07-interview-prep.md holds STAR examples, tough-question patterns, questions to ask, and a roleplay protocol - and the job-application- assistant skill names interview preparation as its Step 4 - but no command operationalizes any of it. /apply ends at 'files ready', and the moment an interview is scheduled, nothing picks the thread back up. /interview does, drawing on the archive /outcome now maintains. /apply optimizes what the company reads; /interview optimizes what the company hears. The bridge is consistency: the interviewer read the submitted CV and cover letter, so prep must match what they claim. How it works: - Loads the application context from documents/applications/ <company>_<role>/: the exact posting, the submitted drafts, and outcome.md's stage + recorded feedback (stage-N feedback is the highest-priority input for stage-N+1 prep). Graceful fallbacks for applications that predate /outcome, stating plainly what is missing - Runs the Company Research Checklist that 04-job-evaluation.md defines but nothing executes, plus interviewer-angle notes from public professional info only. Every company claim is independently verified before it enters the pack - same rule as cover-letter claims - Builds a stage-specific prep pack: likely questions (earlier-stage feedback first, then fit-evaluation gaps with honest bridge answers per 07's you-don't-have-X pattern, then posting requirements, then stage type), STAR mapping via 07's Use-for tags with new drafts grounded strictly in profile facts, a consistency brief of the submitted documents' probeable claims, customized tough questions, 4-6 questions to ask, logistics tips - Saves the pack to documents/applications/<company>_<role>/ interview_prep_<stage>.md - one per stage, kept as history, gitignored with the rest of the archive - Offers a mock interview following 07's Roleplay Guidelines verbatim, with feedback calibrated against the behavioral profile (same voice-consistency rule the /apply reviewer applies) - Never edits framework or profile files, except appending user-approved STAR examples to 07 on explicit request Integration: /outcome suggests /interview when an interview stage is recorded; documents/README.md documents the interview_prep_<stage>.md files (and that /setup ignores them); README commands list and file tree.
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.
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
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.
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.
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.
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.
applications/
A record of past job applications. Each subfolder is one application.
You can maintain these folders by hand, or let the /outcome command do it: it records progress updates and final results conversationally, archives the submitted drafts and the posting text, keeps outcome.md in the format below, and updates job_search_tracker.csv in the same step.
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:** in_progress | 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?
in_progress marks an application that is still open (used by /outcome for interview-stage updates before a resolution). /setup's calibration draws conclusions only from applications with a final status.
Application folders may also contain interview_prep_<stage>.md files written by /interview (one per interview stage, kept as history). /setup reads only the four files named above and ignores these.
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
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 |
Re-running /setup
The command is designed to be re-run as your document collection grows. Each run:
- Reads the current state of all skill files
- Compares extracted document content against what's already there
- Only proposes changes for content that is genuinely new or conflicting
- 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