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Resume Tailor

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Paramchoudhary
resume-tailor

Customize resume for specific job postings while maintaining truthfulness

Overview

PublisherParamchoudhary
RepositoryResumeSkills
Skill nameresume-tailor
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 Tailor 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-tailor .claude/skills/resume-tailor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Resume Tailor 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 Tailor 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 Tailor 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 Tailor

When to Use This Skill

Use this skill when the user wants to:

  • Customize their resume for a specific job posting
  • Adjust their resume to match job requirements
  • Create a targeted version of their resume
  • Mentions: "tailor resume", "customize resume", "target role", "specific job", "match job description"

Use AFTER job-description-analyzer to know what to emphasize.

Core Capabilities

  • Reorder experience sections by relevance to target role
  • Adjust professional summary for specific position
  • Add missing keywords from job description
  • Modify bullet points to match job requirements
  • Maintain authenticity while optimizing match
  • Create multiple targeted resume versions

The Tailoring Philosophy

Key Principle: You're not lying or fabricating - you're HIGHLIGHTING the most relevant parts of your true experience.

Think of your full experience as a library of achievements. Tailoring means selecting the books that best fit what each employer is looking for.

Tailoring Process

Step 1: Analyze the Job (Use Job Description Analyzer First)

  • Identify required skills and keywords
  • Note the company's priorities
  • Understand the role's primary responsibilities

Step 2: Audit Your Resume

For each section, ask:

  • Does this support my candidacy for THIS specific role?
  • Is there a better way to phrase this for THIS job?
  • Should this be higher or lower in priority?

Step 3: Make Strategic Adjustments

Professional Summary: Rewrite to mirror the job's key requirements

Skills Section: Reorder to put most relevant skills first, add missing keywords

Experience:

  • Reorder jobs if a less recent role is more relevant
  • Swap bullet points to lead with most relevant achievements
  • Add keywords naturally into existing bullets

Education: Highlight relevant coursework, certifications

Section-by-Section Tailoring Guide

Professional Summary

This is your "elevator pitch" - customize for each application.

Generic Summary (AVOID):

Results-driven professional with 5 years of experience in business operations. Strong analytical and communication skills. Looking for a challenging opportunity to grow.

Tailored for Operations Manager Role:

Operations Manager with 5 years optimizing supply chain processes and reducing costs by 25%. Expertise in Lean Six Sigma, vendor management, and cross-functional team leadership. Track record of improving operational efficiency while maintaining quality standards.

Tailored for Project Manager Role (Same Person):

Project Manager with 5 years leading cross-functional initiatives from concept to delivery. PMP-certified with expertise in Agile methodology, stakeholder management, and budget oversight. Track record of on-time, under-budget project delivery across $10M+ portfolios.

Skills Section Reordering

Job Description Emphasizes: Data analysis, SQL, Python, stakeholder communication

Before (Generic Order):

Skills: Microsoft Office, Communication, Project Management, Python, SQL, Data Visualization, Leadership

After (Tailored Order):

Skills: SQL, Python, Data Analysis, Data Visualization, Stakeholder Communication, Project Management, Microsoft Office

Experience Section

Strategy 1: Reorder Jobs

If your most recent job is less relevant than a previous role:

Before:

  1. Marketing Coordinator (current, but applying for data role)
  2. Data Analyst (previous, highly relevant)

After:

  1. Data Analyst (labeled with dates, moved up)
  2. Marketing Coordinator (still included, but secondary)

Strategy 2: Swap Bullet Order

Lead with bullets most relevant to the target role.

Applying for Management Role - Lead with:

  • "Led team of 12..."
  • "Managed budget of $2M..."

Applying for Technical Role - Lead with:

  • "Developed automated system..."
  • "Analyzed 500K+ data points..."

Strategy 3: Adjust Bullet Language

Incorporate job description keywords while staying truthful.

Job Description Says: "stakeholder management" Your Bullet Says: "Worked with various teams" Tailored Version: "Managed stakeholder relationships across 5 departments, ensuring alignment on project priorities"

Tailoring Templates

For Each Job Application, Create:

markdown
## RESUME TAILORING PLAN

**Target Position:** [Job Title]
**Company:** [Company Name]
**Match Score:** [From JD Analyzer]

### Summary Customization
**Current:** [Your current summary]
**Tailored:** [Rewritten for this role]

### Skills Reordering
**Current Order:** [List]
**New Order:** [Reordered list with added keywords]
**Keywords Added:** [New skills from JD]

### Experience Adjustments

**Job 1: [Title]**
- Bullet to emphasize: [Which bullet to lead with]
- Keyword to add: [What phrase to incorporate]
- Bullet to de-emphasize: [Move down or remove if space needed]

