ai-job-search/documents

Documents Folder

This folder holds your actual career documents. The /setup command reads everything here and uses it to populate the candidate skill files under .claude/skills/job-application-assistant/. It is safe to re-run /setup as you add new documents — it merges intelligently and will never overwrite existing content without asking you first.

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Folder Structure

documents/
├── cv/                          # Your CV files (PDF or LaTeX)
├── linkedin/                    # LinkedIn profile export (PDF)
├── diplomas/                    # Degree certificates and transcripts
├── references/                  # Reference letters
├── applications/                # Past job applications
│   └── <company>_<role>/
│       ├── job_posting.md       # The original job posting (paste as text)
│       ├── cover_letter.tex     # The cover letter you submitted
│       ├── cv_draft.tex         # The CV variant you submitted
│       └── outcome.md           # Result + notes (fill in after hearing back)
└── README.md                    # This file

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cv/

Your master CV — the most complete, unedited version of your professional record.

Supported formats: .pdf, .tex

What /setup extracts:

• Work experience (titles, companies, dates, bullet points)
• Education (degrees, institutions, dates, thesis topics)
• Technical skills
• Awards and publications
• Contact information

Naming: Any filename works. If multiple files are present, /setup reads all of them and cross-references for consistency.

Tip: Keep your most comprehensive CV here (not a tailored variant). The skill files are the canonical source — tailored CVs are generated per application by /apply.

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linkedin/

Your LinkedIn profile exported as a PDF.

How to export: On LinkedIn, go to your profile → More → Save to PDF. This exports a structured summary of your profile.

Supported formats: .pdf

What /setup extracts:

• Work experience and dates (cross-referenced against your CV)
• Skills and endorsements
• Education
• Certifications and licenses
• Volunteer work
• Publications
• About/summary section (used to infer behavioral profile additions)
• Recommendations received (may enrich reference context)

Naming: Any filename works. Only one LinkedIn export is expected; if multiple are present, /setup uses the most recently modified one.

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diplomas/

Degree certificates, transcripts, and any official qualifications.

Supported formats: .pdf

What /setup extracts:

• Degree titles and official names (used to verify education entries)
• Graduation dates
• Grades or distinctions (if visible)
• Institution names (official spelling)

Naming: Use descriptive names, e.g. msc_physics_ucph_2025.pdf, bsc_physics_ucph_2016.pdf. Naming does not affect parsing.

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references/

Reference letters from former managers, supervisors, or collaborators.

Supported formats: .pdf, .txt, .md

What /setup extracts:

• Referee name, title, and organization
• Specific quotes and assessments (added to the references section of 01-candidate-profile.md)
• Competency language used by referees (adds behavioral signal to 02-behavioral-profile.md)

Naming: Use the referee's name, e.g. reference_ole_frandsen.pdf.

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applications/

A record of past job applications. Each subfolder is one application.

Subfolder naming: <company>_<role> — lowercase, underscores for spaces.

Examples:

applications/
├── acme_ml_engineer/
├── bigcorp_software_engineer/
└── consultco_ai_consultant/

Files within each application folder

job_posting.md — Paste the full job posting text here. Used by /setup to infer which skills and role types you have targeted, and to calibrate 04-job-evaluation.md.

cover_letter.tex — The cover letter you actually submitted. Used to extract writing style patterns and structure for 06-cover-letter-templates.md.

cv_draft.tex — The CV variant you submitted. Used to extract profile statement styles for 05-cv-templates.md.

outcome.md — Fill this in after the application resolves. Format:

# Outcome: <Company> — <Role>

**Status:** hired | offer_declined | rejected | no_response | interview_only

**Date resolved:** YYYY-MM-DD

## Interview stages reached
- [ ] Phone screen
- [ ] Technical interview
- [ ] Case interview
- [ ] Final round
- [ ] Offer received

## Notes
What happened? What feedback did you receive (if any)?
What would you do differently?
Any signal about what they valued or didn't?

What /setup learns from outcome.md:

• Which role types and companies have led to interviews (signals strong fit areas)
• Which applications did not progress (informs the experience match calibration in 04-job-evaluation.md)
• Interview feedback, if you recorded it, can surface new STAR candidates

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File Format Notes

Format	Readable by /setup	Notes
.pdf	Yes	Parsed directly with the Read tool
.tex	Yes	LaTeX source — structure and content both readable
.md	Yes	Plain text
.txt	Yes	Plain text
.docx	No	Convert to PDF before placing here
.png / .jpg	No	Scanned documents won't be parsed — use text PDFs

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Re-running /setup

The command is designed to be re-run as your document collection grows. Each run:

1. Reads the current state of all skill files
2. Compares extracted document content against what's already there
3. Only proposes changes for content that is genuinely new or conflicting
4. Never silently overwrites — conflicts are shown explicitly for your decision

When to re-run:

• After adding a new LinkedIn export
• After adding reference letters
• After recording outcomes for completed applications
• After updating your master CV