JobSearch.Skill

An evidence-based Codex skill for managing a job search from candidate profiling through interview preparation.

The skill uses one entry point and loads only the reference module needed for the current task. It can:

• build a verified candidate profile from CVs, publications, portfolios, and public sources;
• discover and screen current openings;
• map job-description requirements to candidate evidence;
• improve and tailor academic CVs and industry resumes;
• track opportunity-specific application artifacts;
• prepare JD-grounded answers and detailed CV or project defenses.

Structure

skills/job-search-pipeline/
├── SKILL.md
├── agents/
│   └── openai.yaml
└── references/
    ├── application-pipeline.md
    ├── candidate-profile.md
    ├── cv-improvement.md
    ├── interview-preparation.md
    ├── jd-alignment.md
    └── job-discovery.md

Install

Ask Codex to install the skill from this repository:

Install the job-search-pipeline skill from
https://github.com/Bowens1998/job-search-pipeline/tree/main/skills/job-search-pipeline

Alternatively, copy skills/job-search-pipeline into $CODEX_HOME/skills/ and restart Codex.

Use

Invoke the skill directly:

Use $job-search-pipeline to review my CV and build a verified candidate profile.

Use $job-search-pipeline to find current roles that match my profile and constraints.

Use $job-search-pipeline to tailor my CV to this job description and prepare interview deep dives.

Design principles

• Keep one verified source of truth for candidate claims.
• Separate verified facts, candidate-stated information, and inference.
• Never fabricate qualifications, metrics, responsibilities, or outcomes.
• Preserve a master CV and create separate opportunity-specific versions.
• Verify live openings with dated sources.
• Require user approval before external submission or messaging.

License

MIT