rubenviolinha resume-cover-letter-generator
Generates tailored resumes and cover letters for targeted job applications.
Description
Takes a list of job URLs (typically from /job-analyzer results) and automatically generates tailored resume and cover letter PDFs customized for each role. Perfect for batch-processing your top job picks.
Input Format
Users provide one of:
- Job URLs - Direct LinkedIn job URLs or list of URLs
- Job analyzer results - Copy-paste from job-analyzer output (skill auto-extracts URLs)
- Manual job list - Simple list: "TechCorp Senior PM", "Google PM", etc.
Plus:
- User's resume - Paste your current resume text or mention a file path
- Optional context - Any specific achievements or projects you want highlighted
Usage Examples
/resume-cover-letter-generator
Jobs:
- https://www.linkedin.com/jobs/view/123456/
- https://www.linkedin.com/jobs/view/234567/
- https://www.linkedin.com/jobs/view/345678/
Resume: [paste your resume here or say "use my resume at ~/path"]
Or after using job-analyzer:
The top 3 picks look great. Generate tailored resumes and cover letters for:
- TechCorp (Senior Product Manager)
- Google (Product Manager)
- Microsoft (Senior PM)
My resume is at ~/Documents/resume.txt
Workflow
Phase 1: Parse Input
- Extract job URLs from user message
- Fetch full job descriptions in parallel (WebFetch)
- Extract company name, job title, key requirements, skills from each JD
Phase 2: Analyze & Generate
- For each job:
- Identify top 3-5 key requirements from JD
- Generate tailored resume (Claude) - reorder/emphasize relevant experience
- Generate tailored cover letter (Claude) - address specific role + company
- Save both as HTML files (for review before PDF if needed)
Phase 3: PDF Export
- Convert each resume HTML → PDF via Playwright
- Convert each cover letter HTML → PDF via Playwright
- Organize in
output/{CompanyName}/folders - Verify all PDFs created successfully
Phase 4: Summary
- Show list of generated documents
- Display file paths for easy access
- Offer to open folder or export summary
Output
File Structure:
output/
├── CompanyName_1/
│ ├── Resume_CompanyName_1.pdf
│ └── CoverLetter_CompanyName_1.pdf
├── CompanyName_2/
│ ├── Resume_CompanyName_2.pdf
│ └── CoverLetter_CompanyName_2.pdf
Resume: Tailored version highlighting role-relevant experience, reordered to match job requirements Cover Letter: Standard business format with specific company/role references and 1-2 tailored requirements
Key Rules
- Always fetch actual JD - Never invent job requirements
- Reuse existing experience - Don't fabricate skills or roles, emphasize what's relevant
- Specific over generic - Cover letters mention company name + specific requirement
- Parallel generation - Process 3-5 jobs simultaneously (~20-30s total time)
- ATS-friendly - Resume uses standard format readable by applicant tracking systems
- Idempotent - Safe to re-run; overwrites existing PDFs without duplication
- User's resume is source of truth - All content tailored from provided resume, never invented
Implementation Notes
- Reuse
job-analyzerWebFetch pattern for parallel job fetching - Use Playwright (from
scraper/pdf_generator.mjsutility) for HTML → PDF conversion - Resume template: Adapt existing
resume/resume-template.htmlwith dynamic data injection - Cover letter template: New clean HTML template with standard business letter format
- Folder creation: Auto-create
output/{company}/if doesn't exist - Error handling: If any PDF fails, report which job(s) and why; continue with others
Related Skills
job-analyzer- Use this first to find/rate jobs, then pass results here for doc generationlinkedin-jobs-fetch- Use to fetch your saved LinkedIn jobs as input
Feedback Loop
Generated docs can be:
- Reviewed before final PDF (with Claude help for edits)
- Directly submitted via LinkedIn/company career pages
- Fine-tuned for multiple rounds of applications