name	resume-writing
description	Write effective resume bullets and content. Use when writing, rewriting, or improving resume bullets, sections, or any resume text. Covers bullet composition, length, word choice, tailoring, keyword placement, and gendered language.

Resume Writing

Why this matters: Clear writing helps employers ascertain ability. An NBER experiment (n ≈ 500k) found better writing = 8% more hires + 10% higher wages, with no drop in employer satisfaction.

Strategic framing: A resume is a pitch document for your future, not a historical record of your past. Every bullet must answer the hiring manager's subconscious question: "Can this person make us money, save us money, or save us time?" When pivoting roles (e.g., engineer to manager), highlight transferable proof like leadership and cross-functional delivery, not the old domain. The goal: look expensive, indispensable, and risk-free.

Bullet composition:

Draw from 7 possible elements: quantitative result, what, how (methods), need, downstream impact, context, industry keyword(s). Pick ≤ 3. Four collapses into jargon.
Every bullet must pass the "So what?" test: strip the business outcome, if the sentence still feels complete, the outcome is missing.
A useful scaffold is XYZ: "Accomplished [X] as measured by [Y], by doing [Z]." Amateur: "Managed the marketing budget." Elite: "Drove a 24% increase in Q3 revenue ($1.2M) by reallocating a $500k budget into high-converting paid social, reducing CAC by 15%."
Never list soft skills (Leadership, Communication, Problem Solving) in a Skills section. Prove them through experience: "Mentored 4 junior developers through weekly code reviews, reducing critical production bugs by 30% over 6 months" proves leadership without naming it.

Bullet priority: The first bullet under each role is your headline. If it bores a recruiter, they stop reading. Lead every role with your biggest, most quantifiable win. Never open with "Responsible for daily operations," open with the time you saved $500k or shipped to 100k users.

Bullet length:

Target 1 line. For 2-line bullets, aim for 1.2-1.8 lines of content.
Below 1.2 orphans a few words onto line 2 (wastes space). Above 1.8 crowds the margins if repeated. If a bullet runs 1.05-1.15 lines, rewrite to fit one line or expand to ~1.5.
Cap each role at 3-5 bullets. If a bullet carries no hard metric, cut it to reclaim white space.

Quantification:

Raw numbers without context feel hollow. Always anchor with a denominator, percentage, or timeframe. Amateur: "Grew user base by 50,000." Elite: "Grew user base by 50,000 (40% YoY increase) within 6 months, outpacing the annual growth target by 15%."
Attach a number to every noun: not "a team" but "a 12-person cross-functional team," not "a budget" but "a $2.5M annual operating budget."
Numbers provide context, context removes hiring risk.

Word choice (ATS data, 10k+ scans): Generic buzzwords actively hurt because ATS systems score them low and recruiters pattern-match them as filler.

Generic buzzwords actively lower your ATS pass rate: "Responsible for" (23% pass), "team player" (28%), "detail-oriented" (35%).
Passive language signals subordination, not ownership: "helped" (33%), "assisted with" (26%), "involved in" (21%).
Vague skill claims trigger 67-72% auto-rejection because they assert without evidence: "problem solver," "strong work ethic," "excellent communication."
Hiring managers (1,600+ surveyed) flag aspirational filler as irritating noise that adds no signal, e.g. "proven," "dedicated," "passionate," "synergy," "go-getter."
Use concrete action verbs that hit 90%+: Led (96%), Increased (94%), Developed (94%), Implemented (93%), Improved (93%), Generated (92%), Designed (91%), Reduced (91%). Quantify when possible (%, users, latency, $).
In tech specifically, vague terms get screened out: "coding" (45%), "programming" (52%), "computer skills" (12%). Use specific technologies and "development" instead.

Tailoring:

Job title match alone yields 10.6x higher interview rate. Mirror the exact job title, required skills, and keywords from the JD.
Emphasize the part of a cross-functional project relevant to the target role, not every discipline.
Weave hard skills into achievement bullets where you used them, not into a Skills dump at the bottom. Amateur: "Built a data pipeline to process transactions" (Python listed separately in Skills). Elite: "Architected a real-time data pipeline using Python and Apache Kafka, processing 2M+ daily transactions with zero latency." ATS parsers and technical hiring managers both reward contextual application over keyword lists.

Keyword placement:

Front-load the strongest keywords. Keywords in the first 50 words get 340% higher ATS scores. Action verbs opening sentences perform 225% better than buried mid-sentence.
When targeting a JD, identify the top 5 hard skills and weave those exact nouns into the opening words of your bullets.
ATS parsers weigh keywords higher near the top of the resume and at the start of lines.

Structure & formatting:

Use standard headers ("Work Experience," "Education," "Skills"), never creative alternatives ("My Journey," "What I've Done").
Consistent date format (e.g., Aug 2021 - Present), never seasons or bare years. ATS cannot calculate months of experience from ambiguous dates.
When promoted within one company, list the company once, stack titles with date ranges underneath to signal rapid growth, not job-hopping.
Cut junior signals: remove Microsoft Office, basic Excel, PowerPoint (expected of any professional). Drop outdated tech unless the JD asks. Cut irrelevant roles that do not support your target narrative, and use that space to expand relevant achievements.
If you include an Interests line, be hyper-specific: "Completed 3 Ironman Triathlons, ranked Top 100 in regional chess" beats "Reading, Traveling, Fitness."

Visual hierarchy:

Recruiters scan in an F-pattern: horizontal across the top, then down the left margin. Left-load metrics and key technologies where eyes naturally go.
Set margins between 0.5-0.75 inches. Leave one blank line before each company header.
White space is not wasted space, it reduces cognitive load and keeps recruiters reading.

