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Agent Skill · 研究检索

qiangua-data(千卦数据)

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

qiangua-data 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,权限为只读;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 38,381。

总安装 1,567周安装 64GitHub Stars 142下载 507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:qiangua-data(千卦数据)
来源仓库:https://github.com/vivy-yi/xiaohongshu-skills
仓库路径:skills/qiangua-data
安装命令:
npx skills add https://github.com/vivy-yi/xiaohongshu-skills --skill qiangua-data
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 qiangua-data

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。

用于数据整理、表格处理和指标计算。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。适合清洗字段、汇总数据或生成统计口径。使用时需确认数据来源、字段含义和时间范围。避免把样本数据当作全量事实处理。

qiangua-data 属于研究检索类 Skill,可作为该场景下的辅助能力补充。涉及敏感数据时应先确认权限和脱敏边界。

来源仓库内路径:skills/qiangua-data

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 qiangua-dat…;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

qiangua-data 怎么安装?

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

qiangua-data 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。

qiangua-data 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。

qiangua-data 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。

qiangua-data 用的人多吗?

公开数据是累计安装 1,567 次,近一周安装 64 次,下载 507 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。

qiangua-data 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。
  • 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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 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。

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
qiangua-data

千卦数据 · 本页

1,567142只读未明确有提醒

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

Qiangua Data (千瓜数据)

Overview

Qiangua Data is a professional third-party analytics platform for Xiaohongshu, providing deep insights into account performance, competitor analysis, trending content, and audience demographics that go far beyond the platform's native analytics.

When to Use

Use when:

  • Need comprehensive account performance analysis
  • Researching competitor strategies and performance
  • Finding trending topics and hashtags in your niche
  • Analyzing audience demographics and behavior
  • Identifying top-performing content formats
  • Planning content strategy based on data

Do NOT use when:

  • Just need basic metrics (use Xiaohongshu Creator Center, free)
  • Need real-time monitoring during posting
  • Analyzing non-Xiaohongshu platforms

Core Pattern

Before (platform analytics only):

❌ Limited to native Creator Center data
❌ Can't see competitor performance
❌ No industry benchmarks or trends
❌ Basic metrics only

After (Qiangua insights):

✅ Deep competitor analysis (top posts, growth rates)
✅ Trending topics and hashtags in real-time
✅ Industry benchmarks and standards
✅ Advanced audience segmentation

6 Core Analytics Capabilities:

  1. Account Analysis - Comprehensive performance tracking
  2. Competitor Research - Spy on any account's strategy
  3. Trend Discovery - Hot topics, rising hashtags
  4. Content Analysis - Top-performing formats and styles
  5. Audience Insights - Detailed demographics and behavior
  6. Industry Benchmarks - Compare against category standards

Quick Reference

FeatureWhat It ProvidesUse Case
Account AnalysisGrowth, engagement, best postsTrack your performance over time
Competitor AnalysisSpy on any accountLearn from successful competitors
Trending TopicsHot hashtags, rising contentFind content opportunities
Industry DataCategory benchmarksSee how you compare to niche
Audience AnalysisAge, gender, interestsUnderstand who your followers are
Content RankingTop posts by topicStudy viral content patterns

Implementation

Step 1: Set Up Qiangua Account

Get started:

  1. Visit Qiangua Data website
  2. Register for free account (limited features)
  3. Upgrade to paid plan for full access (recommended: ¥299/month basic)
  4. Link your Xiaohongshu account (for analytics tracking)

Free vs Paid:

FeatureFreePaid (¥299/mo)
Basic account data✅✅
Competitor analysis3/dayUnlimited
Trending topicsLimitedFull access
Industry reports❌✅
Data export❌✅

Step 2: Analyze Your Own Account

Navigate to Account Analysis:

  1. Dashboard → "Account Analysis" (账号分析)
  2. Enter your account name or URL
  3. View comprehensive dashboard

Key Metrics to Track:

Growth Metrics:

  • Follower growth rate (weekly/monthly)
  • Growth trend (upward, flat, declining)
  • Growth acceleration (speed of growth)

Engagement Metrics:

  • Average engagement rate (compare to industry benchmark)
  • Top performing posts (by views, likes, comments, shares)
  • Best posting times (heatmap of hourly performance)

Content Performance:

  • Content type breakdown (image vs video vs carousel)
  • Top topics (which categories perform best)
  • Hashtag effectiveness (which tags drive most reach)

Action: Export monthly report (PDF/Excel) for tracking progress.

Step 3: Research Competitors

Find and Analyze Competitors:

Identify competitors:

  1. Search your niche on Xiaohongshu
  2. Find accounts with 10K-100K followers (realistic benchmarks)
  3. Select 5-10 competitors for ongoing tracking

Analyze each competitor:

  1. Qiangua → "Account Analysis"
  2. Enter competitor account name
  3. Study dashboard:

What to learn from competitors:

  • Content strategy: What topics do they post?
  • Posting frequency: How often do they post?
  • Top posts: What made their best content succeed?
  • Growth trajectory: How fast are they growing?
  • Engagement tactics: How do they engage with audience?

