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Resume Version Manager

CommunityPopular
Paramchoudhary
resume-version-manager

Track different resume versions, maintain master resume, manage tailored versions

Overview

PublisherParamchoudhary
RepositoryResumeSkills
Skill nameresume-version-manager
Stars
2.3K
Forks
197
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Paramchoudhary on GitHub. Read the source before you install it.

Installation

Install the Resume Version Manager AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Paramchoudhary/ResumeSkills.git /tmp/ResumeSkills
mkdir -p .claude/skills
cp -r /tmp/ResumeSkills/skills/resume-version-manager .claude/skills/resume-version-manager
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Resume Version Manager in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Resume Version Manager on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Resume Version Manager is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Resume Version Manager

When to Use This Skill

Use this skill when the user:

  • Has multiple resume versions to manage
  • Needs to track tailored resumes
  • Wants to maintain a master resume
  • Is applying to many different roles
  • Mentions: "resume versions", "master resume", "different versions", "track resumes", "which resume"

Core Capabilities

  • Create and maintain master resume document
  • Track tailored resume versions
  • Organize resume versions by role/industry
  • Maintain consistent source of truth
  • Streamline resume updates
  • Prevent version confusion

The Version Management Problem

Common Pain Points:

  • "Which version did I send to Company X?"
  • "Where's my most recent resume?"
  • "I have 15 resume files and don't know which is best"
  • "I forgot to update my resume after that project"
  • "I keep tailoring from different base versions"

The Solution: A systematic approach with:

  1. One master resume (source of truth)
  2. Organized tailored versions
  3. Clear naming conventions
  4. Update workflow

Master Resume Concept

What is a Master Resume?

A comprehensive document containing:

  • ALL your experiences (not just recent)
  • ALL bullet points you've ever written
  • Every achievement, project, skill
  • Full details (even if they won't fit on one page)

Purpose: Source of truth to pull from when tailoring

Master Resume Structure

markdown
# MASTER RESUME - [YOUR NAME]
Last Updated: [Date]

## CONTACT INFORMATION
[Full contact details]

## PROFESSIONAL SUMMARY VERSIONS
[Summary for Role Type A]
[Summary for Role Type B]
[Summary for Role Type C]

## ALL SKILLS
### Technical Skills
[Complete list by category]

### Soft Skills
[Complete list]

### Industry Knowledge
[All domains]

## PROFESSIONAL EXPERIENCE

### Company Name | Title | Dates

**All Bullets (choose best for each application):**
• Bullet 1 (leadership focused)
• Bullet 2 (technical focused)
• Bullet 3 (results focused)
• Bullet 4 (collaboration focused)
• Bullet 5 (additional achievement)
• Bullet 6 (additional achievement)

**Keywords this experience covers:**
[List of keywords this job demonstrates]

### Previous Company | Title | Dates
[Same format...]

## EDUCATION
[Complete education history]

## CERTIFICATIONS
[All certifications ever earned]

## PROJECTS
[All notable projects]

## VOLUNTEER / ADDITIONAL
[All other relevant experience]

File Organization System

Folder Structure

Resume/
├── Master/
│   └── LastName_Master_Resume.docx
├── Tailored/
│   ├── ProductManagement/
│   │   ├── LastName_PM_Google_Jan2024.pdf
│   │   └── LastName_PM_Meta_Jan2024.pdf
│   ├── Engineering/
│   │   ├── LastName_SWE_Startup_Feb2024.pdf
│   │   └── LastName_SWE_Enterprise_Feb2024.pdf
│   └── General/
│       └── LastName_General_Resume.pdf
├── CoverLetters/
│   ├── Google_PM_CoverLetter.docx
│   └── Meta_PM_CoverLetter.docx
└── Applications/
    └── ApplicationTracker.xlsx

File Naming Convention

Pattern: [LastName]_[Role/Type]_[Company]_[Date].pdf

Examples:

  • Smith_ProductManager_Google_Jan2024.pdf
  • Smith_SWE_Stripe_Feb2024.pdf
  • Smith_DataScience_General_2024.pdf
  • Smith_Master_Resume_v3.docx

Version Categories

By Target Role

Product Management:

  • Emphasizes: Strategy, roadmap, metrics, stakeholders
  • Skills highlight: Product tools, analytics, user research

Software Engineering:

  • Emphasizes: Technical projects, systems, code
  • Skills highlight: Languages, frameworks, tools

Data Science:

  • Emphasizes: Analysis, ML, statistical methods
  • Skills highlight: Python, SQL, ML libraries

By Industry

Tech/Startup:

  • Emphasizes: Innovation, growth, scrappiness
  • Tone: Modern, direct, achievement-focused

Enterprise/Corporate:

  • Emphasizes: Scale, process, collaboration
  • Tone: Professional, structured, comprehensive

