Cover Letter Generator

Match resume skills to market demand to identify positioning strategy.

Step 3: LinkedIn Research

Use browsing-with-playwright skill or Playwright MCP to search LinkedIn for relevant jobs:

Search Strategy:

1. Navigate to LinkedIn Jobs: https://www.linkedin.com/jobs/
2. Search terms combining: [Primary Skill] + [Secondary Skill] + [Location/Remote]
   • Example: "Agentic AI Developer Remote"
   • Example: "RAG Engineer LLMOps"
3. Find 2 relevant job postings matching the profile
4. For each job, extract:
   • Company name and job title
   • Key technical requirements
   • Company's AI focus/challenges (from description)
   • Hiring manager name (if visible)

Step 4: Bridge the Capability Gap

For each job posting, create a PSI mapping:

Constraint: Never fabricate experience. Reframe existing resume data to address the job's specific challenges.

Step 5: Generate Cover Letters

Create 2 cover letters using the PSI template. See references/psi_template.md.

Requirements:

• Follow PSI format strictly (Problem -> Solution -> Impact)
• Integrate all 5 quality pillars from references/quality_pillars.md
• Maintain professional, technical, impact-oriented tone
• Ensure "Translation Layer" is evident (explaining AI to stakeholders)
• Hyper-personalize to each company's context

Quality Checklist:

• Problem identifies company's specific AI challenge
• Solution uses concrete tools/methods from resume
• Impact includes quantified metrics
• Mentions Responsible AI / ethics alignment
• Demonstrates learning velocity (current tech awareness)
• References company-specific information
• Written with clarity for non-technical readers

Output Format

Deliver 2 complete cover letters, each with:

1. Header (name, LinkedIn, GitHub)
2. Subject line targeting company's challenge
3. PSI body paragraphs
4. Professional closing

Save as: cover_letter_[company_name].md