resume-tailoring

Resume Tailoring Skill

AI-powered resume generation that researches roles, surfaces undocumented experiences, and creates tailored resumes from your existing resume library.

Mission: Your ability to get a job should be based on your experiences and capabilities, not on your resume writing skills.

Table of Contents

• Overview
• Installation
• Prerequisites
• Quick Start
• Key Features
• Architecture
• Usage Examples
• Contributing
• License

Overview

This Claude Code skill generates high-quality, tailored resumes optimized for specific job descriptions while maintaining factual integrity. It goes beyond simple keyword matching by:

• Multi-Job Batch Processing: Process 3-5 similar jobs efficiently with shared experience discovery (NEW!)
• Deep Research: Analyzes company culture, role requirements, and success profiles
• Experience Discovery: Surfaces undocumented experiences through conversational branching interviews
• Smart Matching: Uses confidence-scored content selection with transparent gap identification
• Multi-Format Output: Generates professional MD, DOCX, PDF, and interview prep reports
• Self-Improving: Library grows with each successful resume

Installation

Option 1: Install from GitHub (Recommended)

1. Clone the repository:

   git clone https://github.com/varunr89/resume-tailoring-skill.git ~/.claude/skills/resume-tailoring
   

2. Verify installation:

   ls ~/.claude/skills/resume-tailoring
   

   You should see: SKILL.md, research-prompts.md, matching-strategies.md, branching-questions.md, README.md

3. Restart Claude Code (if already running)

Option 2: Manual Installation

1. Create the skill directory:

   mkdir -p ~/.claude/skills/resume-tailoring
   

2. Download the files:

   • Download all files from this repository
   • Place them in ~/.claude/skills/resume-tailoring/

3. Verify installation:

   • Open Claude Code
   • Type /skills to see available skills
   • resume-tailoring should appear in the list

Prerequisites

Required:

• Claude Code with skills enabled
• Existing resume library (at least 1-2 resumes in markdown format)

Optional but Recommended:

• WebSearch capability (for company research)
• document-skills plugin (for DOCX/PDF generation)
• 10+ resumes in your library for best results

Resume Library Setup:

Create a resumes/ directory in your project:

mkdir -p ~/resumes

Add your existing resumes in markdown format:

~/resumes/
├── Resume_Company1_Role1.md
├── Resume_Company2_Role2.md
└── Resume_General_2024.md

Quick Start

Single Job Application

1. Invoke the skill in Claude Code:

"I want to apply for [Role] at [Company]. Here's the JD: [paste job description]"

2. The skill will automatically:

1. Build library from existing resumes
2. Research company and role
3. Create optimized template (with checkpoint)
4. Offer branching experience discovery
5. Match content with confidence scores (with checkpoint)
6. Generate MD + DOCX + PDF + Report
7. Optionally update library

3. Review and approve:

• Checkpoints at key decision points
• Full transparency on content matching
• Option to revise or approve at each stage

Multiple Jobs (Batch Mode - NEW!)

1. Provide multiple job descriptions:

"I want to apply for these 3 roles:
1. [Company 1] - [Role]: [JD or URL]
2. [Company 2] - [Role]: [JD or URL]
3. [Company 3] - [Role]: [JD or URL]"

2. The skill will:

1. Detect multi-job intent and offer batch mode
2. Build library once (shared across all jobs)
3. Analyze gaps across ALL jobs (deduplicates common requirements)
4. Conduct single discovery session addressing all gaps
5. Process each job individually (research + tailoring)
6. Present all resumes for batch review

3. Time savings:

• Shared discovery session (ask once, not 3-5 times)
• 11-27% faster than processing jobs sequentially
• Same quality as single-job mode

Files

Core Implementation

• SKILL.md - Main skill implementation with single-job and multi-job workflows
• multi-job-workflow.md - Complete multi-job batch processing workflow
• research-prompts.md - Company/role research templates
• matching-strategies.md - Content scoring algorithms
• branching-questions.md - Experience discovery patterns

Documentation

• README.md - This file
• MARKETPLACE.md - Marketplace listing information
• SUBMISSION_GUIDE.md - Skill submission guidelines