Token导航 LogoToken导航TokenDH.com
研究检索只读github未标认证来源可访问许可证需确认审计提醒

hashtag-optimization主题标签优化

Agent Skill

hashtag-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。

总安装

1,670

周安装

71

GitHub Stars

142

下载量

585
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:hashtag-optimization(主题标签优化)
来源仓库:https://github.com/vivy-yi/xiaohongshu-skills
仓库路径:skills/hashtag-optimization
安装命令:
npx skills add https://github.com/vivy-yi/xiaohongshu-skills --skill hashtag-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。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 hashtag-optimization

简介

针对小红书等平台的主题标签优化,提升内容曝光与用户触达效率。

  • 适合创作者优化标题、分类与标签组合,增强算法推荐权重。
  • 通过 GitHub 安装,基于公开语料库进行分析,不涉及账号直接操作。
  • 建议结合历史数据与竞品表现综合判断,避免单一指标依赖。
  • hashtag-optimization 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Hashtag Optimization (话题标签优化)

Overview

Hashtag optimization is the strategic selection and combination of hashtags, topic tags, and keywords to maximize Xiaohongshu content discoverability through search, topic pages, and algorithm recommendations, ensuring content reaches the target audience actively searching for relevant topics.

When to Use

Use when:

  • Publishing new content and need optimal hashtag selection
  • Content has low impressions from search/discovery
  • Starting a new account and need initial visibility
  • Targeting specific niche topics or communities
  • Participating in trending conversations
  • Improving content SEO for long-term discoverability

Do NOT use when:

  • Content has no real topic relevance (spammy tagging hurts reach)
  • Relying entirely on hashtags for visibility (content quality matters more)
  • Using trending hashtags irrelevant to content (algorithm penalizes this)

Core Pattern

Before (poor tag strategy):

❌ "Used #skincare #beauty #fashion on every post"
❌ "Why isn't my content appearing in search?"
❌ "Only getting 50 views per post, low discoverability"
❌ "No targeted traffic, just random discovery impressions"

After (optimized tag mix):

✅ "1 broad topic (#skincare) + 3 niche tags (#dryskincare #sensitiveskinroutine) + 1 branded tag (#mybrandchallenge)"
✅ "30% of traffic from search (vs 5% before)"
✅ "Content appearing in relevant topic feeds consistently"
✅ "Targeted audience finding content through search queries"
✅ "Long-term compounding: posts rank for keywords for months"

4 Tag Types Framework:

  1. Broad Topic Tags - High-volume, general categories (#skincare, #makeup)
  2. Niche Specific Tags - Targeted, specific topics (#dryskincare, #budgetmakeup)
  3. Trending/Event Tags - Timely, seasonal (#summerskincare, #newyearroutine)
  4. Branded/Custom Tags - Unique to account (#yourbrandchallenge, #yourtips)

Quick Reference

Tag TypePurposeQuantityExample
Broad TopicCategory exposure1-2#skincare, #makeup
Niche SpecificTargeted reach2-4#dryskincare, #budgetskincare
Trending/EventTimely boost0-2#summerskincare, #2024trends
Branded/CustomBrand identity1#mybrandchallenge

Optimal Mix: 5-8 total tags per post

Implementation

Step 1: Research Relevant Tags

Tag Discovery Process:

Xiaohongshu Tag Research:

1. Search Bar Suggestions
   - Type your main keyword in Xiaohongshu search
   - Note auto-complete suggestions (high search volume)
   - Example: Type "skincare" → "skincare routine", "skincare tips", "skincare for acne"

2. Competitor Tag Analysis
   - Find 5-10 successful accounts in your niche
   - Analyze their most popular posts (500+ likes)
   - Note which tags they use consistently
   - Identify: high-engagement tags, recurring tags, niche-specific tags

3. Topic Page Exploration
   - Browse topic pages related to your niche
   - Check trending tags within topics
   - Note: follower count of topic, post frequency, engagement levels

4. Third-Party Tools (Optional)
   - Qiangua (千瓜数据): Tag popularity metrics
   - Huitun Data (灰豚数据): Tag trends and competition
   - Use for: Tag volume, trending tags, competitive analysis

Tag Research Template:
Main Keyword: [skincare for dry skin]
Broad Tags: #skincare #dryskin
Niche Tags: #dryskincare #sensitiveskin #budgetskincare
Trending: #winterskincare #2024skincare
Branded: #mybrandchallenge

Step 2: Apply Optimal Tag Mix

Tag Combination Strategy:

Tag Selection Framework:

1. Start with 1 Broad Topic Tag
   Purpose: Category-level exposure
   Example: #skincare, #makeup, #fashion, #food
   Selection Criteria: Directly describes your content category, High volume (10k+ posts)

