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Agent skill

Resume Quantifier

by davila7 in davila7/claude-code-templates

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

MITAuto-check passedBusiness, Finance & HR

Install Resume Quantifier

skills CLI
$ npx skills add davila7/claude-code-templates --skill resume-quantifier -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install davila7/claude-code-templates resume-quantifier --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/davila7/claude-code-templates.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cli-tool/components/skills/career/resume-quantifier .claude/skills/resume-quantifier && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
resume-quantifier
GitHub stars
32k
Used in
2 other repos
Token cost
~2.1k tokens
SKILL.md length
841 words
Files
1
Skills in repo
477
Repo updated
First seen
Licence
MIT

At a glance

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

  • The user wants to quantify achievements
  • SKILL.md covers When to Use This Skill, Core Capabilities, Why Quantification Matters and The Quantification Framework, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Impact metrics to a resume

What it does

Resume Quantifier is an agent skill from davila7/claude-code-templates. Find opportunities to add metrics and estimate numbers when exact data is unavailable. Use when the user wants to quantify achievements, add numbers, percentages, or impact metrics to a resume.

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR. The repository describes itself as: CLI tool for configuring and monitoring Claude Code. The licence is MIT.

When your agent uses it

  • The user wants to quantify achievements
  • Impact metrics to a resume

Example prompts

  • “/resume-quantifier”

What it can do on your machine

Read from SKILL.md and the folder at commit 14680ec. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Resume Quantifier loads about 2.1k tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 841 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~53
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from davila7/claude-code-templates at commit 14680ec, republished under its MIT licence (© davila7). 841 words, ~2,127 tokens.

Download SKILL.mdSave it as .claude/skills/resume-quantifier/SKILL.md (or your agent's skills folder).
name
resume-quantifier
description
Find opportunities to add metrics and estimate numbers when exact data is unavailable. Use when the user wants to quantify achievements, add numbers, percentages, or impact metrics to a resume.

Resume Quantifier

When to Use This Skill

Use this skill when the user:

  • Needs to add metrics and numbers to their resume
  • Has bullets without quantifiable results
  • Doesn't know what numbers to include
  • Says they "don't have metrics" or "can't measure impact"
  • Mentions: "add metrics", "quantify", "add numbers", "measure impact", "no data"

Core Capabilities

  • Find hidden metrics in any experience
  • Estimate numbers when exact data unavailable
  • Create before/after comparisons
  • Identify measurable impact points
  • Transform vague statements into quantified achievements
  • Guide users to discover their metrics

Why Quantification Matters

The Problem:

  • "Managed projects" vs "Managed 12 projects worth $2M"
  • "Improved processes" vs "Reduced cycle time by 40%"
  • "Helped customers" vs "Resolved 50+ tickets daily with 98% satisfaction"

Studies Show:

  • Resumes with numbers get 30% more attention
  • Quantified bullets are 40% more memorable
  • Numbers provide credibility and scale

The Quantification Framework

Categories of Metrics

1. Money

  • Revenue generated
  • Costs reduced/saved
  • Budget managed
  • Deal sizes closed
  • Profit margins improved

2. Time

  • Hours saved
  • Cycle time reduced
  • Project duration
  • Response times
  • Time to market

3. Percentages

  • Growth rates
  • Improvement percentages
  • Efficiency gains
  • Error reduction
  • Conversion rates

4. Volume/Scale

  • Number of customers/users
  • Projects managed
  • Team size
  • Transactions processed
  • Items produced

5. Quality

  • Satisfaction scores
  • Error rates
  • Accuracy rates
  • Compliance rates
  • SLA adherence

6. Frequency

  • Per day/week/month
  • Annual totals
  • Meeting cadences
  • Report cycles

Finding Hidden Metrics

The Discovery Questions

For any experience, ask:

Scale Questions:

  • How many people/projects/customers?
  • What was the budget/revenue involved?
  • How large was the team?
  • How many locations/regions?

Impact Questions:

  • What changed because of your work?
  • What would have happened without you?
  • What problems did you solve?
  • What got better/faster/cheaper?

