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This skill helps applicants refine their resumes and interview strategies for specialized AI roles, including RAG, Agentic RL, and multimodal systems. It audits raw experience against job descriptions to map fit and identify evidence gaps without fabricating qualifications.
Beyond resume polishing, the system generates interviewer-style grilling questions and evidence-upgrade plans to help candidates better articulate their technical contributions.
WHO IT'S FOR
AI research students
tailoring resumes for LLM and RAG internships
Machine Learning candidates
preparing for technical AI interviews
AI engineering applicants
identifying open-source projects to build experience
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.
A target job description or description of the target role to replace `[paste the JD or describe the role]`
Raw resume text to replace `[paste the resume]`
Use LLMInternSkill.
Please polish my resume without fabricating experience.
Target role:
[paste the JD or describe the role]
Raw resume:
[paste the resume]
Please provide:
1. Before / After
2. Which lines are safe and which should be downgraded
3. A more technical version
4. A JD-targeted version
5. Likely interview follow-up questions
Claude
Codex