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Agent Skill · 待分类

ph-timing-optimizer(ph 时间优化器)

ph-timing-optimizer 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-timing-optimizer 是待分类类 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,按安装量在待分类类的 11,209 个 Skill 里排第 6,332。

总安装 465周安装 19GitHub Stars 10下载 149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-timing-optimizer(ph 时间优化器)
来源仓库:https://github.com/yoanbernabeu/producthunt-skills
仓库路径:skills/ph-timing-optimizer
安装命令:
npx skills add https://github.com/yoanbernabeu/producthunt-skills --skill ph-timing-optimizer
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-timing-optimizer

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

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。通过 npx skills add 命令从 GitHub 仓库安装使用。安装前需确认权限范围、维护状态及是否触发联网或文件操作。

ph-timing-optimizer 属于待分类类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/ph-timing-optimizer

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-tim…;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-timing-optimizer 怎么安装?

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

ph-timing-optimizer 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-timing-optimizer 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-timing-optimizer 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-timing-optimizer 用的人多吗?

公开数据是累计安装 465 次,近一周安装 19 次,下载 149 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-timing-optimizer 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。
  • 需要处理待分类类任务、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。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
ph-timing-optimizer

ph 时间优化器 · 本页

46510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 Timing Optimizer

This skill helps you choose the optimal launch timing based on your goals, available resources, and competitive landscape.

When to Use This Skill

  • Deciding which day of the week to launch
  • Understanding timezone implications
  • Planning for specific audience targeting
  • Balancing competition vs. traffic trade-offs
  • Coordinating global team availability

The Golden Rule

Launch at 12:01 AM Pacific Standard Time (PST)

Product Hunt's daily cycle resets at midnight PST. Launching at 12:01 AM gives you the full 24 hours of visibility.

Timezone Conversions

TimezoneLaunch Time
PST (San Francisco)12:01 AM
EST (New York)3:01 AM
GMT (London)8:01 AM
CET (Paris/Berlin)9:01 AM
IST (Mumbai)1:31 PM
CST (Beijing)4:01 PM
JST (Tokyo)5:01 PM
AEST (Sydney)7:01 PM

Day-by-Day Analysis

WEEKDAYS (Higher Traffic, Higher Competition)

Tuesday

Best For: Maximum exposure, B2B products

  • Traffic Level: ★★★★★
  • Competition: ★★★★★
  • Badge Difficulty: Very Hard
  • Newsletter: Individual daily feature

Pros:

  • Highest overall engagement
  • Decision-makers are active
  • Maximum newsletter exposure

Cons:

  • Brutal competition (often VC-backed products)
  • Requires 600-900+ upvotes for #1
  • Need large support network

Ideal For: Well-funded startups, products with large existing audience


Wednesday

Best For: Serious launches with strong preparation

  • Traffic Level: ★★★★★
  • Competition: ★★★★★
  • Badge Difficulty: Very Hard
  • Newsletter: Individual daily feature

Pros:

  • Peak mid-week attention
  • Strong B2B engagement
  • High-quality comments

Cons:

  • Highest competition day
  • Often 700-1000+ upvotes needed for #1
  • Exhausting for small teams

Ideal For: Products with viral potential, well-prepared teams


Thursday

Best For: Strong launches with slightly less competition

  • Traffic Level: ★★★★☆
  • Competition: ★★★★☆
  • Badge Difficulty: Hard
  • Newsletter: Individual daily feature

Pros:

  • Still high traffic
  • Slightly less competition than Tue/Wed
  • Good B2B engagement

Cons:

  • Still very competitive
  • 600-800+ upvotes often needed for #1

Ideal For: Solid products, teams with good support network


Monday

Best For: Starting the week strong

  • Traffic Level: ★★★★☆
  • Competition: ★★★☆☆
  • Badge Difficulty: Medium-Hard
  • Newsletter: Individual daily feature

Pros:

  • Fresh week, high attention
  • Less competition than mid-week
  • People catching up on new products

Cons:

  • Some decision-makers busy with meetings
  • 500-700 upvotes typically needed for #1

