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Agent Skill · 研究检索

resume-quantifier(恢复量词)

resume-quantifier 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-quantifier 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,权限为权限未标注;许可证信息还不明确,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 67,439。

总安装 245周安装 10GitHub Stars 31下载 78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
unknown

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-quantifier(恢复量词)
来源仓库:https://github.com/ericgandrade/claude-superskills
仓库路径:skills/resume-quantifier
安装命令:
npx skills add https://github.com/ericgandrade/claude-superskills --skill resume-quantifier
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/ericgandrade/claude-superskills --skill resume-quantifier

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。

resume-quantifier 强调用数字量化工作成果以提升简历竞争力。它提供金钱、时间、规模等多类指标模板,增强成就的可衡量性。适用于希望展示具体贡献与影响力的求职者。resume-quantifier 属于研究检索类 Skill,可作为该场景下的辅助能力补充。使用时需确保数据真实准确,避免误导性统计。

建议优先选择与目标岗位最相关的指标进行突出展示。

来源仓库内路径:skills/resume-quantifier

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/ericgandrade/claude-superskills --skill resume…;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

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

resume-quantifier 怎么安装?

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

resume-quantifier 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-quantifier 需要什么权限?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

resume-quantifier 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

resume-quantifier 用的人多吗?

公开数据是累计安装 245 次,近一周安装 10 次,下载 78 次,GitHub 31 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-quantifier 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。
  • 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

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 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-quantifier

恢复量词 · 本页

24531权限未标注未明确通过

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 Quantifier

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"

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%"

Progress Tracking

Display progress before each quantification phase:

[████░░░░░░░░░░░░░░░░] 25% — Phase 1/4: Scanning for Quantification Opportunities
[████████░░░░░░░░░░░░] 50% — Phase 2/4: Estimating Figures from Context
[████████████░░░░░░░░] 75% — Phase 3/4: Adding Metrics to Bullets
[████████████████████] 100% — Phase 4/4: Delivering Quantified Resume

Output Format

When quantifying a resume:

# 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.

平台分布

Codex

35.46%
按下载量换算28

Claude

28.3%
按下载量换算22

Cursor

19.44%
按下载量换算15

Gemini CLI

9.04%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限未标注

当前来源未能明确判断权限范围,默认进入异常复核队列。

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。目前只有一个公开来源,建议同时核对源仓库。

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