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Resume Builder

Community
dabydat
resume-builder

Use this skill whenever the user wants to create, improve, optimize, review, or rewrite a resume, CV, curriculum vitae, or hoja de vida. Triggers include: any mention of 'resume', 'CV', 'curriculum', 'hoja de vida', 'job application', 'ATS optimization', 'resume review', 'cover letter', or requests to prepare documents for job applications. Also use when the user asks to tailor a resume to a specific job description, improve bullet points, add metrics/quantification, check ATS compatibility, translate a resume between languages, or create multiple versions of a resume. Use this skill even if the user just says 'help me get hired', 'optimize my application', 'I need to update my resume', or 'review my experience section'. Do NOT use for LinkedIn profile optimization, portfolio websites, or general document formatting unrelated to job applications.

Overview

Publisherdabydat
Repositoryresume-builder-skill
Skill nameresume-builder
Stars
100
Forks
18
Bundled files
4
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.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Resume Builder 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.
    https://github.com/dabydat/resume-builder-skill/tree/master/skill
  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/dabydat/resume-builder-skill.git /tmp/resume-builder-skill
mkdir -p .claude/skills
cp -r /tmp/resume-builder-skill/skill .claude/skills/resume-builder
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Resume Builder 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 Builder 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 Builder 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 / CV Builder — Harvard Standards & ATS Best Practices

Overview

This skill creates professional, high-standard resumes following Harvard Career Services guidelines, r/EngineeringResumes community best practices, and modern ATS (Applicant Tracking System) knowledge. It produces resumes that are optimized for both human recruiters (who spend 5-20 seconds scanning) and ATS parsing systems.

Before starting any resume work, read the relevant reference files:

  • references/format-and-structure.md — Page layout, fonts, spacing, section ordering
  • references/bullet-writing-guide.md — XYZ/STAR formula, action verbs, quantification
  • references/ats-and-keywords.md — ATS truths vs myths, keyword strategy
  • references/common-mistakes.md — What to avoid, anti-patterns

Quick Decision Framework

User RequestAction
"Create my resume from scratch"Full build: gather info → structure → write → format → deliver
"Improve/optimize my existing resume"Analyze current → identify issues → rewrite bullets → reformat
"Tailor resume to job description"Extract keywords from JD → map to user's experience → rewrite targeted bullets
"Review my resume"Audit against checklist → provide specific feedback with examples
"Create multiple versions"Build base resume → create variants (1-page, 2-page, language versions)
"Make it ATS-friendly"Check format compliance → ensure parseable structure → add relevant keywords naturally

Core Process

Step 1: Gather Information

Before writing anything, collect:

  1. Full work history — titles, companies, locations, dates, AND the domain/industry context of what each company does and what systems the user built
  2. Technical skills — languages, frameworks, databases, tools, cloud, architecture patterns
  3. Education — degrees, institutions, dates
  4. Projects — personal, academic, open source
  5. Target market — US/international (English), LATAM/Spain (Spanish), or both
  6. Target roles — what kind of positions they're applying for
  7. Page preference — 1 page (junior/mid), 2 pages (6+ years senior), or flexible

CRITICAL: Ask about domain context for each role. The difference between "developed web applications" and "developed fintech credit management systems handling card issuance, payment links, and transaction processing" is the difference between a generic and a compelling resume. Always ask:

  • What industry/domain was this? (fintech, legaltech, healthcare, logistics, security, etc.)
  • What kind of data did you handle? (sensitive PII, financial, legal, medical)
  • Who were the end users? (B2B, B2C, internal, government)
  • What was the business impact?

Step 2: Structure the Resume

Follow the section order recommended by Harvard Career Services and r/EngineeringResumes:

1. Name & Contact Information (centered)
2. Technical Skills (for engineering/tech roles — put skills FIRST)
3. Professional Experience (reverse chronological)
4. Projects & Contributions (if relevant)
5. Education (at bottom for experienced professionals)

Why Skills first? For tech roles, recruiters and hiring managers scan for specific technologies. Putting skills at the top gives them what they need in the first 5 seconds. Harvard recommends ordering headings "in order of importance" — for engineers, skills ARE the most important first-scan item.

Education placement: Harvard puts education first for students. For professionals with 3+ years experience, move education to the bottom. The experience section becomes the centerpiece.

