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Agent Skill · 开发

ph-conversion-tracking(ph 值转换跟踪)

ph-conversion-tracking 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

ph-conversion-tracking 是开发类 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;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 16,566。

总安装 490周安装 20GitHub Stars 10下载 158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:ph-conversion-tracking(ph 值转换跟踪)
来源仓库:https://github.com/yoanbernabeu/producthunt-skills
仓库路径:skills/ph-conversion-tracking
安装命令:
npx skills add https://github.com/yoanbernabeu/producthunt-skills --skill ph-conversion-tracking
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/yoanbernabeu/producthunt-skills --skill ph-conversion-tracking

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合围绕仓库状态、代码变更或协作事项进行整理。可结合来源仓库、安装命令和原始 README 核验具体用法。安装前建议确认权限范围、维护状态及是否触发联网或文件读写。确保操作不越权且不干扰正常协作流程。

ph-conversion-tracking 属于开发类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/ph-conversion-tracking

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/yoanbernabeu/producthunt-skills --skill ph-con…;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

ph-conversion-tracking 怎么安装?

在终端执行 npx skills add https://github.com/yoanbernabeu/producthunt-skills --skill ph-conversion-tr…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ph-conversion-tracking 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。

ph-conversion-tracking 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。

ph-conversion-tracking 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。

ph-conversion-tracking 用的人多吗?

公开数据是累计安装 490 次,近一周安装 20 次,下载 158 次,GitHub 10 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。

ph-conversion-tracking 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。
  • 需要处理开发类任务、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。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
ph-conversion-tracking

ph 值转换跟踪 · 本页

49010需要联网未明确通过

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

Product Hunt Conversion Tracking

This skill helps you measure the real business impact of your Product Hunt launch through conversion tracking and ROI analysis.

When to Use This Skill

  • Setting up conversion measurement
  • Tracking launch day conversions
  • Analyzing funnel performance
  • Calculating launch ROI
  • Comparing to other acquisition channels

The Conversion Funnel

Standard PH Conversion Path

PRODUCT HUNT
    │
    ├─── Impressions (people who see your listing)
    │         │
    │         ▼ [View Rate]
    ├─── Page Views (people who click)
    │         │
    │         ▼ [Click-through Rate]
    ├─── Website Visitors
    │         │
    │         ▼ [Engagement Rate]
    ├─── Engaged Visitors (>30s, 2+ pages)
    │         │
    │         ▼ [Signup Rate]
    ├─── Signups / Trials
    │         │
    │         ▼ [Activation Rate]
    ├─── Activated Users (reached value)
    │         │
    │         ▼ [Conversion Rate]
    └─── Paying Customers

Key Conversion Points

StageTypical RateWhat It Measures
View → Click15-30%Listing appeal
Click → Visit70-90%Page load, relevance
Visit → Signup5-15%Landing page effectiveness
Signup → Activation30-60%Onboarding quality
Activation → Paid10-30%Product-market fit

Setting Up Conversion Tracking

1. Define Your Conversions

Primary Conversion (Pick One):

  • Signup completed
  • Trial started
  • Purchase made
  • App installed

Secondary Conversions:

  • Email collected
  • Demo booked
  • Free tier activated
  • Feature used

2. Technical Implementation

Google Analytics 4 Events:

// Signup conversion
gtag('event', 'generate_lead', {
  'event_category': 'signup',
  'event_label': 'producthunt',
  'value': 0
});

// Purchase conversion
gtag('event', 'purchase', {
  'transaction_id': 'T_12345',
  'value': 99.00,
  'currency': 'USD',
  'items': [{
    'item_name': 'Pro Plan',
    'price': 99.00
  }]
});

Server-Side Tracking:

# When signup occurs
def track_signup(user, source):
    analytics.track(user.id, 'Signed Up', {
        'source': source,  # 'producthunt'
        'plan': user.plan,
        'timestamp': datetime.now()
    })

3. Attribution Setup

First-Touch Attribution:

  • Capture source on first visit
  • Store in cookie/database
  • Associate with eventual conversion

UTM Tracking:

https://yoursite.com?utm_source=producthunt&utm_medium=launch&utm_campaign=jan2024

Referrer Tracking:

// Capture referrer on page load
if (document.referrer.includes('producthunt.com')) {
  localStorage.setItem('acquisition_source', 'producthunt');
}

Measuring Conversions

Real-Time Tracking (Launch Day)

Hourly Log Template:

HourPH VisitorsSignupsConv RateRevenue
00:004536.7%$0
01:008977.9%$99
02:006757.5%$0
...
Total

Conversion Rate Calculations

Visitor to Signup Rate:

Signup Rate = (Signups / PH Visitors) × 100

Example: 156 signups / 1,234 visitors = 12.6%

Trial to Paid Rate:

Conversion Rate = (Paid / Trials) × 100

Example: 23 paid / 156 trials = 14.7%

Revenue per Visitor:

RPV = Total Revenue / Total Visitors

Example: $2,277 / 1,234 = $1.85 per visitor

Funnel Analysis

Identifying Drop-Offs

Funnel Visualization:

PH Page Views:     2,500 (100%)
                      │
                      ▼ 49% continue
Website Visits:    1,234 (49%)
                      │
                      ▼ 38% continue
Engaged (>30s):      469 (19%)
                      │
                      ▼ 33% continue
Signup Started:      156 (6.2%)
                      │
                      ▼ 90% complete
Signup Done:         140 (5.6%)
                      │
                      ▼ 16% convert
Paid:                 23 (0.9%)

Drop-Off Analysis:

  • PH → Site: 51% drop → Is listing compelling?
  • Site → Engaged: 62% drop → Is landing page relevant?
  • Engaged → Signup: 67% drop → Is CTA clear?
  • Signup → Complete: 10% drop → Is form too long?
  • Complete → Paid: 84% drop → Is value delivered?

