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Agent Skill · 待分类

publishing-timing(发布时间)

publishing-timing 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。

publishing-timing 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;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 2,330。

总安装 1,672周安装 67GitHub Stars 142下载 541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:publishing-timing(发布时间)
来源仓库:https://github.com/vivy-yi/xiaohongshu-skills
仓库路径:skills/publishing-timing
安装命令:
npx skills add https://github.com/vivy-yi/xiaohongshu-skills --skill publishing-timing
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/vivy-yi/xiaohongshu-skills --skill publishing-timing

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。适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。通过 npx skills add 命令从指定 GitHub 仓库安装使用。

建议确认权限范围和维护状态,注意可能触发联网、命令执行或文件读写操作。publishing-timing 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/publishing-timing

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/vivy-yi/xiaohongshu-skills --skill publishing-…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

publishing-timing 怎么安装?

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

publishing-timing 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。

publishing-timing 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

publishing-timing 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。

publishing-timing 用的人多吗?

公开数据是累计安装 1,672 次,近一周安装 67 次,下载 541 次,GitHub 142 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。

publishing-timing 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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 只想先试试效果、不希望它改动本地文件的人。

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
publishing-timing

发布时间 · 本页

1,672142只读未明确通过

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

Publishing Timing (发布时机)

Overview

Publishing timing is the strategic scheduling of Xiaohongshu content to post when target audience is most active and engaged, maximizing impressions, engagement, and algorithm boost from early interaction signals.

When to Use

Use when:

  • Planning content publishing schedule
  • Experiencing low engagement on posts
  • Starting new account and need initial momentum
  • Building consistent posting routine
  • Optimizing for audience in specific time zones
  • Running campaigns or challenges

Do NOT use when:

  • Content quality is poor (timing won't save bad content)
  • Posting frequency is inconsistent (consistency > perfect timing)
  • Obsessing over exact minute (hour-level is sufficient)
  • Account has no audience yet (<100 followers, post anytime)

Core Pattern

Before (posting randomly):

❌ "Post whenever I remember, random times"
❌ "Why does engagement vary so much between posts?"
❌ "Great content getting only 20 likes"
❌ "No predictable engagement patterns"

After (strategic timing):

✅ "Post Tuesday 7-9 PM when 60% of audience active"
✅ "Consistent engagement: 80-120 likes per post (vs 20-50 before)"
✅ "Algorithm boost: early engagement triggers wider distribution"
✅ "Predictable performance: know what to expect"
✅ "Content reaches audience when they're ready to engage"

5 Timing Factors:

  1. Audience Activity - When followers are online and scrolling
  2. Competition Level - When others post (avoid saturation)
  3. Algorithm Freshness - Early engagement signals boost reach
  4. Content Type - Video vs图文 perform best at different times
  5. Seasonality - Time of day, day of week, holidays

Quick Reference

Time SlotBest ForEngagement Level
7-9 AMMorning routines, motivational contentMedium
12-1 PMLunch break scrollingHigh
6-8 PMCommute home, evening relaxationVery High
8-10 PMPrime time, peak activityVery High
10 PM-12 AMNight owls, binge contentMedium

Best Days: Tue-Thu (highest engagement), Fri-Sun (competitive but high volume)

Implementation

Step 1: Analyze Audience Activity Patterns

Identify Peak Hours:

Xiaohongshu Audience Analytics:

1. Check Built-in Analytics
   - Go to: Creator Studio → Analytics → Audience
   - Look at: "Active Hours" chart
   - Identify: Top 3 hours with highest follower activity

2. Manual Testing (Week 1-2)
   - Post at different times: 8 AM, 12 PM, 6 PM, 9 PM
   - Track: Impressions in first 30 min, Engagement rate
   - Identify: Which time slots perform best

3. Audience Survey (Optional)
   - Ask followers: "When do you scroll Xiaohongshu?"
   - Poll: "Morning, afternoon, evening, or night?"
   - Direct feedback from engaged followers

Target Audience Personas:

Students:
- Active: 7-9 AM (before class), 12-1 PM (lunch), 8-11 PM (homework done)
- Peak: 8-10 PM
- Weekends: All day, especially 2-4 PM, 8-11 PM

Working Professionals:
- Active: 7-9 AM (commute), 12-1 PM (lunch), 6-10 PM (after work)
- Peak: 7-9 PM
- Weekends: 9-11 AM, 8-10 PM

