Linkedin Growth logo

Linkedin Growth

Organization
social-media-skills
linkedin-growth

The LinkedIn personal-profile growth playbook for 2026. Use when someone wants to "grow on LinkedIn," "get more LinkedIn followers/reach," "a LinkedIn strategy," "how the LinkedIn algorithm works," or how to use commenting/newsletters/video/connections to grow. Dwell time + early meaningful comments are the engine, personal profiles massively out-reach company pages, links go in the first comment, and strategic commenting on target accounts is the cheapest reach on the platform. Uses the LADDER framework. Reads brand-profile + voice-builder first. The agent drafts posts + comment copy and designs the system; a human does the live commenting/connecting/DMs; WoopSocial schedules posts; metrics come from native LinkedIn analytics (SSI as a directional check); nothing is fabricated. Single-post craft → linkedin-post-writer; company page → linkedin-company-pages.

Overview

Publishersocial-media-skills
Repositoryskills
Skill namelinkedin-growth
Stars
215
Forks
44
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by social-media-skills on GitHub. Read the source before you install it.

Installation

Install the Linkedin Growth AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/social-media-skills/skills/tree/main/skills/linkedin-growth
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/social-media-skills/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/linkedin-growth .claude/skills/linkedin-growth
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Linkedin Growth in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Linkedin Growth on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Linkedin Growth is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

linkedin-growth

The LinkedIn personal-profile growth engine — the profile as a landing page, what to post and how often, strategic commenting on target accounts, the golden hour, newsletters/video, and connections vs followers. The agent drafts posts + comment copy and designs the system; a human does the live commenting/connecting; scheduling-and-queue → WoopSocial publishes the posts. Complements linkedin-post-writer (the single-post craft) and linkedin-company-pages (the page).

The POV: dwell + comments, on a personal profile

LinkedIn's algorithm rewards dwell time (people actually reading) and early, meaningful comments — likes barely move distribution, and engagement bait is down-ranked. The feed is structurally tilted to people, not logos (personal profiles get ~65% of feed allocation; pages ~1–5%), external links in the body suppress reach (put them in the first comment), and posts now have a long shelf life via suggested feeds — a good post travels for days or weeks. The cheapest growth lever isn't posting more: it's thoughtful comments on bigger accounts in your niche, which put your name in front of their audience daily. And in a feed where ~half the long posts are AI-written, a specific, lived, first-person POV is the differentiator — not volume.

Read these first

  1. brand-profile — positioning, audience, non-negotiables.
  2. voice-builder — so posts and comments sound like one credible human.

The framework: LADDER

(Depth: references/the-ladder-framework.md.)

  • L — Landing-page profile: headline = value proposition (not job title); About opens with the 3 visible lines; Featured = the CTA; Follow-primary once inbound outpaces outbound. Every post's job ends at a profile visit — the profile converts it. → profile-optimization.
  • A — Author for dwell: win the "…see more" tap, format for the read, mix text / document carousel / native video / newsletter; link in the first comment. → linkedin-post-writer.
  • D — Deploy strategic comments: 5–10 substantive comments/day on target accounts in the niche — the afterburner. A comment is content, not a courtesy. → reply-and-comment-writer.
  • D — Drive the golden hour: first 60–90 min decides reach; post in the audience window, reply to every comment, comment around your own post time. Max 1 post/day, 3–5/week.
  • E — Expand with native surfaces: newsletter (notification + email push), native video (the 2026 push), audio events; SSI as a directional health check, never the goal.
  • R — Relationships & network hygiene: connections (capped, ~100 invites/week) vs followers (unlimited); no-pitch invites; DMs warm, not pitch-slaps. → social-selling-and-dm.

The reality (verify-quarterly)

Feed allocation and reach decline, dwell + comment weighting, the golden hour, link suppression, format hierarchy (carousels/video/text), the see-more cutoff, creator mode's retirement, connection caps, newsletters, SSI, the AI-content flood, cadence: references/linkedin-2026-reality.md. Post types + the commenting playbook + worked examples: references/comment-and-post-recipes.md.