2. Add 2-4 Niche Specific Tags
   Purpose: Targeted, high-intent audience
   Example: #dryskincare, #budgetskincareroutine, #sensitiveskin
   Selection Criteria: Specific to your content topic, Medium volume (1k-10k posts), Less competitive

3. Include 0-2 Trending/Event Tags
   Purpose: Timely traffic boost
   Example: #summerskincare, #newyearnewme, #2024trends
   Selection Criteria: Currently trending, Relevant to content, Time-sensitive

4. Add 1 Branded/Custom Tag
   Purpose: Brand identity, UGC collection
   Example: #mybrandchallenge, #mytips, #[brand]routine
   Selection Criteria: Unique to your account, Memorable, Encourage followers to use

Optimized Tag Example:
Title: "7 Budget Skincare Tips for Dry Sensitive Skin"
Tags: #skincare (broad) #dryskincare (niche) #sensitiveskin (niche) #budgetskincare (niche) #budgetskincareroutine (niche) #winterskincare (trending) #mybrandchallenge (branded)
Total: 7 tags (optimal range)

Step 3: Optimize Tag Placement

Tag Positioning Strategy:

Where to Place Tags:

1. In Content Description (Bottom)
   - Add all tags at end of description
   - Separate tags with spaces
   - Mix tag types throughout

2. In Post Title (Optional)
   - Include 1-2 high-relevance tags naturally in title
   - Don't stuff title with hashtags

3. In Content (Carousel Last Slide)
   - Call-to-action: "Follow #[yourbrandedtag] for more tips"
   - Challenge: "Use #[yourbrandedtag] to share your results"

Step 4: Test and Iterate Tags

A/B Testing Framework:

Tag Testing Methodology:

1. Control Variable Testing
   - Post similar content with different tag combinations
   - Keep content, title, cover image consistent
   - Only vary hashtags used
   - Measure: impressions, engagement, follower conversion

2. Test Framework
   Week 1: Test Tag Set A (5 broad tags)
   Week 2: Test Tag Set B (5 niche tags)
   Week 3: Test Tag Set C (3 broad + 2 niche + 1 branded)

3. Identify Winning Patterns
   - Which tags drive most search traffic?
   - Which tags result in highest engagement?
   - Which tags bring most valuable followers?

4. Document Learnings
   Tag | Impressions | Engagement | Conversion | Notes
   -----|------------|------------|-------------|-------
   #skincare | 5,000 | 8% | 2% | High volume, low conversion
   #dryskincare | 800 | 12% | 8% | Lower volume, high conversion

Optimization Actions:
- Double down on high-conversion niche tags
- Maintain broad tags for category exposure
- Retire low-performing tags

Step 5: Monitor Tag Performance

Tag Analytics Tracking:

Monthly Tag Analysis:

For each post, track:

1. Discovery Breakdown
   - Views from discovery (algorithm)
   - Views from search (tags/keywords)
   - Views from other sources
   - Goal: Search ≥20% of total views

2. Tag-Specific Metrics
   - Which topic pages featured content?
   - Which search terms brought traffic?
   - Follower conversion by tag

3. Competitive Tag Analysis
   - What tags are competitors using successfully?
   - Any new trending tags in niche?

Common Mistakes

MistakeWhy HappensFix
Using irrelevant trending tagsWant quick exposureOnly use tags relevant to content topic
Too many tags (10+)Fear of missing outUse 5-8 strategic tags
Only broad tags, no niche tagsEasier to find broad tagsMix broad + niche
Same tags on every postLazy optimizationCustomize to each post
No branded tagDon't think to create oneCreate unique tag for account
Ignoring tag performanceDon't track what worksMonthly audit, double down on winners

Real-World Impact

Case Study: Tag Optimization Transformation

  • Before: 3 generic broad tags, 5% search traffic, 100 impressions/post
  • After: Optimized mix (1 broad + 4 niche + 1 trending + 1 branded), 25% search traffic, 500 impressions/post
  • Result: 5x increase in search-driven traffic, higher follower conversion (10% vs 2%)

Data-Backed Insights:

  • Posts with 5-8 relevant tags get 3x more search impressions
  • Niche-specific tags have 2-3x higher follower conversion than broad tags
  • Branded tags used consistently increase UGC by 40%
  • Search traffic has 3x higher follower conversion than discovery traffic

Related Skills

REQUIRED: Use content-planning (plan tag strategy) REQUIRED: Use data-analytics (track tag performance)

Recommended:

  • tag-optimization (account operations tag strategy)
  • keyword-analysis (identify high-value keywords)
  • competitor-analysis (analyze competitor tags)

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.38%
按下载量换算207

Claude

31.26%
按下载量换算183

Cursor

20.47%
按下载量换算120

Gemini CLI

10.17%
按下载量换算59

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills