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Ayobami Adegoke
75fbfc56e4
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.
182 lines
6.6 KiB
Markdown
182 lines
6.6 KiB
Markdown
# Documents Folder
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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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---
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## Folder Structure
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```
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documents/
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├── cv/ # Your CV files (PDF or LaTeX)
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├── linkedin/ # LinkedIn profile export (PDF)
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├── diplomas/ # Degree certificates and transcripts
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├── references/ # Reference letters
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├── applications/ # Past job applications
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│ └── <company>_<role>/
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│ ├── job_posting.md # The original job posting (paste as text)
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│ ├── cover_letter.tex # The cover letter you submitted
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│ ├── cv_draft.tex # The CV variant you submitted
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│ └── outcome.md # Result + notes (fill in after hearing back)
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└── README.md # This file
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```
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---
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## cv/
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Your master CV — the most complete, unedited version of your professional record.
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**Supported formats:** `.pdf`, `.tex`
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**What `/setup` extracts:**
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- Work experience (titles, companies, dates, bullet points)
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- Education (degrees, institutions, dates, thesis topics)
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- Technical skills
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- Awards and publications
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- Contact information
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**Naming:** Any filename works. If multiple files are present, `/setup` reads all of them and cross-references for consistency.
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**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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---
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## linkedin/
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Your LinkedIn profile exported as a PDF.
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**How to export:** On LinkedIn, go to your profile → More → Save to PDF. This exports a structured summary of your profile.
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**Supported formats:** `.pdf`
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**What `/setup` extracts:**
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- Work experience and dates (cross-referenced against your CV)
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- Skills and endorsements
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- Education
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- Certifications and licenses
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- Volunteer work
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- Publications
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- About/summary section (used to infer behavioral profile additions)
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- Recommendations received (may enrich reference context)
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**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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---
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## diplomas/
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Degree certificates, transcripts, and any official qualifications.
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**Supported formats:** `.pdf`
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**What `/setup` extracts:**
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- Degree titles and official names (used to verify education entries)
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- Graduation dates
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- Grades or distinctions (if visible)
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- Institution names (official spelling)
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**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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---
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## references/
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Reference letters from former managers, supervisors, or collaborators.
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**Supported formats:** `.pdf`, `.txt`, `.md`
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**What `/setup` extracts:**
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- Referee name, title, and organization
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- Specific quotes and assessments (added to the references section of `01-candidate-profile.md`)
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- Competency language used by referees (adds behavioral signal to `02-behavioral-profile.md`)
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**Naming:** Use the referee's name, e.g. `reference_ole_frandsen.pdf`.
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---
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## applications/
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A record of past job applications. Each subfolder is one application.
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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.
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**Subfolder naming:** `<company>_<role>` — lowercase, underscores for spaces.
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Examples:
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```
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applications/
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├── acme_ml_engineer/
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├── bigcorp_software_engineer/
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└── consultco_ai_consultant/
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```
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### Files within each application folder
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**`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`.
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**`cover_letter.tex`** — The cover letter you actually submitted. Used to extract writing style patterns and structure for `06-cover-letter-templates.md`.
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**`cv_draft.tex`** — The CV variant you submitted. Used to extract profile statement styles for `05-cv-templates.md`.
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**`outcome.md`** — Fill this in after the application resolves. Format:
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```markdown
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# Outcome: <Company> — <Role>
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**Status:** in_progress | hired | offer_declined | rejected | no_response | interview_only
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**Date resolved:** YYYY-MM-DD
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## Interview stages reached
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- [ ] Phone screen
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- [ ] Technical interview
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- [ ] Case interview
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- [ ] Final round
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- [ ] Offer received
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## Notes
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What happened? What feedback did you receive (if any)?
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What would you do differently?
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Any signal about what they valued or didn't?
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```
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`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.
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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.
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**What `/setup` learns from outcome.md:**
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- Which role types and companies have led to interviews (signals strong fit areas)
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- Which applications did not progress (informs the experience match calibration in `04-job-evaluation.md`)
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- Interview feedback, if you recorded it, can surface new STAR candidates
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---
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## File Format Notes
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| Format | Readable by `/setup` | Notes |
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|--------|--------------------------|-------|
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| `.pdf` | Yes | Parsed directly with the Read tool |
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| `.tex` | Yes | LaTeX source — structure and content both readable |
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| `.md` | Yes | Plain text |
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| `.txt` | Yes | Plain text |
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| `.docx` | No | Convert to PDF before placing here |
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| `.png` / `.jpg` | No | Scanned documents won't be parsed — use text PDFs |
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---
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## Re-running `/setup`
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The command is designed to be re-run as your document collection grows. Each run:
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1. Reads the current state of all skill files
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2. Compares extracted document content against what's already there
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3. Only proposes changes for content that is genuinely new or conflicting
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4. Never silently overwrites — conflicts are shown explicitly for your decision
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**When to re-run:**
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- After adding a new LinkedIn export
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- After adding reference letters
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- After recording outcomes for completed applications
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- After updating your master CV
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