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Self-Media Content Analytics Review

Reads dashboard screenshots, CSVs, or public links to validate content performance per post, week, or month, attribute causes, and design the next single experiment.

Data & AnalyticsIntermediate★ 368⑂ 50AI score 9/10Last updated: Jul 26, 2026

What it does

  • Ingests platform backend screenshots, CSV exports, spreadsheets, or public links and validates data quality first (field definitions, missing values, outliers, observation window).
  • Computes follow efficiency (new follows per 1,000 views), deep engagement rate, and production cost, then compares against your own baseline using medians and P75 rather than raw cross-platform view counts.
  • Attributes results by evidence strength across topic, headline, cover, first 3 seconds, structure, posting time, tags, and CTA — marking weak cases as "to be verified".
  • Buckets conclusions into scale up / repackage / rework profile or series / re-adapt for platform / stop / insufficient sample, and designs one experiment variable at a time.
  • Ships single-post, weekly, and monthly review templates plus a metrics ledger template.

Who it's for

  • Creators on YouTube/TikTok/Instagram/Substack who want a repeatable weekly performance retro.
  • Content marketers and social media managers reporting content KPIs.
  • Solo operators who want data-driven next steps instead of gut feel.

Examples

  1. Drop three analytics screenshots: "write my weekly review for these 5 Reels" → core findings, baseline notes, and 3–5 concrete actions.
  2. One video with high views but no follower growth → attribution highlights cover vs. hook vs. CTA with evidence strength.
  3. Month-end CSV export → monthly review separating sponsored from organic content, ending with one testable hypothesis.

Note: the skill body and templates are written in Chinese and lean toward Chinese platform metric conventions.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/yanhua1010/self-media-content-workflow/HEAD/skills/self-media-content-analytics/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the skills/self-media-content-analytics folder from the GitHub repo yanhua1010/self-media-content-workflow into my ~/.claude/skills/self-media-content-analytics/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/yanhua1010/self-media-content-workflow.git && mkdir -p ~/.claude/skills && cp -r self-media-content-workflow/skills/self-media-content-analytics ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal.
  2. Clone the repo: git clone https://github.com/yanhua1010/self-media-content-workflow.git
  3. Create the skills directory: mkdir -p ~/.claude/skills
  4. Copy the skill: cp -r self-media-content-workflow/skills/self-media-content-analytics ~/.claude/skills/
  5. Verify the assets/ and references/ folders came along: ls ~/.claude/skills/self-media-content-analytics
  6. Restart Claude Code and ask something like "review last week's content performance" to trigger the skill.
View source on GitHub ↗License: MIT