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LinkedIn dashboard from an export v1.0.0

Use this resource to analyze LinkedIn performance from an xlsx export

New

  • 502 downloads
  • 161 likes
  • 152 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install linkedin-analytics-dashboard

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent reads every sheet of your LinkedIn export and builds an interactive React dashboard with trend, growth, post scatter, day heatmap and audience charts. It then writes five data-backed recommendations.

Mostly picked by

Updated November 2, 2026

Card for the “LinkedIn dashboard from an export” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: reading the export and preparation steps
  • SKILL.md: dashboard components, metrics, charts and heatmap
  • SKILL.md: strategic analysis with five recommendations

Good fit for

  • You want to know which posts really worked
  • You prepare a quarterly performance review

Not for

    Tags

    • linkedin
    • analytics
    • dashboard

    About

    You say

    “Analyze my LinkedIn export and tell me which days to post.”

    Card for the “LinkedIn dashboard from an export” skill

    Skill published by charlie947 under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to analyze LinkedIn performance from an xlsx export
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md7.3 KB

    Origin and licence

    Listed unmodified

    Author
    charlie947
    Source
    github.com/charlie947/social-media-skills/tree/10ca79c0ec0be0f7654d19cd4f0c86b6fa6ed23b/skills/analytics-dashboard
    Licence
    MIT

    Notice

    « analytics-dashboard » (charlie947, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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