Comparison Questions:

  • How was it before vs. after?
  • How did you compare to others/previous results?
  • What was the baseline you improved?
Role-Specific Metric Discovery

Sales:

  • Quota attainment percentage
  • Revenue generated
  • Number of deals closed
  • Average deal size
  • Pipeline generated
  • New accounts acquired
  • Retention rate

Marketing:

  • Leads generated
  • Campaign ROI
  • Engagement rates
  • Follower growth
  • Website traffic increase
  • Conversion rates
  • Brand awareness metrics

Customer Service:

  • Tickets resolved per day
  • Customer satisfaction score
  • Average response time
  • First call resolution rate
  • NPS score contribution

Operations:

  • Efficiency improvements
  • Cost reductions
  • Process cycle times
  • Error rate reductions
  • Throughput increases

Engineering:

  • System uptime
  • Performance improvements
  • Bug resolution rate
  • Deployment frequency
  • Code coverage

Project Management:

  • Number of projects
  • Budget sizes
  • Team sizes
  • On-time delivery rate
  • Stakeholders managed

HR/Admin:

  • Hiring numbers
  • Time to fill
  • Employee satisfaction scores
  • Training completion rates
  • Onboarding efficiency

Estimation Techniques

When you don't have exact numbers:

Conservative Estimation

Principle: Estimate low to maintain credibility

Example:

  • You think you saved 100 hours/month → say "75+ hours"
  • You think growth was 50% → say "~40%"
  • You think you served 500 customers → say "400+"
Range Estimation

Format: "X-Y" or "X to Y"

Examples:

  • "Managed team of 8-12"
  • "Generated $100K-$150K in revenue"
  • "Saved 20-30 hours weekly"
Minimum Bound

Format: "X+" or "at least X"

Examples:

  • "Served 100+ customers daily"
  • "Managed at least 15 concurrent projects"
  • "Generated $500K+ in annual revenue"
Percentage of Activity

Format: Calculate from known totals

Example:

  • Company had 1000 customers → You managed 20% → "Managed 200 customer accounts"
  • Team had 10 people → You supervised 4 → "Supervised 40% of team"
Show full SKILL.md (324 more words)Show less
Time-Based Calculation

Format: Work backwards from frequency

Example:

  • Met with 5 clients/week × 50 weeks = "Consulted with 250+ clients annually"
  • Processed 30 invoices/day × 250 days = "Processed 7,500+ invoices annually"

Quantification Templates

Before and After Template
"Improved [X] from [before number] to [after number], resulting in [Y]% improvement"

Example:
"Improved page load time from 8 seconds to 2 seconds, resulting in 75% reduction and 20% increase in user engagement"
Scale Template
"[Verb] [number] [things], resulting in [impact]"

Example:
"Managed 25 concurrent projects worth $3M, delivering 95% on-time with zero budget overruns"
Volume + Impact Template
"Processed [number] [items] per [time period], achieving [quality metric]"

Example:
"Resolved 50+ customer tickets daily, maintaining 98% satisfaction rating and 4-hour average response time"
Comparison Template
"Ranked #[X] out of [Y] in [metric], [context]"

Example:
"Ranked #2 out of 45 sales representatives nationally, generating $3.2M in annual revenue"

Common "I Have No Numbers" Situations

Situation 1: "I was just one person on a team"

Solution: Focus on YOUR contribution

Example:

  • "Part of team that launched product" →
  • "Contributed 40% of front-end code for product launch reaching 100K users"
Situation 2: "I don't have access to business metrics"

Solution: Quantify activities and inputs

Example:

  • "Supported sales team" →
  • "Created 50+ sales presentations and managed pipeline of 200+ prospects in Salesforce"
Situation 3: "My job didn't produce measurable outcomes"

Solution: Measure the work itself

Example:

  • "Wrote documentation" →
  • "Produced 75-page technical documentation reducing new hire onboarding time by 2 weeks"
Situation 4: "Results were confidential"

Solution: Use percentages or ranges

Example:

  • "Increased revenue" →
  • "Grew revenue by 40%+ year-over-year" or "Contributed to $X-$Y million growth"
Situation 5: "I was entry-level with limited impact"

Solution: Quantify learning, throughput, accuracy

Example:

  • "Entered data" →
  • "Processed 200+ records daily with 99.5% accuracy rate, exceeding team average by 15%"

Output Format

When quantifying a resume:

markdown
# RESUME QUANTIFICATION

## Analysis Summary
**Bullets without numbers:** X
**Bullets with numbers:** Y
**Target:** 100% of bullets should have at least one metric

## Quantified Bullets

### Original Bullet #1:
"Managed customer accounts"

### Questions to Find Metrics:
- How many accounts? → [User answer: ~40]
- What was the revenue? → [User answer: ~$2M]
- What results did you achieve? → [User answer: retained most]