**Job 2: [Title]**
[Same structure]

### Other Adjustments
- Education: [Any relevant coursework to add]
- Certifications: [Any to highlight]
- Projects: [Relevant projects to include]

Common Tailoring Scenarios

Scenario 1: Technical Role at Non-Tech Company

Challenge: They want technical skills but also business acumen

Strategy:

  • Lead with technical achievements
  • Include business impact in every technical bullet
  • Add "translated technical concepts for business stakeholders"

Scenario 2: Management Role (But You've Done Both IC and Management)

Challenge: Show leadership without abandoning technical credibility

Strategy:

  • Summary: Emphasize leadership
  • Experience: Lead with team management bullets
  • Keep some technical bullets to show you understand the work

Scenario 3: Startup (But You've Worked at Big Companies)

Challenge: Show you can thrive in ambiguity and wear many hats

Strategy:

  • Highlight cross-functional work
  • Emphasize initiative and self-starting
  • Show scrappy, creative problem-solving
  • De-emphasize rigid processes and large team structures

Scenario 4: Big Company (But You've Worked at Startups)

Challenge: Show you can work within structure and at scale

Strategy:

  • Emphasize process improvement
  • Highlight work that scaled
  • Show collaboration across teams
  • Add metrics that show impact at scale

Keyword Integration Rules

DO:

  • Add keywords that truthfully describe your work
  • Use exact phrasing from job description when accurate
  • Place keywords naturally in context
  • Include keywords in multiple locations (summary, skills, experience)

DON'T:

  • Add skills you don't actually have
  • Keyword stuff (repeating same term 10x)
  • Create a different meaning than your actual experience
  • Sacrifice readability for keyword density

Truth vs. Tailoring Line

Acceptable Tailoring:

  • Reordering true information
  • Emphasizing relevant experience
  • Using industry-standard terminology
  • Adding context to vague statements
  • Matching language style to job description

Unacceptable (Lying):

  • Adding skills you don't have
  • Changing numbers or metrics
  • Creating fake experiences
  • Claiming titles you didn't hold
  • Stating certifications you don't have

Version Management

Maintain a Master Resume

  • Keep ONE complete document with ALL experiences
  • Include every bullet you've ever written
  • This is your "source of truth"

Create Targeted Versions

  • Name files clearly: "JohnSmith_Resume_ProductManager_TechCorp.pdf"
  • Track which version went to which company
  • Save tailoring notes for interview prep

Version Naming Convention

[LastName]_Resume_[TargetRole]_[Company]_[Date].pdf

Examples:
- Smith_Resume_PM_Google_Jan2024.pdf
- Smith_Resume_DataAnalyst_Meta_Jan2024.pdf
- Smith_Resume_General_Master.docx (your master file)

Quick Tailoring Checklist

Before submitting any resume:

  1. ✅ Summary mentions the exact job title/function
  2. ✅ Top 5 skills match job description's top 5 requirements
  3. ✅ Most relevant experience is positioned first
  4. ✅ Each job's top bullet addresses job's key requirement
  5. ✅ Keywords from JD appear naturally throughout
  6. ✅ Company/industry terminology is used correctly
  7. ✅ All claims are truthful
  8. ✅ File is named appropriately
  9. ✅ ATS formatting maintained
  10. ✅ Saved for interview prep reference

Output Format

When tailoring a resume, provide:

markdown
# TAILORED RESUME CHANGES

## Target: [Job Title] at [Company]

### Professional Summary
**Before:** [Original]
**After:** [Tailored version]
**Keywords Added:** [List]

### Skills Section
**New Order:** [Reordered list]
**Added:** [New keywords]
**Removed:** [If any, for space]

### Experience Changes

**[Company Name] - [Title]**
- Move bullet X to position 1
- Modify bullet Y: [Before → After]
- Add keyword "[phrase]" to bullet Z

[Repeat for each relevant job]

### Overall Changes Summary
- Keywords added: X
- Bullets modified: Y
- Sections reordered: Yes/No
- Estimated new match score: Z%

Implementation Notes

  • Always start with the job description analyzer
  • Keep tailoring changes documented for interview prep
  • Maintain master resume as source of truth
  • Never sacrifice ATS compatibility for tailoring
  • Test keyword match after tailoring

Frequently asked questions

What does the Resume Tailor AI skill do?

Customize resume for specific job postings while maintaining truthfulness

Why use Resume Tailor on TypingMind?

Because you install it once and use it with any model. Resume Tailor 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 Tailor in TypingMind?

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

Which AI models can use Resume Tailor?

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 Tailor?

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

Is the Resume Tailor 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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