SKILL

linkedin-analytics

Use when someone asks why their LinkedIn reach dropped, which posts worked, whether a pattern is real or how to test one. Analyzes posts with post_performance_analyzer.py, mines patterns with pattern_miner.py and plans tests with experiment_planner.py.

Target: Marketing & growth. Automatically collected · unverified.

Excerpt from the author’s documentation

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Topics in the source

  • LinkedIn Analytics — describe honestly, then refuse to over-conclude
  • Workflow
  • Rules
  • Scripts
  • References and assets
  • Distinct from

The characteristic sentence of LinkedIn analytics is "carousels do 3x better for me", built on four posts. With engagement as heavy-tailed as it is, four posts will show a 3x difference between almost any two groups you care to define. These three scripts stop that sentence becoming a strategy. Your own data only. Nothing is fetched; scraping post or profile data is prohibited by User Agreement §8.2 and none of this analysis needs it. 1. Get the export. LinkedIn Analytics → Post impressions → Export, or Settings → Data privacy → Get a copy of your data. CSV and JSON both work. 2. Describe it. Exit 0 analysed / 2 below the 10-post floor, descriptive only / 3 unusable. Reports median and MAD rather than mean and standard deviation — one breakout post makes a mean describe a distribution none of your posts belong to — plus Tukey percentile bands and a 1.5×IQR breakout threshold, so "this did well" has a number behind it. 3. Test the pattern they think they see. Exit 0 something survived / 2 nothing survived / 3 under 10 posts. Four gates: 5 posts in and 5 out; a 15% relative difference in medians; beating 90% of 2,000 seeded label shuffles; and a multiple-comparisons accounting of how

This is an excerpt. Refer to the complete source and its current requirements.

Source repository
alirezarezvani/claude-skills
Source file
marketing/linkedin/skills/linkedin-analytics/SKILL.md
Fixed revision
8f082544116fc0d014188e521ca40304cdfc86b0
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Author: alirezarezvani/claude-skills · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-09T14:01:47.242Z.

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