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manojbajaj95
linkedin

LinkedIn profile optimization and content creation. Use when auditing or optimizing a LinkedIn profile, writing LinkedIn posts, developing thought leadership content, building personal brand on LinkedIn, analyzing SSI score, improving profile visibility, or crafting hooks and engagement strategy for LinkedIn.

Overview

Publishermanojbajaj95
Repositoryclaude-gtm-plugin
Skill namelinkedin
Stars
109
Forks
34
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 manojbajaj95 on GitHub. Read the source before you install it.

Installation

Install the Linkedin 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/manojbajaj95/claude-gtm-plugin/tree/main/skills/linkedin
  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/manojbajaj95/claude-gtm-plugin.git /tmp/claude-gtm-plugin
mkdir -p .claude/skills
cp -r /tmp/claude-gtm-plugin/skills/linkedin .claude/skills/linkedin
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Linkedin 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 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 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

Workspace Context

Read bootstrap context before asking questions: strategy/brand.md for brand, audience, offer, channels, tools, constraints, and metrics; about/me.md for personal voice; content/ideas.md and content/calendar.md for content planning. Use legacy product-marketing context files only as fallback. Save generated drafts to content/<platform>/drafts/YYYY-MM-DD_short-topic-slug.md, and route durable learnings back to strategy/brand.md, about/me.md, or content/ideas.md.

Operating Contract

This skill is self-contained for its frontmatter scope: use its local instructions, references, scripts, and assets as the playbook; ask only for missing task-specific inputs; hand off to adjacent skills instead of expanding scope; and return an actionable artifact, decision, plan, draft, or diagnostic.

Two modes — often used together:

  1. Profile Audit — analyze and optimize your LinkedIn profile (photo, headline, About, experience, skills, SSI, engagement rate)
  2. Content Creation — write high-engagement posts, build thought leadership, grow your audience

Check for strategy/brand.md and about/me.md before starting. If they exist, use them to calibrate voice, audience, and positioning.


Mode 1: Profile Audit

Analysis Types

  • Full Profile Audit — all elements, complete report with scores
  • Quick Profile Review — priority action items and quick wins only
  • Visibility Optimization — keyword/SEO discoverability
  • Content Strategy Analysis — posting frequency, engagement performance

Accessing LinkedIn via Chrome DevTools

Requires LinkedIn profile open in Chrome, user logged in.

ToolMCP NameUse For
List Pagesmcp__chrome-devtools__list_pagesFind LinkedIn tab
Select Pagemcp__chrome-devtools__select_pageFocus tab
Snapshotmcp__chrome-devtools__take_snapshotAccessibility tree with UIDs
Screenshotmcp__chrome-devtools__take_screenshotPhoto and banner analysis
Navigatemcp__chrome-devtools__navigate_pageGo to URLs
Click/Hovermcp__chrome-devtools__click / hoverInteract with elements

Workflow: list_pages → find linkedin.com/in/ → select_page → take_snapshot → take_screenshot → hover lazy-loaded sections → re-snapshot.

Playwright fallback: If Chrome DevTools unavailable, use mcp__playwright__browser_* equivalents.

Sections to analyze: photo, banner, headline, About, custom URL, experience, education, skills/endorsements, recommendations, featured section, activity/posts, followers/connections, groups.

Common errors:

ErrorRecovery
LinkedIn tab not foundAsk user to open LinkedIn in Chrome
Content not loadingScroll, increase timeout, refresh
Rate limited/CAPTCHAPause 30+ seconds, proceed slowly
SSI requires Sales NavigatorNote unavailable, provide estimation

Profile Scoring

CategoryWeightKey Factors
Visual Identity15%Photo quality, banner, consistency
Headline15%Value proposition, keywords, memorability
About Section15%Story, keywords, CTA
Experience20%Completeness, achievements, metrics
Skills & Endorsements10%Relevance, count, endorsements
Recommendations10%Quality, diversity, recency
Activity & Content15%Posting frequency, engagement rate

Score guide: 90–100 Elite · 80–89 Excellent · 70–79 Good · 60–69 Average · <60 Needs Work

Mandatory Metrics

Engagement Rate:

(Reactions + Comments + Shares) / Impressions × 100

Target: 3%+. Example: (15+1+0)/1,376×100 = 1.16% → below target.