Ideal For: B2B tools, productivity products


Friday

Best For: Balanced approach

  • Traffic Level: ★★★☆☆
  • Competition: ★★★☆☆
  • Badge Difficulty: Medium
  • Newsletter: Grouped in Monday newsletter

Pros:

  • Lower competition
  • More casual browsing
  • 400-600 upvotes can win

Cons:

  • Lower overall traffic
  • Newsletter exposure diluted (grouped with weekend)
  • Some users checked out for weekend

Ideal For: Consumer products, creative tools, side projects


WEEKENDS (Lower Traffic, Easier Badges)

Saturday

Best For: Winning a badge with limited resources

  • Traffic Level: ★★☆☆☆
  • Competition: ★★☆☆☆
  • Badge Difficulty: Easy
  • Newsletter: Grouped in Monday newsletter

Pros:

  • Much lower competition
  • 300-500 upvotes can win #1
  • Indie hackers very active
  • Great for solo makers

Cons:

  • Lower total traffic
  • Less B2B engagement
  • Newsletter grouped (diluted exposure)

Ideal For: Indie projects, MVP validation, first-time launchers


Sunday

Best For: Minimal competition launch

  • Traffic Level: ★★☆☆☆
  • Competition: ★☆☆☆☆
  • Badge Difficulty: Very Easy
  • Newsletter: Grouped in Monday newsletter

Pros:

  • Lowest competition
  • 300-400 upvotes often enough for #1
  • Relaxed community vibe
  • Good for testing

Cons:

  • Lowest traffic
  • Minimal B2B presence
  • Newsletter exposure very diluted

Ideal For: Side projects, experiments, products not needing B2B

Decision Matrix

Choose WEEKDAY (Tue-Thu) if:

  • Primary goal is customer acquisition
  • You have 50+ active supporters ready
  • Product appeals to B2B/enterprise
  • You have team capacity for 24-hour push
  • Marketing budget for promotion
  • Product is polished and market-ready

Choose WEEKEND (Sat-Sun) if:

  • Primary goal is winning a badge
  • Limited support network (<30 people)
  • First Product Hunt launch
  • Solo maker or tiny team
  • MVP seeking validation
  • Consumer/indie product

Choose FRIDAY if:

  • Want balance of traffic and competition
  • Consumer-focused product
  • Creative or fun tool
  • Moderate support network (30-50)

Critical 4-Hour Window

Regardless of day, the first 4 hours after launch are crucial:

Hour 0-1: Aim for 30-50 upvotes

  • Activate your closest supporters
  • Post on social media
  • Send first email wave

Hour 1-2: Aim for 50-100 upvotes

  • Second wave of outreach
  • Respond to all comments
  • Monitor ranking position

Hour 2-4: Aim for 100-200 upvotes

  • Continue engagement
  • Share progress updates
  • Activate next timezone supporters

Why First 4 Hours Matter:

  • Rankings are randomized initially
  • Algorithm watches early momentum
  • Top 3 position attracts organic traffic
  • Most users only see top products

Timing Optimization Checklist

  • Confirmed launch at 12:01 AM PST
  • Calculated timezone for your location
  • Assessed competition for chosen day
  • Verified team availability for first 4 hours
  • Scheduled email/social for optimal times
  • Planned supporter activation by timezone
  • Set up monitoring for launch time

Output Format

TIMING RECOMMENDATION

Selected Day: [Day]
Launch Time: 12:01 AM PST ([Local Time] your timezone)

Rationale:
- Primary goal: [Goal] → [Why this day fits]
- Support network size: [#] → [Sufficient/Needs work]
- Expected competition: [Level]
- Upvote target for Top 5: [#]

Timezone Coverage Plan:
- Wave 1 (Hour 0-1): [Region] supporters
- Wave 2 (Hour 1-2): [Region] supporters
- Wave 3 (Hour 2-4): [Region] supporters

Team Availability:
- [Person]: [Time range] - [Role]
- [Person]: [Time range] - [Role]

平台分布

Codex

36.12%
按下载量换算54

Claude

28.47%
按下载量换算42

Cursor

20.07%
按下载量换算30

Gemini CLI

9.36%
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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