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Updated 5mo ago

by xx254

linkedin_skills

AI-powered LinkedIn outreach system — lead filtering, message drafting, and reply handling via Claude Code skills

Works with
  • Claude
View on GitHub (opens in a new tab)

20 GitHub stars (20)

Steady at 20 stars — no new stars in the 2 days since Oct 21.

  • 6 skills (6 skills found in its SKILL.md files)
  • 6 forks (6 forks)
  • 5mo ago last update (Last updated 5mo ago)

Install

Skills CLI

npx skills add xx254/linkedin_skills

Asks which skills and agents to install. Just one: npx skills add xx254/linkedin_skills --skill calibrate-voice — add -g for every project.

Claude Code

git clone https://github.com/xx254/linkedin_skillscp -r "linkedin_skills/calibrate-voice" ~/.claude/skills/

Copies the calibrate-voice skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.

Plugin

/plugin marketplace add xx254/linkedin_skills

Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.

Skills can run code on your machine — read the SKILL.md first.

What it does

In the author's own words, from each skill's SKILL.md.

  • calibrate-voice

    Build a voice profile from real messages the user has written. Produces a style guide Claude follows every time it drafts outreach. Use when setting up the system for the first time, when reply rates drop, or when the user says their messages sound off. Trigger on: "calibrate my voice", "my messages sound like a bot", "build my style guide", or any time the user pastes a set of messages they've p…

    calibrate-voice/SKILL.md on GitHub (opens in a new tab)

  • campaign-retro

    Post-campaign analysis for LinkedIn outreach. Turns results into a precise diff of changes to three levers: voice, signals, and reply logic. Not a post-mortem, a fix list. Use when a campaign has finished and the user wants to know what to change. Trigger on: "review my campaign results", "my campaign just finished", "reply rate was low", "what do I fix after this campaign?", or any time the user…

    campaign-retro/SKILL.md on GitHub (opens in a new tab)

  • draft-outreach

    Draft first-touch LinkedIn outreach for qualified leads using canonical lead artifacts. Uses persistent settings, brand voice, and outreach state to avoid duplicate sends. Trigger on: "draft message for [name]", "create outreach from filtered leads", or when a user selects leads from the lead-filter output.

    draft-outreach/SKILL.md on GitHub (opens in a new tab)

  • linkedin-lead-filter

    Filter a CSV of LinkedIn leads against ICP criteria and persist canonical lead state. Outputs qualified/disqualified files, a contract registry JSON, and weekly metrics. Use when you have a lead list and want repeatable qualification before outreach.

    linkedin-lead-filter/SKILL.md on GitHub (opens in a new tab)

  • onboard

    First-run onboarding. Analyzes the user's landing page to suggest an ICP, asks for confirmation and any additions, then collects timezone + cadence. Saves everything to state/linkedin-settings.json and marks firstRunCompleted: true. Run this once before using any other skill.

    onboard/SKILL.md on GitHub (opens in a new tab)

  • reply-handler

    Draft a reply to a LinkedIn prospect's message. Uses shared state, classification, and scripts for artifacts and metrics. Trigger on: "draft a reply", "they responded", or when the user pastes a prospect message.

    reply-handler/SKILL.md on GitHub (opens in a new tab)

Review before you install

A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.