After an 11-year role ended, they built a five-check filter for their job search
A five-check job filter built in Claude screened 23 real postings, narrowing them to 6 applications and 2 recruiter screens.
After being laid off from a role they had held for 11 years, this job seeker refused to spend their hours on applications that would never fit. They built one simple, consistent filter with Claude and let it surface the facts while they kept the final say. It is a quiet, practical story about turning a hard moment into a clear system.
Career Assistant Skill
Before
Laid off from an 11-year role, they faced a job search with no wish to burn hours on postings that were never a real fit. Every promising listing meant researching salary, culture and red flags by hand. Each borderline role invited more hovering and second-guessing.
“After being laid off from an 11-year role, I needed to job search efficiently, without burning hours applying to postings that were never going to be a real fit.”
In their own words
The turning point
They started small. Using Claude's Skills feature, they built one scorecard that runs the moment they share a posting: minimum pay, location fit, red flags in the wording, job level, and a live check on the company's pay, retention and culture. Always five checks, always in the same order. No complicated setup and no new tool to learn.
“Consistency was the real difference-maker, not complexity.”
In their own words
After
They still skim a posting first, then run it through the filter when it looks worth a closer look. So far they have screened 23 real postings and applied to only 6, and two of those became recruiter screens. They apply faster when a role clears and review more postings overall, and they are exploring a template others could adapt.
What it lets people do
The filter gives a job seeker the full picture of a role, not just the posting, in a few moments. It flags vague compensation and unclear scope, checks the company itself, and leaves the decision firmly with the person.
What they learned
They found that consistency, not complexity, made the difference. Keeping the build simple also let them spot problems quickly, like results that did not add up and files that were not real, which a bigger build might have hidden.
“Starting simple is what let me actually notice something was wrong.”
In their own words
Career Assistant Skill was built during AI Mastery.
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Written 7 August 2026 Submitted by the storyteller
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