Gendered language: Both extremes hurt. Low-power verbs (assisted, helped, supported, served) signal passivity, and overly aggressive masculine-coded language triggers callback penalties for female candidates (3.9% fewer callbacks per deviation, a penalty men don't face). Prefer neutral, results-oriented verbs (Developed, Implemented, Designed, Reduced, Increased, Created) that convey impact without landing on either side of the bias.

name	resume-writing
description	Write effective resume bullets and content. Use when writing, rewriting, or improving resume bullets, sections, or any resume text. Covers bullet composition, length, word choice, tailoring, keyword placement, and gendered language.

Resume Writing

Bullet composition:

Draw from 7 possible elements: quantitative result, what, how (methods), need, downstream impact, context, industry keyword(s). Pick ≤ 3. Four collapses into jargon.
Every bullet must pass the "So what?" test: strip the business outcome, if the sentence still feels complete, the outcome is missing.
A useful scaffold is XYZ: "Accomplished [X] as measured by [Y], by doing [Z]." Amateur: "Managed the marketing budget." Elite: "Drove a 24% increase in Q3 revenue ($1.2M) by reallocating a $500k budget into high-converting paid social, reducing CAC by 15%."
Never list soft skills (Leadership, Communication, Problem Solving) in a Skills section. Prove them through experience: "Mentored 4 junior developers through weekly code reviews, reducing critical production bugs by 30% over 6 months" proves leadership without naming it.

Bullet length:

Target 1 line. For 2-line bullets, aim for 1.2-1.8 lines of content.
Below 1.2 orphans a few words onto line 2 (wastes space). Above 1.8 crowds the margins if repeated. If a bullet runs 1.05-1.15 lines, rewrite to fit one line or expand to ~1.5.
Cap each role at 3-5 bullets. If a bullet carries no hard metric, cut it to reclaim white space.

Quantification:

Raw numbers without context feel hollow. Always anchor with a denominator, percentage, or timeframe. Amateur: "Grew user base by 50,000." Elite: "Grew user base by 50,000 (40% YoY increase) within 6 months, outpacing the annual growth target by 15%."
Attach a number to every noun: not "a team" but "a 12-person cross-functional team," not "a budget" but "a $2.5M annual operating budget."
Numbers provide context, context removes hiring risk.

Word choice (ATS data, 10k+ scans): Generic buzzwords actively hurt because ATS systems score them low and recruiters pattern-match them as filler.

Generic buzzwords actively lower your ATS pass rate: "Responsible for" (23% pass), "team player" (28%), "detail-oriented" (35%).
Passive language signals subordination, not ownership: "helped" (33%), "assisted with" (26%), "involved in" (21%).
Vague skill claims trigger 67-72% auto-rejection because they assert without evidence: "problem solver," "strong work ethic," "excellent communication."
Hiring managers (1,600+ surveyed) flag aspirational filler as irritating noise that adds no signal, e.g. "proven," "dedicated," "passionate," "synergy," "go-getter."
Use concrete action verbs that hit 90%+: Led (96%), Increased (94%), Developed (94%), Implemented (93%), Improved (93%), Generated (92%), Designed (91%), Reduced (91%). Quantify when possible (%, users, latency, $).
In tech specifically, vague terms get screened out: "coding" (45%), "programming" (52%), "computer skills" (12%). Use specific technologies and "development" instead.

Tailoring:

Job title match alone yields 10.6x higher interview rate. Mirror the exact job title, required skills, and keywords from the JD.
Emphasize the part of a cross-functional project relevant to the target role, not every discipline.
Weave hard skills into achievement bullets where you used them, not into a Skills dump at the bottom. Amateur: "Built a data pipeline to process transactions" (Python listed separately in Skills). Elite: "Architected a real-time data pipeline using Python and Apache Kafka, processing 2M+ daily transactions with zero latency." ATS parsers and technical hiring managers both reward contextual application over keyword lists.

Keyword placement:

Front-load the strongest keywords. Keywords in the first 50 words get 340% higher ATS scores. Action verbs opening sentences perform 225% better than buried mid-sentence.
When targeting a JD, identify the top 5 hard skills and weave those exact nouns into the opening words of your bullets.
ATS parsers weigh keywords higher near the top of the resume and at the start of lines.

Structure & formatting:

Use standard headers ("Work Experience," "Education," "Skills"), never creative alternatives ("My Journey," "What I've Done").
Consistent date format (e.g., Aug 2021 - Present), never seasons or bare years. ATS cannot calculate months of experience from ambiguous dates.
When promoted within one company, list the company once, stack titles with date ranges underneath to signal rapid growth, not job-hopping.
Cut junior signals: remove Microsoft Office, basic Excel, PowerPoint (expected of any professional). Drop outdated tech unless the JD asks. Cut irrelevant roles that do not support your target narrative, and use that space to expand relevant achievements.
If you include an Interests line, be hyper-specific: "Completed 3 Ironman Triathlons, ranked Top 100 in regional chess" beats "Reading, Traveling, Fitness."

Visual hierarchy:

Recruiters scan in an F-pattern: horizontal across the top, then down the left margin. Left-load metrics and key technologies where eyes naturally go.
Set margins between 0.5-0.75 inches. Leave one blank line before each company header.
White space is not wasted space, it reduces cognitive load and keeps recruiters reading.

resume-writing

Resume Writing

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このリポジトリの他の Skills

Resume Writing