SSI Score (target: 70+/100):

  • User visits linkedin.com/sales/ssi to share actual score, OR
  • Estimate: All-Star + active + engaged network → 70–85; complete + regular posting → 55–70; basic + occasional → 40–55

Profile Element Best Practices

Photo: 400×400px min, professional attire, approachable expression, face 60–70% of frame, clean background.

Banner (1584×396px): Branded, value proposition text, no small text or clutter.

Headline (220 chars): [Who you are] | [Problems you solve] | [Benefit/result] | [Keywords]

  • ❌ "Marketing Manager"
  • ✅ "Marketing Manager | Helping B2B Companies Grow Through Data-Driven Strategies | 45% Revenue Increase Specialist"

About (2,600 chars): Hook → story → what you do/who you help → achievements with metrics → skills → CTA. First person, short paragraphs, relevant keywords.

Experience: Quantified achievements (%, $, #), scope, key projects demonstrated.

Featured: 3–6 curated items — portfolio, case studies, articles, lead magnets.

Audit Report Structure

  1. Executive Summary
  2. Classification (Industry, Profile Type, Target Audience)
  3. Profile Scorecard
  4. Calculated Metrics (Engagement Rate, SSI)
  5. Element-by-Element Analysis
  6. Quick Wins (high impact, low effort)
  7. Strategic Recommendations
  8. 30-60-90 Day Action Plan

See references/scoring_framework.md, references/metrics_benchmarks.md, and assets/profile_audit_template.md for detailed criteria, industry benchmarks, and report templates.

Industry tone calibration: Conservative industries (Legal, Finance, Healthcare) → formal tone, 2–3x/week, minimal emojis. Progressive industries (Tech, Marketing, Startups) → casual/personal, 4–5x/week, emojis acceptable.


Mode 2: Content Creation

Core Principles

Authenticity over performance. LinkedIn readers instantly spot manufactured vulnerability and engagement bait. What resonates is genuinely useful or genuinely human.

  • Real experiences with honest reflection
  • Specific insights from your actual work
  • Admitting what you don't know
  • ❌ Performed vulnerability for engagement
  • ❌ Stories that feel too perfectly structured

One idea per post. If you have five points, that's five posts.

Value without strings. Ask: "Would I find this valuable if a stranger posted it?"

Post Anatomy

[HOOK — first 1-2 lines]          ← Visible before "...see more" (~210 chars)
...see more
[BODY — story or value]
 - Short paragraphs (1-2 sentences)
 - Line breaks for readability
[CTA — last 1-2 lines]
#hashtags (3-5, at the end)

Character limits:

ElementLimit
Post text3,000 chars
Visible before "see more"~210 chars
Comment1,250 chars
Headline220 chars
About section2,600 chars

Hook Formulas

TypeExample
Honest admission"I've been wrong about remote work."
Specific observation"I've noticed something in every founder who scaled past $10M."
Direct challenge"Most career advice optimizes for the wrong thing."
Unexpected angle"The best hire I made had the worst resume."
Contrarian opinion"Unpopular opinion: code reviews are a waste of time."
Personal story"I got fired on a Tuesday. Best thing that ever happened."
List promise"I've hired 200+ engineers. Here are 5 red flags I look for."

Hooks to retire:

❌ "This one thing made me $X"
❌ "The CEO pulled me aside and said..."
❌ "I'm excited to announce..."
❌ "In today's rapidly evolving landscape..."
❌ Starting with a hashtag or emoji

See references/hooks.md for comprehensive examples.

Formatting

❌ Dense paragraph: "I learned something about leadership last week. My team was
struggling and instead of pushing harder, I removed scope. The result was incredible."

✅ LinkedIn formatted:
"I learned something about leadership last week.

My team was struggling with a deadline.

Instead of pushing harder, I removed scope.

The result?

We shipped faster.
And the quality was BETTER."

Rules: one sentence per line, blank lines between paragraphs, numbered lists for tips, 3–5 hashtags at the very end (never inline), one emoji max.