Finance:

  • Emphasizes: Analysis, compliance, accuracy
  • Tone: Conservative, precise, credentialed

By Seniority Level

Individual Contributor:

  • Focus on execution and technical skills
  • Detailed project descriptions
  • Technical accomplishments

Manager:

  • Team leadership and development
  • Cross-functional collaboration
  • Business impact metrics

Executive:

  • Strategic leadership
  • P&L responsibility
  • Organizational transformation

Application Tracking

Simple Tracker Spreadsheet

| Company | Role | Version Used | Date Applied | Status | Notes |
|---------|------|--------------|--------------|--------|-------|
| Google | PM | PM_Google_Jan | 1/15/24 | Interview | 2nd round 2/1 |
| Meta | PM | PM_Meta_Jan | 1/18/24 | Applied | Referral from John |
| Startup | PM | PM_General | 1/20/24 | Rejected | Too senior |

Information to Track

  • Company name
  • Job title
  • Resume version used
  • Cover letter version used
  • Application date
  • Application method (portal, referral, direct)
  • Current status
  • Follow-up dates
  • Notes and contacts

Update Workflow

When to Update Master Resume

Immediately Update For:

  • New job or promotion
  • Completed major project
  • New skills or certifications
  • Significant achievements
  • Awards or recognition

Quarterly Review:

  • Add recent accomplishments
  • Update metrics with new data
  • Refresh skills section
  • Remove outdated information

Master to Tailored Workflow

1. Start with Master Resume
2. Copy to new file (don't edit master)
3. Analyze job description
4. Select relevant bullets from master
5. Choose appropriate summary version
6. Reorder skills for relevance
7. Add job-specific keywords
8. Trim to appropriate length
9. Save with proper naming convention
10. Update application tracker

Common Scenarios

Scenario 1: Applying to Similar Roles

Strategy:

  • Create one well-tailored version for the role type
  • Make minor adjustments for each company
  • Track which slight variation went where

Scenario 2: Applying to Different Role Types

Strategy:

  • Create separate base versions for each role type
  • Maintain clear folder organization
  • Each version pulls from same master

Scenario 3: Rapid Application Volume

Strategy:

  • Create 2-3 strong category versions
  • Use "general" versions for quick applications
  • Reserve deep tailoring for top choices

Scenario 4: Career Transition

Strategy:

  • Create transition-focused version
  • Emphasize transferable skills
  • Maintain original industry version as backup

Version Control Best Practices

DO:

  • ✅ Always work from master as source
  • ✅ Use consistent naming conventions
  • ✅ Track which version went where
  • ✅ Keep master updated
  • ✅ Date your files
  • ✅ Backup to cloud storage

DON'T:

  • ❌ Edit master directly for applications
  • ❌ Use vague names like "resume_final_v2"
  • ❌ Forget which version you sent
  • ❌ Let master get out of date
  • ❌ Have multiple "master" files
  • ❌ Delete old versions (archive instead)

Output Format

When managing resume versions:

markdown
# RESUME VERSION MANAGEMENT

## Master Resume Status
**Last Updated:** [Date]
**Location:** [File path]
**Total Experience Entries:** [X]
**Total Bullet Points Available:** [X]

## Active Versions

### Role Type: Product Management
**Base Version:** PM_General_2024.docx
**Tailored Versions:**
| Company | File Name | Date Created | Status |
|---------|-----------|--------------|--------|
| Google | PM_Google_Jan24 | 1/15/24 | Submitted |
| Meta | PM_Meta_Jan24 | 1/18/24 | Submitted |

### Role Type: Engineering
[Same structure]

## Update Queue
- [ ] Add Q4 project results to master
- [ ] Update skills with new certification
- [ ] Archive versions older than 6 months

## Recommended Actions
1. [Action 1]
2. [Action 2]

Version Management Checklist

  • ✅ Master resume exists and is current
  • ✅ Folder structure is organized
  • ✅ Naming convention is consistent
  • ✅ Application tracker is maintained
  • ✅ Know which version sent to each company
  • ✅ All versions pull from same master
  • ✅ Backup system in place
  • ✅ Old versions archived (not deleted)
  • ✅ Update workflow is established
  • ✅ Regular master resume reviews scheduled

Frequently asked questions

What does the Resume Version Manager AI skill do?

Track different resume versions, maintain master resume, manage tailored versions

Why use Resume Version Manager on TypingMind?

Because you install it once and use it with any model. Resume Version Manager is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Resume Version Manager in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Paramchoudhary/ResumeSkills/tree/main/skills/resume-version-manager. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Resume Version Manager?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Resume Version Manager?

As many as you like. As long as a model supports skills, you can use Resume Version Manager with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Resume Version Manager AI skill free?

Yes. It is published on GitHub by Paramchoudhary under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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