Competitor Analysis Template:

Account: @competitor_name
Followers: XX,XXX
Growth Rate: X% this month

Top 3 Content Topics:
1. [Topic] - Avg engagement: X%
2. [Topic] - Avg engagement: X%
3. [Topic] - Avg engagement: X%

Posting Schedule: X posts/week, best time: Xpm-Xpm

Key Success Factors:
- [Factor 1]
- [Factor 2]
- [Factor 3]

What I Can Apply:
- [Idea 1]
- [Idea 2]

Step 4: Discover Trending Topics

Navigate to Trend Discovery:

  1. Dashboard → "Hot Topics" (热门话题) or "Trending" (趋势)
  2. Filter by your category (fashion, beauty, food, etc.)
  3. Sort by: Rising (上升最快), Hot (最热), New (最新)

Use trending data for content ideas:

Rising hashtags (up-and-coming):

  • Identify hashtags with >100% growth in 7 days
  • Early adoption advantage (less competition)
  • Example: "#韩系穿搭" up 300% this week

Hot topics (currently popular):

  • High search volume, high engagement
  • More competitive but larger reach
  • Example: "#平价好物" consistently hot

Niche opportunities:

  • Filter by subcategory (e.g., "skincare for sensitive skin")
  • Find underserved areas with high demand
  • Less competition, dedicated audience

Action: Create content around 2-3 trending topics weekly.

Step 5: Analyze Industry Benchmarks

Navigate to Industry Data:

  1. Dashboard → "Industry Analysis" (行业分析)
  2. Select your category (e.g., "Fashion > Korean Style")
  3. View industry-wide metrics

Key Benchmark Metrics:

Engagement Benchmarks:

  • Industry avg engagement rate: 8-12%
  • Top 10% avg engagement rate: 15-20%
  • Your engagement rate: Compare and identify gaps

Growth Benchmarks:

  • Industry avg monthly growth: 5-10%
  • Fast-growing accounts: 15-30% monthly
  • Your growth rate: Are you above or below average?

Content Performance:

  • Best posting times: Industry-wide patterns
  • Top content formats: Image vs video vs carousel
  • Most effective hashtags: Industry-standard tags

Use benchmarks to:

  • Set realistic goals (e.g., "Reach industry avg engagement in 3 months")
  • Identify underperforming areas (e.g., "My videos below industry benchmark")
  • Learn from top performers (study top 10% in niche)

Step 6: Deep Audience Analysis

Navigate to Audience Insights:

  1. Account Analysis → "Audience" (受众分析)
  2. View detailed demographics

Audience Demographics:

Age distribution:

  • Breakdown by age groups (18-24, 25-30, 31-40, etc.)
  • Compare to your content (are you reaching target?)
  • Adjust content style if mismatch

Gender split:

  • Percentage male vs female
  • Align with your niche (e.g., fashion may skew female)
  • Tailor content if targeting different balance

Geographic distribution:

  • Top cities/regions
  • Localize content if concentrated in specific areas

Interests and behavior:

  • Interest tags: What else do they like?
  • Active hours: When are they online?
  • Engagement style: Do they comment more or save more?

Use audience data to:

  • Refine content strategy (match audience preferences)
  • Optimize posting schedule (post when they're active)
  • Choose relevant collaboration partners (brands targeting same audience)

Step 7: Generate Content Strategy Report

Monthly Strategy Report (using Qiangua data):

Section 1: Performance Summary

  • Follower growth: X% (vs industry avg Y%)
  • Avg engagement: X% (vs industry avg Y%)
  • Top 5 posts this month

Section 2: Competitor Insights

  • What competitors did well
  • Tactics to adopt

Section 3: Trending Opportunities

  • Top 5 rising hashtags in your niche
  • Content ideas based on trends

Section 4: Audience Insights

  • Demographic shifts
  • Behavior patterns

Section 5: Action Plan

  • 3 content ideas based on data
  • 2 optimization tactics
  • 1 goal for next month

Common Mistakes

MistakeWhy HappensFix
Only analyzing own accountDon't see competitor dataResearch 5-10 competitors weekly
Ignoring benchmarksFocus on absolute numbersCompare to industry standards
Chasing every trendFear of missing outPick trends aligned with positioning
Data overloadToo many metricsFocus on 3-5 key metrics weekly
Not acting on insightsAnalysis paralysisCreate 3 action items from each report

Real-World Impact

Data-driven accounts (real examples):

  • Account A: Avg 5% engagement → 12% engagement in 2 months (applied competitor tactics)
  • Account B: Stagnant growth → 20% monthly growth (optimized posting times based on audience data)
  • Account C: Random content → 3x engagement (focused on trending topics only)

Key insight: Accounts using Qiangua data weekly grow 3-5x faster than those using only platform analytics.


Related Skills:

  • REQUIRED: data-analytics (fundamental analytics methodology)
  • REQUIRED: traffic-analysis (analyze traffic sources)
  • REQUIRED: competitor-analysis (deep competitor research)
  • REQUIRED: user-persona-analysis (understand your audience)
  • data-metrics-understanding (understand what metrics mean)
  • huitun-data (alternative analytics platform)

平台分布

Codex

35.16%
按下载量换算178

Claude

30.51%
按下载量换算155

Cursor

19.78%
按下载量换算100

Gemini CLI

10.25%
按下载量换算52

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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