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Kaidanov
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daily-cv

Generates ATS-optimized CVs and cover letters from a verified profile for daily job applications.

2|1|Updated Jun 23, 2026
Search Tags:#automation#job search#cover letter#python-docx#cv generation#ats optimization#anti-fabrication
One-click install
npx skills add https://github.com/Kaidanov/grekai-skills-4all --skill daily-cv-kaidanov
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: daily-cv
Source: https://github.com/Kaidanov/grekai-skills-4all/tree/main/skills/daily-cv
Command: npx skills add https://github.com/Kaidanov/grekai-skills-4all --skill daily-cv-kaidanov

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python-docx, reportlab, pdfplumber, and includes scripts (resource) components.

What problem does it solve? Job hunting requires finding live openings, verifying they accept applications, and tailoring a CV and cover letter for each one without inventing credentials. This Skill automates that daily loop while enforcing strict anti-fabrication rules so every claim traces back to your real profile. ## Core Features & Use Cases - Job Search & Validation: Searches techmap CSVs, LinkedIn, Greenhouse APIs, and a company watchlist, then validates each posting against rules R1-R31 (live status, recency, location, seniority, no duplicates). - Document Generation: Produces a one-page ATS-optimized CV (DOCX + PDF via python-docx and reportlab) and a tailored cover letter using only facts from your gitignored profile/PROFILE.json. - Self-Learning Workflow: Reads a learnings log before every run, writes partial entries before generation, updates a local tracker, and never repeats a company+role pair. - Use Case: A VP Engineering candidate schedules a weekday run that finds one verified open role, outputs an apply link, a keyword-scored CV and cover letter, interview prep notes, and a tracker update. ## Quick Start Run INIT.md once to build your profile/PROFILE.json, then ask your AI assistant to run the daily-cv skill to find one verified open role and generate a tailored CV and cover letter for it.

Frequently Asked Questions about daily-cv

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate an ATS-optimized CV with Python?▼

Run generate_cv.py and generate_pdf.py from the scripts folder with --company, --role, --run-date, and a JD-tuned --summary. The scripts load your profile/PROFILE.json via profile_loader.py and emit a one-page DOCX and PDF using python-docx and reportlab.

How does the skill prevent fabricated resume content?▼

Every number in generated documents must trace to profile.key_metrics in PROFILE.json, and unsupported requirements are marked as gaps. Blocking checks reject emojis, em-dashes, banned buzzwords, first-person pronouns, and any name order mismatch.

What Python packages does daily-cv require?▼

The generators require python-docx and reportlab, installed via pip. Optionally, Poppler's pdfinfo validates the one-page PDF constraint and pdfplumber runs the ATS keyword check with whitespace normalization.

Why does my generated CV show Jane Doe instead of my name?▼

The generators fall back to the fictional PROFILE.example.json when profile/PROFILE.json is missing, printing a loud warning. Copy PROFILE.template.json to PROFILE.json, fill in your real data, and re-run the scripts.

Can I schedule the daily job search to run automatically?▼

Yes, paste the prompt from SCHEDULED_TASK_PROMPT.md into a scheduling-capable assistant for a weekday-morning routine. Complete INIT.md first so your PROFILE.json exists before the scheduled runs begin.

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