What does resume-experience-deep-dive do?
A Codex Skill that deconstructs job-seeking experiences through dynamic follow-up questions, generating a credible master experience document, interview anchor points, and a job-tailored resume.
Overview
This skill helps you transform a vague or incomplete work history into a structured, detailed, and credible narrative. By asking targeted questions, it forces you to recall and articulate specific responsibilities, achievements, metrics, and technologies used in each role — turning a simple bullet point into a powerful story.
How It Works
The skill conducts an interactive deep dive through a series of prompts:
- Initial Experience Input - You provide the name of a company/role and a brief description.
- Dynamic Questioning - The skill asks targeted questions to uncover:
- Core responsibilities and day-to-day tasks
- Key projects and your specific contributions
- Quantified results (e.g., improved efficiency by 20%, reduced bugs, led a team of 5)
- Technologies, tools, and methodologies used
- Challenges faced and how you overcame them
- Output Generation - Based on your answers, the skill produces:
- Master Experience Document: A comprehensive, factual account of your experience, suitable for internal records or future reference.
- Interview Anchor Points: 3-5 concise, story-driven talking points that highlight your impact — perfect for behavioral interview questions.
- Tailored Resume Section: A polished, job-optimized resume snippet for the specified role, formatted to pass ATS and impress human readers.
Why Use This Skill?
- Eliminates Vagueness: No more generic phrases like "helped with projects" — you'll get specific, measurable claims.
- Saves Time: Instead of staring at a blank page, the interactive prompts guide you to a complete draft quickly.
- Improves Credibility: Every statement is backed by context and data, making your resume far more convincing.
- Customizable: You can repeat the process for multiple roles and generate multiple tailored versions.
Supported Platforms
This skill is designed for Codex (by OpenAI) and can be adapted for use with other AI coding agents like Claude Code, Cursor, or Copilot — as long as they support interactive prompting and structured output format instructions.
Example Interaction
User: "I worked as a Software Engineer at Acme Corp for 2 years."
Skill: "Great! Tell me more about the core tech stack you used on a daily basis. What were the main programming languages, frameworks, or cloud services?"
User: "Python, Django, AWS (EC2, S3, RDS), and PostgreSQL."
(Skill continues asking about projects, team size, metrics, challenges, etc.)
Final Output (Tailored Resume Snippet):
### Software Engineer, Acme Corp | Jan 2021 – Dec 2022
- Architected and maintained a Django-based microservice handling 50K+ daily API requests, reducing latency by 15% through optimized SQL queries and caching.
- Led a 3-person team to migrate legacy monolith to AWS ECS, achieving 99.9% uptime and cutting infrastructure costs by 30%.
- Implemented automated CI/CD pipeline with GitHub Actions and pytest, increasing deployment frequency from weekly to daily.
Usage Notes
- You may run this skill for each distinct role or company separately.
- The more detailed your answers, the more robust the outputs.
- The skill does not store your data; you are in control of the generated documents.
For best results, come prepared with rough notes about projects, numbers, and technologies. Let the skill refine them into professional assets.