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Agent Skill · 研究检索

resume-optimization(简历优化)

resume-optimization 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

resume-optimization 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 34,799。

总安装 2,182周安装 90GitHub Stars 61下载 713核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:resume-optimization(简历优化)
来源仓库:https://github.com/melodic-software/claude-code-plugins
仓库路径:skills/resume-optimization
安装命令:
npx skills add https://github.com/melodic-software/claude-code-plugins --skill resume-optimization
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/melodic-software/claude-code-plugins --skill resume-optimization

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息,支持基于关键词或任务场景快速定位结果。适用于需要从多来源线索中提取有效信息的场景。通过 npx skills add 命令从指定 GitHub 仓库安装使用。建议确认权限范围和维护状态,避免触发联网或文件读写操作。

resume-optimization 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/resume-optimization

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/melodic-software/claude-code-plugins --skill r…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

resume-optimization 怎么安装?

在终端执行 npx skills add https://github.com/melodic-software/claude-code-plugins --skill resume-opti…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

resume-optimization 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

resume-optimization 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

resume-optimization 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

resume-optimization 用的人多吗?

公开数据是累计安装 2,182 次,近一周安装 90 次,下载 713 次,GitHub 61 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

resume-optimization 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
resume-optimization

简历优化 · 本页

2,18261需要联网MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Resume Optimization

Comprehensive guidance for creating effective software engineering resumes that pass ATS systems and resonate with hiring managers.

When to Use This Skill

  • Reviewing or improving a software engineer's resume
  • Crafting impactful achievement bullets from work experience
  • Optimizing resume content for ATS keyword matching
  • Tailoring a resume for a specific job description
  • Understanding modern resume structure and formatting

Core Principles

The Resume's Purpose

A resume is a marketing document, not a job history. Its purpose is to:

  1. Pass ATS screening (keyword matching)
  2. Capture a recruiter's attention (6-second scan)
  3. Demonstrate value through quantified achievements
  4. Secure an interview opportunity

What Makes Engineering Resumes Different

Software engineering resumes should emphasize:

  • Technical impact: Specific technologies, scale, and performance improvements
  • Business outcomes: Revenue, cost savings, user growth, time savings
  • Leadership signals: Mentoring, cross-team collaboration, technical decisions
  • Quantification: Numbers that demonstrate scope and impact

Resume Structure Quick Reference

Recommended Section Order

  1. Contact Information - Name, email, phone, LinkedIn, GitHub (optional)
  2. Professional Summary (optional) - 2-3 sentences for senior roles
  3. Skills - Technical skills organized by category
  4. Experience - Reverse chronological, 3-5 most relevant roles
  5. Projects (optional) - For junior engineers or career changers
  6. Education - Degrees, certifications, relevant coursework

Length Guidelines

Experience LevelRecommended Length
0-5 years1 page
5-10 years1-2 pages
10+ years2 pages max

Formatting Essentials

  • Font: Clean, readable (Calibri, Arial, Garamond - 10-12pt)
  • Margins: 0.5-1 inch
  • Format: PDF (preserves formatting)
  • File naming: FirstName_LastName_Resume.pdf

Achievement Bullet Formula

Action Verb + Specific Task + Quantifiable Result

[Strong Action Verb] [specific task/project] using [tools/methods], resulting in [quantified outcome].

Strong Action Verbs by Category

CategoryVerbs
TechnicalArchitected, Built, Deployed, Engineered, Implemented, Integrated, Migrated, Optimized, Refactored, Scaled
DesignAnalyzed, Designed, Documented, Modeled, Prototyped, Researched, Specified
LeadershipChampioned, Coached, Led, Mentored, Pioneered, Spearheaded
ImpactAchieved, Boosted, Delivered, Improved, Increased, Reduced, Saved, Streamlined

Quantification Types

  • Time: "Reduced deploy time from 2 hours to 15 minutes"
  • Money: "Saved $50K/year in infrastructure costs"
  • Scale: "Scaled system to handle 1M daily requests"
  • Improvement: "Improved test coverage from 40% to 85%"
  • Frequency: "Reduced support tickets by 70%"

ATS Optimization

What ATS Systems Look For

  1. Keyword matching - Skills, tools, technologies from job description
  2. Job title alignment - Titles that match or relate to the target role
  3. Section structure - Standard sections that ATS can parse
  4. Clean formatting - No tables, columns, graphics, or headers/footers

ATS-Friendly Practices

  • Use standard section headings ("Experience", "Skills", "Education")
  • Include both spelled-out terms AND acronyms ("Continuous Integration (CI)")
  • Mirror exact phrases from job descriptions
  • Avoid images, icons, or non-text elements
  • Use bullet points (-, *, •) not custom symbols

Keyword Extraction Strategy

When tailoring for a job description:

  1. Identify required skills - Listed in "Required" or "Must have" sections
  2. Note preferred skills - Listed in "Nice to have" or "Preferred"
  3. Capture soft skills - Leadership, communication, collaboration terms
  4. Extract action verbs - What the job says you'll "do" or "lead"
  5. Match technologies - Specific tools, languages, frameworks mentioned

Tailoring Strategy

The 80/20 Rule

  • 80% base resume: Core experience and skills that apply broadly
  • 20% customization: Targeted adjustments for each application

What to Customize

  1. Professional Summary - Align with job's key requirements
  2. Skills Section - Reorder to prioritize job's requirements
  3. Achievement Bullets - Emphasize relevant accomplishments
  4. Keywords - Incorporate exact terms from job description

Red Flags to Avoid

  • Generic objective statements ("Seeking a challenging position...")
  • Job duties instead of achievements ("Responsible for...")
  • Unexplained gaps without context
  • Typos or inconsistent formatting
  • Outdated technologies prominently featured

References

For detailed guidance on specific topics:

Related Resources

  • achievement-bullet output style - Format for achievement bullets
  • /soft-skills:track-win skill - Transform descriptions into achievement bullets
  • resume-coach agent - Interactive resume improvement

User-Facing Interface

When invoked directly by the user, this skill tailors a resume for a specific job description.

Execution Workflow

  1. Parse Arguments - Extract job description text or URL from $ARGUMENTS. If URL provided, fetch the job description content. If no arguments, ask the user for the job description.
  2. Extract Keywords - Analyze the job description for required skills, preferred skills, soft skills, action verbs, and specific technologies.
  3. Find Resume - Search for the user's resume in common locations (current directory, docs/, ~/.claude/temp/). If not found, ask the user for the resume location.
  4. Analyze Gaps - Compare resume content against job description keywords. Identify missing keywords, weak achievement bullets, and alignment opportunities.
  5. Generate Tailored Output - Produce:

- Keyword match report (matched vs missing) - Rewritten achievement bullets incorporating job keywords - Suggested skills section reordering - Professional summary tailored to the role - ATS optimization recommendations

  1. Offer to Apply Changes - Ask user if they want changes applied directly to their resume file.

Version History

  • v1.0.0 (2025-12-23): Initial release with core resume optimization guidance

平台分布

Claude Code

29.54%
按下载量换算211

Antigravity

23.19%
按下载量换算165

Codex

18.83%
按下载量换算134

OpenCode

13.05%
按下载量换算93

Cursor

8.5%
按下载量换算61

Gemini CLI

3.83%
按下载量换算27

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

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