Parents:
- Active: 6-8 AM (before kids wake), 9-11 PM (kids asleep)
- Peak: 8-10 PM
- Weekends: Nap time, evening

Activity Pattern Template:
Primary Peak: [7-9 PM] - [60%] of audience active
Secondary Peak: [12-1 PM] - [30%] of audience active
Tertiary Peak: [8-9 AM] - [20%] of audience active

Step 2: Determine Optimal Posting Schedule

Strategic Scheduling:

Content Calendar Timing:

1. Primary Posting Time (Best Slot)
   - Use for: Most important content, tutorials, in-depth guides
   - Time: Your highest engagement hour (e.g., 7-9 PM)
   - Frequency: 3-4x per week

2. Secondary Posting Time (Good Slot)
   - Use for: Regular content, updates, lighter posts
   - Time: Second-best hour (e.g., 12-1 PM)
   - Frequency: 2-3x per week

3. Weekend Schedule (Extended Peak)
   - Use for: Lifestyle content, vlogs, behind-the-scenes
   - Time: 2-4 PM or 8-10 PM
   - Frequency: 1-2x per weekend

Weekly Schedule Template:

Monday: [12-1 PM] - Motivation/weekly plan content
Tuesday: [7-9 PM] - Major tutorial/guide (PRIME)
Wednesday: [12-1 PM] - Mid-week update
Thursday: [7-9 PM] - Major tutorial/guide (PRIME)
Friday: [6-8 PM] - Weekend prep content
Saturday: [8-10 PM] - Lifestyle/vlog content
Sunday: [2-4 PM] or [8-10 PM] - Chill/inspiration content

Frequency: 5-7x per week (minimum 5x for growth)

Consistency Rule:
✅ Post at same times weekly (builds follower expectation)
✅ Protect prime slots (never skip Tue/Thu evening if that's your peak)
✅ Communicate schedule (followers know when to expect content)

Step 3: Time for Content Type

Content-Specific Timing:

Match Content to Audience Mindset:

1. Morning Content (7-9 AM)
   Best for:
   - Motivation/inspiration
   - Quick tips
   - Morning routine content
   - Positive energy to start day

   Why: Audience in optimistic mood, seeking inspiration

2. Lunch Break (12-1 PM)
   Best for:
   - Quick reads
   - Listicles
   - Short carousels (5-7 slides)
   - Entertainment content

   Why: Short attention window, want bite-sized content

3. Evening Prime (6-10 PM)
   Best for:
   - Long-form content
   - Tutorials (10+ slides)
   - Deep-dive guides
   - Educational content

   Why: Relaxed, have time to engage deeply

4. Late Night (10 PM-12 AM)
   Best for:
   - Emotional content
   - Relatable posts
   - "Me vs. also me" content
   - Vlogs/behind-the-scenes

   Why: Introspective mood, seeking connection

Video vs图文 Timing:
- Video: Performs better evenings (7-10 PM) when people have time to watch
- 图文: Performs better lunch (12-1 PM) and commute (6-8 PM) for quick scrolling

Step 4: Test and Iterate Timing

A/B Testing Framework:

Timing Optimization Process:

1. Baseline Month (Month 1)
   - Post at: Best estimated times based on analytics
   - Track: Engagement rate for each time slot
   - Identify: Top 3 performing time slots

2. Testing Phase (Month 2-3)
   Week 1-2: Test 6 PM vs 8 PM (both prime candidates)
   Week 3-4: Test 7 PM vs 9 PM (fine-tune best slot)
   Week 5-6: Test weekday vs weekend same time
   Week 7-8: Test morning vs evening for light content

   Compare:
   - Impressions in first 30 minutes (algorithm boost)
   - Engagement rate (likes, comments, saves)
   - Follower conversion (new follows from post)

3. Data Analysis
   Create timing performance log:

   Time Slot | Avg Engagement | First 30min Impressions | Follower Conv. | Conclusion
   ----------|----------------|--------------------------|----------------|------------
   12-1 PM   | 8%             | 150                      | 2%             | Good for light content
   6-7 PM    | 10%            | 200                      | 4%             | Strong, keep testing
   7-8 PM    | 15%            | 350                      | 6%             | WINNER - prime slot
   8-9 PM    | 12%            | 280                      | 5%             | Secondary prime
   9-10 PM   | 9%             | 180                      | 3%             | Declining