Optimization Opportunities

For each drop-off point:

  1. High Drop-Off? → Investigate why
  2. Identify Pattern → What's different about converters?
  3. Hypothesis → What change might help?
  4. Test → A/B test the change
  5. Measure → Did conversion improve?

ROI Calculation

Basic ROI Formula

Launch ROI = (Revenue Generated - Costs) / Costs × 100

Comprehensive ROI Analysis

Revenue Side:

Immediate Revenue:
- Direct purchases: $2,277

Projected Revenue (LTV-based):
- 23 customers × $480 LTV = $11,040

Total Value: $13,317

Cost Side:

Time Investment:
- Preparation: 40 hours × $100/hr = $4,000
- Launch day: 16 hours × $100/hr = $1,600
- Follow-up: 8 hours × $100/hr = $800

Direct Costs:
- Design assets: $500
- Tools/subscriptions: $100
- Promotional offer cost: $300

Total Costs: $7,300

ROI Calculation:

ROI = ($13,317 - $7,300) / $7,300 × 100 = 82.4%

Customer Acquisition Cost

CAC from PH = Total Launch Costs / Customers Acquired
            = $7,300 / 23
            = $317.39 per customer

Compare to Other Channels:

ChannelCACQuality
Product Hunt$317High
Google Ads$150Medium
Content Marketing$200High
Cold Outreach$500Low

Cohort Analysis

PH Users vs Other Sources

Track these metrics by acquisition source:

MetricPH UsersOrganicPaid Ads
Activation Rate45%38%28%
Day 7 Retention35%32%22%
Day 30 Retention25%24%15%
Upgrade Rate18%12%8%
Avg LTV$520$380$240

What This Tells You

  • PH users often higher quality
  • Worth the launch investment?
  • Should you launch again?

Benchmarks & Goals

Industry Benchmarks

B2B SaaS from PH:

MetricLowAverageHigh
Visit → Trial3%8%15%
Trial → Paid10%18%30%
Launch Revenue$500$3,000$15,000+

Consumer Apps from PH:

MetricLowAverageHigh
Visit → Signup5%15%30%
Signup → Active20%40%60%
Launch Downloads2001,0005,000+

Setting Your Goals

PRE-LAUNCH CONVERSION GOALS

Visitors (from PH): [Target]
↓ [Target]% conversion
Signups: [Target]
↓ [Target]% conversion
Trials: [Target]
↓ [Target]% conversion
Paid: [Target]
↓ $[Avg Price]
Revenue: $[Target]

Post-Launch Conversion Analysis

Analysis Template

CONVERSION ANALYSIS: [Product Name]
Launch Date: [Date]

FUNNEL SUMMARY:
PH Views → Site: [X] ([Y]%)
Site → Signup: [X] ([Y]%)
Signup → Paid: [X] ([Y]%)

KEY METRICS:
Total PH Visitors: [X]
Total Signups: [X]
Signup Rate: [X]%
Total Paid: [X]
Conversion Rate: [X]%

REVENUE:
Immediate: $[X]
Projected LTV: $[X]
Total Value: $[X]

COSTS:
Time: $[X]
Direct: $[X]
Total: $[X]

ROI: [X]%
CAC: $[X]

COMPARED TO GOALS:
Visitors: [Actual] vs [Goal] ([Over/Under])
Signups: [Actual] vs [Goal] ([Over/Under])
Revenue: [Actual] vs [Goal] ([Over/Under])

INSIGHTS:
- [Key learning 1]
- [Key learning 2]
- [Key learning 3]

OPTIMIZATION PRIORITIES:
1. [Biggest drop-off to fix]
2. [Second priority]
3. [Third priority]

Conversion Tracking Checklist

Setup Phase

  • Primary conversion defined
  • Tracking code implemented
  • Attribution model set
  • Goals configured in analytics
  • Test conversions verified

Launch Day

  • Real-time tracking active
  • Hourly logging in progress
  • Conversion alerts working
  • No tracking issues

Post-Launch

  • All conversions captured
  • Funnel analyzed
  • ROI calculated
  • Cohort analysis done
  • Learnings documented

Output Format

CONVERSION REPORT: [Product Name]

EXECUTIVE SUMMARY:
Launch Date: [Date]
Total Visitors: [X]
Total Conversions: [X]
Conversion Rate: [X]%
Revenue: $[X]
ROI: [X]%

FUNNEL BREAKDOWN:
[Step 1] → [Step 2]: [X]%
[Step 2] → [Step 3]: [X]%
[Step 3] → [Step 4]: [X]%

BIGGEST DROP-OFF: [Step] ([X]% loss)
RECOMMENDATION: [Action to improve]

COMPARISON TO BENCHMARKS:
[Metric]: [Actual] vs [Benchmark] - [Status]

NEXT STEPS:
1. [Priority action]
2. [Secondary action]
3. [Tertiary action]

平台分布

Codex

32.79%
按下载量换算52

Claude

29.67%
按下载量换算47

Cursor

19.67%
按下载量换算31

Gemini CLI

8.78%
按下载量换算14

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。目前只有一个公开来源,建议同时核对源仓库。

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