Remove setup.sh in favor of skyvern CLI (#4737)

tests/smoke_tests/data/workable_yes_or_no/navigation_payload.json

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+{"name":"Minni Doc","first_name":"Minni","last_name":"Doc","email":"mezname11@yahoo.com","phone_number":"4156804201","portfolio_link":"https://www.amazon.science/author/minidoc","resume_link":"https://test.google.com/resume.pdf","BirthDate":"5/20/1990","Pronouns":"He/him/his","Location":"1 Warriors Way, San Francisco CA 94158","Gender_Identity":"Male","Sexual_Orientation":"Straight","Ethnicity":"Asian/East Asian","Veteran_Status":"N","Disability_Status":"N","Education_Level":"PhD/Doctor","School_Attended":"Stanford University","First_generation_in_college":"Yes","Authorized_to_work_in_US":"Yes","Will you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status)?":"No","Current_Employer":"Lyft","Current_Role":"Applied Scientist","LinkedIn":"https://www.linkedin.com/in/xinchi-chen-b1997bb1/","language proficiency":"I am proficient in English and Chinese (Mandarin)","work_experience_1":"company:Amazon AWS, title: Applied Scientist, experience: Lead a team of data scientists, which focus on ML, IR and NLP. We're the core team behind AWS enterprise knowledge base tooling and large language model. QA benchmarking as an example is one of the focus I have here.","work_experience_2":"company:The University of Edingburgh, title: Research Associate, experience: Focused on NLP and deep learning research. Specialized in Capturing argument interaction in semantic role labeling with capsule networks. I also did lots of research on convolutional interaction network for natural language inferences.","work_experience_3":"company:Microsoft, title: Research Intern, experience: Attention-Fused Deep Matching Network for Natural Language Inference","Q01 - What made you go into Data Science / Research in NLP?":"NLP is the perfect combination of my creative and analytical skills. I really love solving hard research problems which could end up benefiting real-world applications that will enhance people's lives. It's such an interesting field that is constantly evolving and I knew I had found my passion when I discovered NLP and data research work.","Q02 - What is your experience with working with developers on a team?":"I have experience creating comprehensive docs for developers. These docs include precise measurements, annotations, and specifics from researches we've done.","Q03 - What is your favorite aspect of software / data science?":"What I love most about software and data science is the fusion of creativity and problem-solving. It allows me to combine my techinical instincts with analytical thinking to craft solutions that not only solves hard problems but benefit people well. I enjoy seeing a product come to life and knowing I had a part in that!","Q04 - Please select your years of experience":"0-5 Years","Q05 - Tell us about your experience and how it relates to this position.":"I'm currently leading a team of research scientists in AWS. To summarize my key skills that relate to this position: Proficiency in designing and implementing LLM systems. Proficiency in leading a scientists team.","Q06 - What are your weaknesses as scientist / developer?":"One of my current areas for improvement lies in my familiarity with certain used tools in the industry, as I haven't worked outside of AWS in the industry. Most of the tools I've been using are built within Amazon AWS","Q07 - Have you worked remotely before?":"Yes","Q08 - Are you comfortable meeting often or even daily for meeting that require you to be on video?":"Yes","Q09 - What are your career goals?":"I envision a lifelong career in data, research and engineering. Always growing and expanding my skillset as the field continues to evolve. I'd like to eventually choose a niche to focus on. I would also like to take on DS lead or manager role eventually to use my leadership skills to drive impact on a team!","expected salary":"I am currently interviewing for roles ranging 180,000 to 250,000."}