📊
DataPython

Self-Media Content Analytics

by yanhua1010

Self-Media Content Analytics is a Data skill for Claude Code, published by yanhua1010 in self-media-content-workflow.

366 stars50 forkson yanhua1010/self-media-content-workflowAdded 2026/08/11Repository updated 2026/07/26
agent-skillsai-agentsclaude-codeclaude-skillscontent-creationcopywritingself-mediasocial-mediawechatxiaohongshu
Install in seconds
Install Self-Media Content Analytics
Copy Self-Media Content Analytics into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/yanhua1010/self-media-content-workflow/tree/main/skills/self-media-content-analytics ~/.claude/skills/self-media-content-analytics

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/yanhua1010/self-media-content-workflow.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/self-media-content-analytics/SKILL.md in yanhua1010/self-media-content-workflow
Installs to
~/.claude/skills/self-media-content-analytics
Collection
One of 9 skills cataloged from this repository
Category
Data668 skills

What Self-Media Content Analytics does

Analyzes self-media content data (individual pieces, series, weekly or monthly) to produce actionable reviews. Helps creators attribute performance to topics, titles, covers, openings, and structure, and decide on content strategy adjustments.

Self-Media Content Analytics is cataloged under Data on DirSkills. Self-Media Content Analytics comes from a repository tagged agent-skills, ai-agents, claude-code, claude-skills and content-creation.

Documentation

README

内容数据复盘

数据来源

优先使用:

  1. 用户提供的平台后台截图和导出文件。
  2. 已认证连接器或用户自有账号的只读统计接口。
  3. 内容任务卡、注册表和历史复盘。
  4. 公开内容链接,仅用于公开指标和结构观察。

不要估算平台没有提供的数据。读取自有账号数据不等于授权修改账号或发布内容。

需要持续记录时,从 metrics-ledger-template.md 创建原始指标台账。若项目已有数据库、表格或分析系统,继续使用现有系统,不重复建账。

分析流程

1. 校验数据

检查平台、内容、发布日期、观察窗口、字段定义、缺失值和异常值。区分曝光、阅读或播放、互动、关注、转化和制作成本。

2. 给出核心结论

说明表现相对自身基线如何、最值得注意的信号是什么,以及哪些结论不能成立。

3. 做归因

按证据强弱检查:

  • 选题和目标受众。
  • 标题和封面。
  • 开头 3 秒或第一屏。
  • 结构、证据和信息密度。
  • 发布时间、标签、合集和行动。
  • 热点、投流、商单和账号体量等外部因素。

相关性不等于因果。没有对照或样本不足时写“待验证”。

4. 做同类比较

只比较同平台、同内容类型和相近时间窗口。优先使用中位数、P75、每千浏览新关注、深度互动率和制作时间。跨平台原始播放量不能直接排名。

完整指标定义见 metrics.md

5. 形成决策和实验

结论归入:加码、改包装、改主页或系列、平台再适配、停止、样本不足。

每次只设计一个主要实验变量,写清假设、改动、成功标准和观察窗口。

复盘层级

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Self-Media Content Analytics

  • What else does yanhua1010 publish alongside Self-Media Content Analytics?

    Self-Media Content Analytics is one of 9 skills that DirSkills catalogs from yanhua1010/self-media-content-workflow, the repository it ships in. Its siblings there include Self-Media Content Brief, Self-Media Content Delivery and Self-Media Content Strategy. Each one is a separate skill with its own page in this directory, installs the same way Self-Media Content Analytics does, and is maintained by yanhua1010 in that same repository. The rest of the collection is listed on the yanhua1010/self-media-content-workflow page.

  • How does Self-Media Content Analytics compare to other Data skills?

    Self-Media Content Analytics ranks #609 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Self-Media Content Analytics against them. Open each page to compare what they document and how they install.

More from yanhua1010/self-media-content-workflow

Self-Media Content Analytics is one of 9 skills cataloged on DirSkills from yanhua1010/self-media-content-workflow.

See all 9 skills
📋
3w ago

Self-Media Content Brief

Generates confirmable content briefs for self-media creators from vague ideas, links, or materials. Clarifies audience, goals, angle, and platform differences before writing begins.
Writing
36650
📦
3w ago

Self-Media Content Delivery

Automates saving, versioning, verifying, and packaging of self-media content milestones such as scripts, storyboards, and final drafts. Use when archiving or preparing release packages for platforms like WeChat or Xiaohongshu.
Automation
36650
📝
3w ago

Self-Media Content Strategy

Transforms account positioning and business goals into an executable self-media content strategy. Use for cold start, repositioning, content mix, series planning, topic pools, and content calendars.
Writing
36650
📝
3w ago

Self-Media Content Workflow

Self-Media Content Workflow organizes self-media content creation, research, platform rewrites, short video scripts, publishing packages, and analytics review. Use it to plan, draft, publish, and resume unfinished content tasks.
Writing
36850
✍️
3w ago

Self-Media Copywriting

Transforms confirmed themes, evidence, and briefs into platform-native content for X, Xiaohongshu, WeChat, and short-video platforms. Creates unique titles, openings, evidence sequences, structures, and CTAs for each channel—no one-size-fits-all reposting.
Writing
36650
🔍
3w ago

Self-Media Trend Radar

Safely tracks trending topics, researches keywords, and analyzes competitor content to generate original content ideas and evidence packs. Used for studying viral content, dissecting titles, comparing structures, and discovering audience needs through public information research only.
Writing
36650