mirror of
https://github.com/MadsLorentzen/ai-job-search.git
synced 2026-09-17 08:36:25 +00:00
Ayobami Adegoke
2551824ecb
An ATS reads the compiled PDF's embedded text layer, not the rendered page, and LaTeX can silently produce PDFs whose text extracts as garbage: icon glyphs where contact details should be, (cid:*) markers from fonts without Unicode mappings, interleaved lines from multi-column layouts. This matters more now that /add-template lets users bring arbitrary templates. The existing Step 5 loop verifies what a human sees; this adds verification of what a parser sees. New Step 5d in /apply (CV only - cover letters rarely go through keyword screening; cleanup renumbered to 5e): - Extract the CV PDF's text layer with pdftotext -layout. pdftotext (poppler) is an optional dependency: if missing, the mechanical check is skipped with a warning and keyword coverage falls back to the visual PDF read - the same graceful-skip pattern as salary_lookup.py - Parseability checks verified against a real extraction of the stock template: email/phone must survive as literal text (fontawesome icons extract as harmless glyph-name noise like MOBILE-ALT/Envelope, but a contact detail carried only by an icon or hyperlink is invisible to ATS), no (cid:*) or replacement-character garbage, reading order matching visual order, dates present - Keyword coverage reuses the required/preferred list from Step 1, matched in the posting's language, reported as covered / synonym-only / missing-have-it / missing-gap. Honesty rule enforced: keywords the profile genuinely supports get added to experience bullets; genuine gaps stay visible, never stuffed Integration: CLAUDE.md verification checklist section, ATS Parseability guidance in 05-cv-templates.md, narrow Bash(pdftotext:*) entry in the pre-approved permissions (keeping with the tightened scope from #27), cv/*.txt gitignored (extraction is personal data; also deleted by the step itself), and optional-dependency docs in README and SETUP.
74 lines
1.2 KiB
Plaintext
74 lines
1.2 KiB
Plaintext
# Dependencies
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node_modules/
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bun.lock
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# Python
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__pycache__/
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*.pyc
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*.pyo
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.venv/
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venv/
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# Compiled documents
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*.pdf
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*.aux
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*.log
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*.out
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*.synctex.gz
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*.fls
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*.fdb_latexmk
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# Personal data (never commit these)
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salary_data.json
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job_scraper/seen_jobs.json
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job_scraper/*.md
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*_BehavioralReport.pdf
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linkedin_Profile.pdf
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# Personal photos and signatures
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*.jpg
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*.jpeg
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*.png
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!cover_letters/OpenFonts/fonts/**
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# OS files
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.DS_Store
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Thumbs.db
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# Editor
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.vscode/
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.idea/
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# Memory files (Claude Code user-specific)
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.claude/projects/
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# Skills lock (auto-generated)
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skills-lock.json
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# Personal application output files (generated by /apply — do not share)
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cv/main_*.tex
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!cv/main_example.tex
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cv/*.txt
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cover_letters/cover_*.tex
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cover_letters/Cover_*.tex
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# documents/ subfolder contents are personal — only README and folder structure are tracked
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documents/cv/**
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documents/linkedin/**
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documents/diplomas/**
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documents/references/**
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documents/applications/**
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!documents/**/.gitkeep
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# Personal job search tracking
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job_search_tracker.csv
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# Upskill reports (personal output)
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upskill/*.md
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# Agent skills: track the source, ignore only deps and logs.
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# (A blanket `.agents/` ignore silently drops the job-search CLI skills from the repo.)
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.agents/**/node_modules/
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.agents/**/*.log
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.agents/usage/
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