### Quantified Version:
"Managed portfolio of 40 enterprise accounts representing $2M ARR, achieving 95% retention rate"

### Metrics Added:
- Account count: 40
- Revenue: $2M ARR
- Retention: 95%

---

### Original Bullet #2:
[Continue for each bullet]

## Estimation Notes
- [Metric]: Estimated based on [reasoning]
- [Metric]: Conservative estimate using [method]

## Remaining Questions
- [Questions to ask user for missing information]

Quantification Quality Checklist

For each bullet:

  • ✅ Has at least ONE number
  • ✅ Number is relevant (not just any number)
  • ✅ Scale is clear (what does the number mean?)
  • ✅ Estimation is conservative and defensible
  • ✅ Number adds credibility, not confusion
  • ✅ You can explain the number in an interview

Numbers to Avoid

  • ❌ Numbers that make you look bad
  • ❌ Numbers you can't explain or defend
  • ❌ Numbers that reveal confidential information
  • ❌ Exaggerated or inflated numbers
  • ❌ Numbers without context (e.g., "increased by 300%" without baseline)
  • ❌ Too many numbers in one bullet (2-3 max)

Key Principle

Every bullet can be quantified. If you think your work can't be measured, you haven't asked the right questions yet.

The goal isn't to have impressive numbers—it's to have SPECIFIC numbers that show the scope and impact of your work.

© davila7, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in cli-tool/components/skills/career/resume-quantifier of davila7/claude-code-templates.

Open the folder on GitHubat commit 14680ec

Used in 2 other repositories

We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in davila7/claude-code-templates, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Resume Quantifier next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Resume Quantifier compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Resume Quantifier this skilldavila7/claude-code-templates32k2 repos~2.1kAutomated safety check: PassMIT
Technical Analysttradermonty/claude-trading-skills3k5 repos~4.6kAutomated safety check: PassMIT
Creating Financial ModelsChen-zexi/open-ptc-agent7294 repos~1.3kAutomated safety check: PassMIT
Stock APIzhangxiangliang/stock-api2k—~507Automated safety check: PassMIT
Theme Detectortradermonty/claude-trading-skills3k2 repos~4.9kAutomated safety check: PassMIT
Itr Walakaranb192/itr-wala871—~3.6kAutomated safety check: PassMIT

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Categories

Questions about Resume Quantifier

What does Resume Quantifier do?

Find opportunities to add metrics and estimate numbers when exact data is unavailable. Resume Quantifier is an agent skill from davila7/claude-code-templates. Find opportunities to add metrics and estimate numbers when exact data is unavailable.

When should I use Resume Quantifier?

Resume Quantifier fits situations like: the user wants to quantify achievements; impact metrics to a resume.

How do I install Resume Quantifier in Claude Code?

Run `npx skills add davila7/claude-code-templates --skill resume-quantifier -a claude-code`. Or copy the skill folder (cli-tool/components/skills/career/resume-quantifier in davila7/claude-code-templates) into .claude/skills/resume-quantifier in your project. Claude Code loads it when a task matches its description.

How do I install Resume Quantifier in Codex?

Run `npx skills add davila7/claude-code-templates --skill resume-quantifier -a codex`. Or copy the skill folder (cli-tool/components/skills/career/resume-quantifier in davila7/claude-code-templates) into .agents/skills/resume-quantifier in your project. Codex loads it when a task matches its description.

Can I use Resume Quantifier in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add davila7/claude-code-templates --skill resume-quantifier -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/resume-quantifier, .gemini/skills/resume-quantifier, .github/skills/resume-quantifier and .opencode/skills/resume-quantifier in your project.

What does Resume Quantifier need to run?

SKILL.md names no scripts, command-line tools or credentials: Resume Quantifier is instructions for the agent only.

Does Resume Quantifier access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Resume Quantifier safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Resume Quantifier use?

Resume Quantifier is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Resume Quantifier use?

About 2.1k tokens (SKILL.md is roughly 8.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Resume Quantifier?

Skills that share tags, products or a category with Resume Quantifier: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars), Stock API (zhangxiangliang/stock-api, 2k stars) and Theme Detector (tradermonty/claude-trading-skills, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Resume Quantifier?

davila7 (a GitHub user) maintains it in davila7/claude-code-templates, which has 32,463 GitHub stars. The repository holds 477 skills in this directory. The repository was last updated on October 8, 2026.

Source: davila7/claude-code-templates on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.