Step 3: Write Content

Read references/bullet-writing-guide.md for the complete guide. Key principles:

Every bullet must follow the XYZ formula:

"Accomplished [X] as measured by [Y] by doing [Z]"

Or condensed: Action Verb + What You Did + Technical Context + Business Impact

Example transformation:

  • BAD: "Responsible for developing web applications"
  • GOOD: "Developed fintech web applications for credit management, card issuance, and transaction processing using React and NestJS, structured under Hexagonal Architecture and DDD"

Step 4: Format and Deliver

Read references/format-and-structure.md for the complete guide. Use the docx skill to create the Word document. Key specs:

  • Font: Calibri 10.5pt body, 16pt name, 11.5pt section headings
  • Margins: 0.75 inches all sides
  • Line spacing: 13pt
  • Format: Single column, no tables for layout, no graphics
  • File format: .docx (for editing) AND .pdf (for sending/uploading)

Step 5: Convert to PDF (MANDATORY)

Always deliver both .docx and .pdf versions. The .docx is for future editing; the .pdf is for sending to employers.

PDF conversion rules:

  • Convert using LibreOffice: python scripts/office/soffice.py --headless --convert-to pdf resume.docx
  • Verify the PDF is text-based (not a scanned image) by extracting text: pdftotext resume.pdf - — if text comes out, ATS can parse it
  • Check page count matches expectations: pdfinfo resume.pdf
  • Verify name and key content appear correctly in extracted text (catches truncation or encoding issues)
  • PDF preserves exact formatting regardless of the recipient's operating system, Word version, or installed fonts
  • Both .docx and .pdf are accepted by all modern ATS systems (Greenhouse, Workday, iCIMS, Lever, etc.)

Why PDF matters:

  • .docx can render differently depending on the recipient's Word version, OS, and installed fonts
  • PDF guarantees the recruiter sees EXACTLY what you designed
  • Many job application portals specifically request PDF
  • ATS parses text-based PDFs just as well as .docx

Language Guidelines

For English Resumes

  • Use active voice, no personal pronouns (no "I", "my", "we")
  • Start every bullet with a strong action verb (see reference file)
  • Use US English spelling for US-targeted roles
  • Keep job titles in standard industry format

For Spanish Resumes

  • Maintain the same structure and principles
  • Use professional Spanish — avoid colloquialisms
  • Keep technical terms in English when they're industry standard (e.g., "backend", "frontend", "DevOps", "SOLID", "CQRS")
  • Start bullets with action verbs in Spanish (Desarrolle, Implemente, Lidere, Disene, Construi, Optimice, Arquitecte)

Bilingual Strategy

When creating both versions, ensure they are NOT literal translations. Each version should read naturally in its language while conveying the same information and impact.


Checklist Before Delivery

Run this checklist against every resume before delivering:

Format:

  • Name fits on one line without truncation (max 16pt)
  • Single-column layout, no tables for layout, no graphics/icons
  • Font is Calibri/Arial, minimum 10.5pt body, black color
  • White space is balanced — not too cramped, not too sparse
  • Dates use en dashes (–) not hyphens (-), with spaces around them
  • Dates are right-aligned, bullets don't extend past dates
  • URLs are plain text (no color, no underline, no "Email:" prefixes, no https://www.)

Content:

  • No personal pronouns (I, my, we, our)
  • Every bullet starts with a strong past-tense action verb
  • No bullets end with periods (bullets are not sentences)
  • Every experience describes the DOMAIN (industry, system type, data sensitivity)
  • Metrics/quantification present where possible (use digits: 8, not "eight")
  • Technologies listed per role AND in skills section
  • No superfluous verbs (spearheaded, orchestrated, utilized, leveraged)
  • No excessive adjectives/adverbs (excellent, innovative, strategically)
  • Section names follow standard: "Experience", "Skills", "Projects", "Education"
  • Dates are consistent format with "Present" for current role (not "Current"/"Now")
  • Reverse chronological order within each section
  • No spelling/grammar errors
  • No internal company jargon or project names only insiders would understand

Delivery:

  • PDF version generated from final .docx
  • PDF is text-based (verified with pdftotext — text is extractable)
  • PDF page count matches expectations
  • All hyperlinks work and point to professional pages
  • Both .docx and .pdf delivered to user

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Resume Builder AI skill do?

Use this skill whenever the user wants to create, improve, optimize, review, or rewrite a resume, CV, curriculum vitae, or hoja de vida. Triggers include: any mention of 'resume', 'CV', 'curriculum', 'hoja de vida', 'job application', 'ATS optimization', 'resume review', 'cover letter', or requests to prepare documents for job applications. Also use when the user asks to tailor a resume to a specific job description, improve bullet points, add metrics/quantification, check ATS compatibility, translate a resume between languages, or create multiple versions of a resume. Use this skill even i...

Why use Resume Builder on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dabydat/resume-builder-skill/tree/master/skill. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Resume Builder?

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 Builder?

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

Is the Resume Builder AI skill free?

Yes. It is published on GitHub by dabydat 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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