showing up in those job descriptions. And then what these roles actually want gaps to flag and lastly there is a keyword brief. So we have all the keyword keywords that appeared in these job descriptions and it's already suggesting hey why don't we just now rewrite your LinkedIn profile. So, I'll say yes to that. And the only thing I need to provide is my actual LinkedIn profile.
4:41 So, I'll copy it here. Yes, please. I'm trying to rephrase I'm trying to be kind to my AI. So that's the LinkedIn profile writer. Can we look at how that skill works? >> Absolutely. So this one has some reference files and the skill itself. So let's look at the skill itself first.
5:16 >> I hope you enjoyed that short clip. You can check out the full episode
Summary
- The skill is built using a simple Markdown file in VS Code.
- Step one involves gathering job descriptions and extracting key terms into categories.
- The skill normalizes and ranks keywords based on their coverage in job descriptions.
- It diagnoses the focus of the job application, providing feedback if it lacks clarity.
- The output includes a list of keywords and phrases to enhance LinkedIn profiles.
- Users receive suggestions on which skills to highlight based on job description trends.
- The tool also flags gaps in skills that employers are looking for.
- It facilitates the rewriting of LinkedIn profiles using the extracted keywords.
Questions Answered
How is the skill built?
The skill is built using a simple MD file in VS Code, focusing on gathering job descriptions, extracting terms, and normalizing them for analysis.
What does the output of the skill look like?
The output includes a list of keywords that can be used to rewrite a profile, showing a high coverage of relevant job opportunities.
What insights can be gained from the keyword analysis?
The analysis shows keywords by category and their frequency across job descriptions, helping to identify what skills to highlight.
How can the skill help improve a LinkedIn profile?
The skill suggests phrases and skills to highlight on LinkedIn based on job descriptions, ensuring alignment with what employers are looking for.
What is the process for rewriting a LinkedIn profile using the skill?
The skill allows users to input their LinkedIn profile and suggests rewrites based on the analyzed keywords from job descriptions.