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Tailor Resume

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andrew-shwetzer
tailor-resume

Generate an ATS-optimized resume tailored to a specific job posting. Creates clean HTML you can print to PDF. Works for any industry. Use when someone says 'tailor my resume', 'make me a resume', 'create a resume for', or 'update my resume for'.

Overview

Publisherandrew-shwetzer
Repositorycareer-ops-plugin-do-not-fork-currently-updating-v2-
Skill nametailor-resume
Stars
503
Forks
105
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 andrew-shwetzer on GitHub. Read the source before you install it.

Installation

Install the Tailor Resume 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/andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-/tree/main/skills/tailor-resume
  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/andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-.git /tmp/career-ops-plugin-do-not-fork-currently-updating-v2-
mkdir -p .claude/skills
cp -r /tmp/career-ops-plugin-do-not-fork-currently-updating-v2-/skills/tailor-resume .claude/skills/tailor-resume
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tailor Resume 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 Tailor Resume 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 Tailor Resume 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.

Tailor Your Resume

Generate an ATS-optimized resume customized for a specific job posting. Read references/ats-rules.md before generating any HTML.

Step 0: Load Context

  1. Read data/profile.yml for structured background data
  2. Read data/resume.md if it exists (full resume text for detail)
  3. Find the target evaluation:
    • If the user specified a company/role, search data/evaluations/ for a match
    • If "latest" or no argument, use the most recent evaluation file
    • If ambiguous, list recent evaluations and ask which one
  4. If no evaluation exists:

    "I need to evaluate the job first so I know what to emphasize. Paste the job posting and I'll assess it, then generate your resume."

Step 1: Keyword Extraction

From the evaluation + JD, extract 15-20 keywords that ATS systems scan for:

  • Exact phrases from "Required Qualifications" (highest priority)
  • Industry-standard terms (not creative synonyms)
  • Certifications, tools, methodologies named in the JD
  • Action verbs that match the responsibilities section

Step 2: Detect Language & Locale

  • JD in English + US company: Letter paper (8.5" x 11")
  • JD in English + non-US: A4
  • JD in another language: match that language, use A4
  • Resume language MUST match JD language

Step 3: Build Resume Content

Using the evaluation's Block E (Tailoring Plan) as a guide, construct each resume section from profile data:

Professional Summary (3-4 lines)

  • Open with years of experience + core identity
  • Include 3-5 top keywords from the JD naturally
  • End with a forward-looking statement connecting to this specific role
  • Use the narrative.headline from profile as a starting point

Experience Section

  • Include all roles from work_history, most relevant FIRST
  • For each role: Company, Title, Dates on one line
  • 3-5 bullets per role, ordered by relevance to THIS JD
  • Each bullet: Action verb + what you did + quantified result
  • Mirror JD language exactly (if JD says "project management", write "project management", not "programme management")
  • Pull specific numbers from proof_points and work_history highlights

Education Section

  • Degree, School, Year
  • Include relevant coursework or honors only if recent grad

Skills Section

  • List JD keywords FIRST, then additional skills
  • Group by category if 10+ skills (Technical, Tools, Methodologies, etc.)
  • Include both acronym and full form: "Search Engine Optimization (SEO)"

Certifications Section (if applicable)

  • From credentials in profile
  • Include status, jurisdiction, number if relevant

Projects / Portfolio (if applicable and relevant)

  • Only include if the archetype values it (Creative, Technology)
  • Brief description + link + key metric

Step 4: Generate HTML

Read the template from references/resume-template.html.

Fill all {{PLACEHOLDER}} slots with the generated content.

ATS compliance rules (from references/ats-rules.md):

  • Single column ONLY
  • Standard section headers exactly: "Experience", "Education", "Skills"
  • No images, icons, or graphics
  • All text selectable (no text-in-images)
  • Standard fonts: Arial, Calibri, Georgia, or system sans-serif
  • Font size: 10-12pt body, 14-16pt name
  • Margins: 0.5-1 inch
  • No headers/footers (ATS strips them)
  • Max 2 pages

Step 5: Output

Write the HTML to data/resumes/{company-slug}-{role-slug}.html.

Show the user a preview of the content (not the HTML code):

## Resume Preview: {Name} - {Target Role} at {Company}

**Summary:** {first 2 lines}

**Experience:**
- {Role 1} at {Company} ({dates}) - {first bullet}
- {Role 2} at {Company} ({dates}) - {first bullet}

**Skills:** {top 10}

**Keywords matched:** {n}/20 from the JD

Step 6: PDF Instructions

"Your tailored resume is saved at data/resumes/{filename}.html.

To save as PDF:

  1. Open the file in your browser (double-click it)
  2. Press Cmd+P (Mac) or Ctrl+P (Windows)
  3. Select Save as PDF
  4. Done!

The HTML is designed to print cleanly. What you see is what you get."

Step 7: Update Tracker

Update the matching row in data/applications.md:

  • Status: "Resume Ready" (if currently "Evaluated")
  • Notes: append "Resume: {filename}"

Step 8: Next Steps

"Resume is ready! Next steps:

  • Review it by opening the HTML file
  • Apply by saying 'help me with the {company} application'
  • Compare this role with others: 'compare my options'"

Frequently asked questions

What does the Tailor Resume AI skill do?

Generate an ATS-optimized resume tailored to a specific job posting. Creates clean HTML you can print to PDF. Works for any industry. Use when someone says 'tailor my resume', 'make me a resume', 'create a resume for', or 'update my resume for'.

Why use Tailor Resume on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-/tree/main/skills/tailor-resume. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Tailor Resume?

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 Tailor Resume?

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

Is the Tailor Resume AI skill free?

Yes. It is published on GitHub by andrew-shwetzer 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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