4. Optimize Schedule
   - Move most important content to winning slot (7-8 PM)
   - Use secondary slot (8-9 PM) for regular content
   - Use lunch slot (12-1 PM) for quick content
   - Retire low-performing slots

Testing Best Practices:
- Test one variable at a time (time of day)
- Keep content type consistent when testing
- Minimum 2-week test period for statistical significance
- Track seasonality (holidays, events affect results)

Step 5: Leverage Seasonal and Event Timing

Special Timing Opportunities:

Event-Based Posting Strategy:

1. Holidays and Seasons
   Pre-Holiday (1-2 weeks before):
   - Gift guides, holiday prep content
   - Example: "7 Valentine's Gift Ideas" (Feb 1)
   - Timing: 1-2 weeks before holiday

   During Holiday:
   - Real-time celebration, event coverage
   - Example: "Chinese New Year Outfit Reveal" (Feb 10)
   - Timing: Day of holiday

   Post-Holiday (1 week after):
   - Recap, results, thank you content
   - Example: "Valentine's Recap: What I Gave & Received" (Feb 15)
   - Timing: 1-3 days after holiday

2. Trending Topics and Events
   - Monitor: Xiaohongshu trending page
   - Act fast: Post within 24-48 hours of trend emergence
   - Timing: Any time (trend trumps optimal timing)

3. Time-Sensitive Content
   Breaking news:
   - Post immediately (time-sensitive)
   - Timing: Whenever news breaks

   Evergreen content:
   - Use optimal timing (7-9 PM)
   - Timing: Prime slots only

Seasonal Adjustment Strategy:
Winter (Nov-Feb):
- Peak: 6-8 PM (earlier, darker evenings)
- Engagement: Higher (people indoors more)

Summer (Jun-Aug):
- Peak: 8-10 PM (later, outdoor activities)
- Engagement: Lower (more outdoor activities)

Adjust schedule seasonally for maximum reach.

Common Mistakes

MistakeWhy HappensFix
Posting only when convenientLife gets busyUse scheduling tools, batch create content
Ignoring audience timezoneFollowers in different regionAnalyze follower location, adjust accordingly
Posting at same time dailyHabitDifferent content types need different timing
Not testing timingAssume industry standard appliesTest and find YOUR audience's peak times
Posting during low-activity hoursDon't know when audience activeCheck analytics, identify activity patterns
Inconsistent scheduleNo content calendarBuild content calendar, protect prime slots
Obsessing over exact minuteThink precision mattersHour-level is sufficient, minute-level is negligible
Ignoring seasonalityUse same schedule year-roundAdjust timing for seasons, holidays, events

Real-World Impact

Case Study: Timing Optimization Results

  • Before: Posted randomly throughout day, 5% avg engagement, 50-100 likes per post
  • After: Analyzed audience, established schedule (7-9 PM Tue/Thu prime), 12% avg engagement, 150-200 likes per post
  • Result: 2.5x increase in engagement, predictable performance, 3x follower growth rate

Data-Backed Insights:

  • Posts published during peak audience hours get 2-3x more engagement
  • Early engagement (first 30 min) is critical: 80% of ultimate engagement happens in first hour
  • Consistent posting schedule builds follower expectation: 40% higher engagement from regular followers
  • Tuesday 7-9 PM is consistently highest engagement across most niches
  • Weekend evenings (8-10 PM Sat/Sun) have highest impressions but also highest competition
  • Content posted at optimal time gets 50% more algorithm boost (early engagement signals)
  • Accounts with consistent posting schedules grow 2x faster than inconsistent posters

Related Skills

REQUIRED: Use content-calendar (plan publishing schedule) REQUIRED: Use data-analytics (track timing performance)

Recommended for timing optimization:

  • timing-analysis (detailed analysis of optimal posting times)
  • content-planning (integrate timing into content strategy)
  • audience-analysis (understand audience activity patterns)

Use publishing-timing WITH:

  • tag-optimization (timing + tags = maximum discoverability)
  • content-planning (schedule content at optimal times)
  • viral-creation (launch viral content at prime time)

平台分布

Codex

36.7%
按下载量换算199

Claude

30.84%
按下载量换算167

Cursor

18.2%
按下载量换算98

Gemini CLI

9.42%
按下载量换算51

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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