Post Formats

Story Post (personal experiences, lessons):

[Honest admission or surprising outcome]
[One sentence of context]
[What happened — the tension]
[The turning point]
[What you learned]
[Question for reader]

List Post (frameworks, actionable advice):

[Hook — clear value promise]
[Why this matters — one sentence]
1. [Point with brief context]
2. [Point with brief context]
3. [Point with brief context]  (3-7 items max)
[Closing insight or question]

Contrarian Post (challenging conventional wisdom):

[Your position, stated directly]
[The common belief you're challenging]
[Your reasoning — why you see it differently]
[Evidence or experience]
[Nuanced conclusion — acknowledge complexity]
[Invite discussion]

Guardrails: Have genuine expertise, argue against ideas not people, offer an alternative, be open to being wrong.

Observation Post (industry insights, trends):

[What you've observed]
[Specific evidence or examples]
[Why it matters]
[Your interpretation]
[Question to test if others see it too]

Content Pillars

Rotate through 3–5 pillars:

PillarExample
Expertise"5 database patterns every engineer should know"
Stories"The hardest feedback I ever received"
Opinions"AI won't replace engineers. Bad managers will."
Behind the scenes"Here's our actual sprint retrospective format"
Curated insights"I analyzed 500 job postings. Here's what changed."

Algorithm Signals

SignalImpact
Dwell timeVery High — write posts people read fully
CommentsVery High — ask questions, create discussion
SavesHigh — actionable, reference-worthy content
"See more" clicksHigh — strong hook
External links in postNegative — put links in comments instead
Editing within first hourNegative
Posting >1x/dayNegative

Link post workaround: Post without link → add link as first comment → edit post to say "Link in comments."

Vulnerability Guidelines

Share when: The experience taught something others can learn, you've processed it enough to offer perspective, it serves the reader.

Don't share when: The wound is still fresh, you're seeking sympathy not providing value.

Test before posting: Am I sharing to help others or to process my own feelings? Would I be comfortable if this went viral?

CTAs

TypeExample
Genuine question"What's the worst career advice you've received?"
Agreement check"Agree or disagree?"
Experience ask"Has this happened to you?"
Bookmark prompt"Save this for your next [situation]"

Avoid: "Comment YES if...", "Share this with 3 people", "Follow me for more" — engagement bait destroys trust.

Engagement Strategy

  • First hour: Respond to every comment, ask follow-up questions to extend conversations
  • Daily comments on others: Add insight, not just agreement — "Great post!" without substance builds nothing
  • Posting schedule: Tue–Thu 7–8 AM, 12 PM, or 5–6 PM; avoid posting >1x/day

Anti-Patterns

  • "I'm excited to announce..." (corporate speak)
  • Humblebrags disguised as lessons
  • Recycled viral formats (the Uber driver wisdom, the airport conversation)
  • Every. Sentence. As. Its. Own. Line. (when overused)
  • Hashtag stuffing (>5)
  • Engagement pods (LinkedIn detects and penalizes)

Pre-Posting Checklist

  • Hook: Would this stop MY scroll?
  • Focus: Is there ONE clear idea?
  • Value: Would I find this useful if someone else posted it?
  • Authenticity: Does this sound like me, not "LinkedIn me"?
  • Format: Short paragraphs, scannable with line breaks?
  • CTA: Genuine engagement question (not bait)?
  • Links: External links in comments, not the main post?

References

  • references/hooks.md — Complete hook patterns with examples
  • references/scoring_framework.md — Detailed profile scoring criteria
  • references/metrics_benchmarks.md — Industry benchmarks for SSI, engagement, growth
  • assets/profile_audit_template.md — Complete audit report template
  • assets/quick_review_template.md — Rapid assessment checklist
  • assets/action_plan_template.md — 30-60-90 day roadmap template

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 AI skill do?

LinkedIn profile optimization and content creation. Use when auditing or optimizing a LinkedIn profile, writing LinkedIn posts, developing thought leadership content, building personal brand on LinkedIn, analyzing SSI score, improving profile visibility, or crafting hooks and engagement strategy for LinkedIn.

Why use Linkedin on TypingMind?

Because you install it once and use it with any model. Linkedin 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 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/manojbajaj95/claude-gtm-plugin/tree/main/skills/linkedin. 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?

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?

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

Is the Linkedin AI skill free?

Yes. It is published on GitHub by manojbajaj95 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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