resume-quantifier Skill for Claude Code: What It Does and How to Install It

Makes your agent find real numbers for resume bullets that have none, and estimate them honestly when you have no exact data.

Installs: 8.7K; on skills.sh
Stars: 3K; on GitHub
Updated: Jun 2026; last repo commit

This skill triggers when you ask to add metrics, quantify or add numbers to a resume, or say you have no data. The agent asks discovery questions about scale, impact and before-and-after, then rewrites each bullet with a number. SKILL.md groups metrics into six kinds: money, time, percentages, volume or scale, quality and frequency.

When you cannot give an exact figure, it offers five estimation methods, including conservative rounding, ranges, "X+" minimums and working backwards from frequency.

Good for

Job seekers whose bullets say "managed" or "improved" without a number
People who think their work cannot be measured
Anyone rewriting a resume bullet by bullet

Install resume-quantifier

Claude Code

Copy this prompt.

Install the resume-quantifier skill in Claude Code. Run this command:

npx skills add Paramchoudhary/ResumeSkills -g -y

Then check that it loaded and tell me how to use it.

2
Paste it into Claude Code. It shows the change and asks before running it.

Requires Node.js.

The README's own command installs the whole ResumeSkills collection (it says 20 skills; the repo tree has 22 skill folders). Use the second command to install only resume-quantifier. The Cursor route copies every skill folder.

From the project README. Source.

What's in the skill

When it loads

Find opportunities to add metrics and estimate numbers when exact data unavailable

Sections in SKILL.md

When to Use This Skill
Core Capabilities
Why Quantification Matters
The Quantification Framework
Categories of Metrics
Finding Hidden Metrics
The Discovery Questions
Role-Specific Metric Discovery
Estimation Techniques
Conservative Estimation
Range Estimation
Minimum Bound
Percentage of Activity
Time-Based Calculation
Quantification Templates
Before and After Template

Key facts

Author: Resume Skills Contributors (named in the repo's .claude-plugin/config.json; repo owner Paramchoudhary)
License: MIT
Installs on skills.sh: 8,715 (Nov 2, 2026)
GitHub stars: 2,985 for the whole paramchoudhary/resumeskills repo (Nov 2, 2026)
Last repo commit: Jun 19, 2026
What it includes: 1 file: SKILL.md
Audits on skills.sh: Gen Agent Trust Hub: pass, Socket: pass, Snyk: pass (Nov 2, 2026)
Works in: The README names Cursor, Claude Code, Windsurf, Codex and Gemini CLI, plus 30+ more agents
Part of: ResumeSkills: the README says 20 skills, and the repo tree has 22 skill folders

What it includes

Asks scale, impact and comparison questions to find hidden numbers
Three groups of questions, one each for scale, impact and before-versus-after.
Try: “I managed customer accounts but I don't have metrics. Help me quantify it.”
Discovery questions
Suggests metrics for sales, marketing, support, operations, engineering, PM and HR
Seven role lists, such as quota attainment for sales or uptime for engineering.
Role-specific metric lists
Conservative, range, minimum bound, percentage of activity and time-based
Five methods, for example 5 clients a week times 50 weeks.
Estimation techniques
Before and after, scale, volume plus impact, and comparison phrasings
Four fill-in-the-blank bullet shapes.
Quantification templates
Five fixes, such as quantifying inputs when you lack business metrics
Covers one person on a team, no metrics access, confidential results and entry-level roles.
"I have no numbers" situations
Outputs a summary, quantified bullets, estimation notes and open questions
Lists bullets with and without numbers, then each original and quantified bullet.
Quantification report
Checks six points per bullet and lists six kinds of numbers to leave out
Includes that you must be able to explain the number in an interview.
Quality checklist and numbers to avoid

From the official docs

Questions

What does resume-quantifier do?

It makes your agent turn vague resume bullets into bullets with numbers. It asks you questions to find the real figures first, and offers estimation methods when you do not have them.

How do I install it?

Use the install box at the top of this page. The README's own command installs all of the ResumeSkills collection, and the skills CLI can install this skill alone.

Does it make up numbers?

It is built to estimate when exact data is missing, using conservative guesses, ranges and "X+" minimums. Its own checklist says each number must be defensible and explainable in an interview, and it lists exaggerated numbers as ones to avoid. Our advice: only keep a number you can back up.

Does it need an API key or any tools?

It bundles no scripts. You answer the agent's questions in the chat.

Is it safe?

It bundles no scripts, so installing it adds one instruction file. The risk is in the output: check every estimated figure before it goes on a resume, and keep confidential numbers out, as SKILL.md itself advises.

How is it different from resume-bullet-writer?

The README describes resume-bullet-writer as turning weak bullets into achievement-focused statements with metrics and impact. It describes resume-quantifier as finding where to add metrics and estimating when numbers are unknown. They are separate skills in the same collection.

Is the "30% more attention" claim in SKILL.md sourced?

SKILL.md says studies show resumes with numbers get 30% more attention and that quantified bullets are 40% more memorable. It names no study, so treat those figures as the author's claim.

Information

updated Nov 2, 2026

Repository: paramchoudhary/resumeskills
Folder: skills/resume-quantifier

paramchoudhary/resumeskills skills.sh

Sources

Docs, issue trackers and discussions this page is built from.

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