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qiangua-data千卦数据

Agent Skill

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。

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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: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

简介

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。

SKILL.md

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)

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02

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