Claude-skill-registry linkedin-search

Search your LinkedIn posts/shares by topic, find connections by title or company, and get LinkedIn statistics. Use when analyzing your LinkedIn data, finding specific connections, or reviewing past posts and shares.

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/linkedin-search" ~/.claude/skills/majiayu000-claude-skill-registry-linkedin-search && rm -rf "$T"
manifest: skills/data/linkedin-search/SKILL.md
source content

LinkedIn Search

Search your LinkedIn data archive to find posts by topic, connections by role/company, and view statistics.

Setup

  1. Download your LinkedIn data export from LinkedIn Settings → Get a copy of your data
  2. Copy the ZIP to the watch folder:
    mkdir -p ~/.linkedin-exports
    cp ~/Downloads/Complete_LinkedInDataExport_*.zip ~/.linkedin-exports/
    

That's it! Dependencies install automatically on first use.

Usage

Search posts/shares:

python ${CLAUDE_PLUGIN_ROOT}/skills/linkedin-search/linkedin_search.py search-shares --query "AI"

Find connections:

python ${CLAUDE_PLUGIN_ROOT}/skills/linkedin-search/linkedin_search.py find-connections --title "founder" --company "microsoft"

Multi-keyword search:

python ${CLAUDE_PLUGIN_ROOT}/skills/linkedin-search/linkedin_search.py search-connections-keywords --keywords founder gtm

Get statistics:

python ${CLAUDE_PLUGIN_ROOT}/skills/linkedin-search/linkedin_search.py stats

How it works

  • First query: auto-installs deps, extracts ZIP, loads to SQLite, creates indexes
  • Subsequent queries: uses cached database (instant)
  • New export: auto-detects and reloads when newer ZIP found in
    ~/.linkedin-exports/

Examples

"Did I write about AI?" →

search-shares --query "AI"
"Find GTM agency founders" →
search-connections-keywords --keywords founder gtm
"How many posts?" →
stats