resume-bullet-writer

resume-bullet-writer is a skill for Claude Code, Codex from Paramchoudhary/ResumeSkills. It costs 18 tokens per session (3,442 once invoked), scanned A, original, MIT.

A guide for rewriting resume bullet points so they describe achievements and results instead of only listing duties. It uses structured writing methods and measurable outcomes when the source material supports them.

In plain words
What is it for?
Use it to improve existing resume bullets, add relevant metrics, choose stronger action words, and tailor experience to a role or industry.
Why use it?
Vague bullets make it hard for employers to see what you accomplished. This guide turns weak descriptions into clearer statements about actions, results, and impact.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to improve existing resume bullets, add relevant metrics, choose stronger action words, and tailor experience to a role or industry.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/paramchoudhary/resumeskills/resume-bullet-writer
About the project

ResumeSkills is a collection of AI-agent skills for improving resumes, preparing job applications, practicing interviews, and planning career moves. It is intended for job seekers, career changers, and professionals using Claude Code for tasks such as ATS checks, job-description matching, resume tailoring, and salary negotiation. The catalogue entry consists of the project's career-focused skills.

Paramchoudhary/ResumeSkills · 2,220 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Paramchoudhary/ResumeSkills --skill resume-bullet-writer
Clone the repo
git clone --depth 1 https://github.com/Paramchoudhary/ResumeSkills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for resume-bullet-writer

README.md
[![agentmods](https://agentmods.dev/badge/skills/paramchoudhary/resumeskills/resume-bullet-writer/github.svg)](https://agentmods.dev/skills/paramchoudhary/resumeskills/resume-bullet-writer)
Your own site
<a href="https://agentmods.dev/skills/paramchoudhary/resumeskills/resume-bullet-writer"><img src="https://agentmods.dev/badge/skills/paramchoudhary/resumeskills/resume-bullet-writer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for resume-bullet-writer

Your own site · 80×15
<a href="https://agentmods.dev/skills/paramchoudhary/resumeskills/resume-bullet-writer"><img src="https://agentmods.dev/badge/skills/paramchoudhary/resumeskills/resume-bullet-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,442 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 22 May 2026
  • Snyk pass 22 May 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00018 $0.03442
Opus 5 $0.00009 $0.01721
Sonnet 5 $0.00004 $0.00688
Haiku 4.5 $0.00002 $0.00344

Measured 11d ago against content hash 49ea6a533a72, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

resume-bullet-writer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

skills/resume-bullet-writer/SKILL.md · 438 lines

How it starts

The opening of the file, as written. The whole thing — 438 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Resume Bullet Writer

When to Use This Skill

Use this skill when the user wants to:

  • Write or improve resume bullet points
  • Transform weak descriptions into strong achievements
  • Add metrics and quantifiable results
  • Make their experience more compelling
  • Mentions: "improve my bullets", "make my resume stronger", "quantify my achievements", "results-driven"

Also use when you see weak bullets that need improvement (passive language, no metrics, vague descriptions).

Core Capabilities

  • Transform weak bullet points into achievement-focused statements
  • Apply STAR method and X-Y-Z formula
  • Add quantifiable metrics and results
  • Use strong action verbs
  • Tailor bullets to specific roles/industries
  • Ensure every bullet shows impact, not just duties

The Bullet Point Problem

Most resumes have weak bullets that list job duties instead of achievements:

Weak Bullets (What NOT to do):

  • "Responsible for managing team"
  • "Helped with customer service"
  • "Worked on improving processes"
  • "Assisted with projects"

These are passive, vague, and don't show impact or results.

Strong Bullets (What TO do):

  • "Led cross-functional team of 12 to deliver $2M product, increasing revenue by 35%"
  • "Resolved 50+ customer issues daily, improving satisfaction scores from 3.2 to 4.8/5"
  • "Streamlined approval process, reducing cycle time by 40% (from 10 to 6 days)"
  • "Managed portfolio of 8 concurrent projects with 100% on-time delivery rate"

These are active, specific, and quantify the impact.

Core Frameworks

1. The X-Y-Z Formula (Google Method)

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

  • X = What you achieved
  • Y = How you measured it
  • Z = What actions you took

Examples:

❌ BEFORE: "Managed social media accounts"

✅ AFTER: "Grew Instagram following by 250% (5K to 17.5K) by implementing daily content calendar and influencer partnerships"

X = Grew Instagram following by 250%
Y = 5K to 17.5K followers
Z = Daily content calendar + influencer partnerships

Read the full file on GitHub · 438 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 438 lines · 18 tokens per session scan A 49ea6a533a72

Subscribe to this mod's changes

resume-bullet-writer is a skill published in the GitHub repository Paramchoudhary/ResumeSkills (2,220 stars, last pushed 2mo ago), licensed MIT. It adds 18 tokens to every session and 3,442 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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