Honest scope (never violate)

  • The engagement core is human — the agent drafts posts, comment copy, invite notes, and DM openers; a human posts the live comments, sends invites, and holds the conversations. No auto-commenting, no auto-connect tooling (a restriction risk on LinkedIn specifically).
  • WoopSocial schedules the posts (text + media + optional link; native document carousels, polls, newsletters, and audio events are posted/run natively). No update → delete + recreate. For link-in-first-comment, the agent supplies post + comment; the pair is posted by tool/human.
  • Post analytics: impressions, reach, reactions, comments, and clicks come from WoopSocial (LinkedIn Pages also reports engagement rate). Profile viewers, followers, and SSI stay on native LinkedIn. Never fabricate metrics.
  • No engagement bait, pods, mass-tagging, bought followers, or broetry theatre — down-ranked by the algorithm and quietly judged by the exact professionals you're trying to reach. (Scope, distinctions + connections: references/scope-and-connections.md.)

Distinct from its siblings (route correctly)

linkedin-growth (this) = the PERSONAL-profile growth system (profile, cadence, commenting, golden hour, features, network) · linkedin-post-writer = how to write one post well · linkedin-company-pages = the page strategy + employee advocacy (advocates' personal posting routes back here) · reply-and-comment-writer = drafting the comments/replies themselves · engagement-routine = the recurring daily engagement block · social-strategy = the cross-platform plan.

Where this connects

Reads first: brand-profile, voice-builder. Post craft: linkedin-post-writer, hook-writer, carousel-writer (document-carousel slides), talking-head-and-piece-to-camera (native video). Profile: profile-optimization. Engagement: engagement-routine, reply-and-comment-writer, community-management. Discovery: social-seo (headline/About keywords), ai-search-optimization (LinkedIn is a B2B AI-answer source), trend-jacking. Pipeline: social-selling-and-dm, lead-magnets-and-funnels; long-form owned channel: email-and-newsletter. Plan/measure: social-strategy, goals-and-kpis, analytics-and-reporting (native LinkedIn analytics). Publish: scheduling-and-queue → WoopSocial (posts; live comments/invites/DMs are human).

Definition of done

A profile audited as a landing page (headline = value prop, Featured = CTA, Follow-primary decision made); a 3–5 posts/week plan, max 1/day, with links in the first comment and format mix mapped to dwell; a named list of 10–20 target accounts with a 5–10 comments/day playbook (drafted by the agent, posted by a human); a golden-hour routine (audience window, reply-to-every-comment); native surfaces decided deliberately (newsletter yes/no, video cadence); connection-request hygiene with no-pitch invite copy; posts routed to scheduling-and-queue → WoopSocial with live engagement flagged human; metrics from native LinkedIn analytics + SSI directionally; no bait/pods/bought followers/ broetry; correctly distinguished from linkedin-post-writer and linkedin-company-pages.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Linkedin Growth AI skill do?

The LinkedIn personal-profile growth playbook for 2026. Use when someone wants to "grow on LinkedIn," "get more LinkedIn followers/reach," "a LinkedIn strategy," "how the LinkedIn algorithm works," or how to use commenting/newsletters/video/connections to grow. Dwell time + early meaningful comments are the engine, personal profiles massively out-reach company pages, links go in the first comment, and strategic commenting on target accounts is the cheapest reach on the platform. Uses the LADDER framework. Reads brand-profile + voice-builder first. The agent drafts posts + comment copy and d...

Why use Linkedin Growth on TypingMind?

Because you install it once and use it with any model. Linkedin Growth is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Linkedin Growth in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/social-media-skills/skills/tree/main/skills/linkedin-growth. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Linkedin Growth?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Linkedin Growth?

As many as you like. As long as a model supports skills, you can use Linkedin Growth with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Linkedin Growth AI skill free?

Yes. It is published on GitHub by social-media-skills under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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