Linkedin Ads

CommunityPopular

kostja94

linkedin-ads

When the user wants to set up, optimize, or manage LinkedIn Ads. Also use when the user mentions "LinkedIn Ads," "LinkedIn Campaign Manager," "Sponsored Content," "Lead Gen Forms," "Sponsored Messaging," "Message Ads," "Conversation Ads," "Accelerate," "Classic ad set," "Audience Network," "objective-based pricing," "Insight Tag," "job title targeting," "company targeting," "Matched Audiences," or "B2B paid ads." For organic posts, use linkedin-posts.

Overview

Publisher	kostja94
Repository	`marketing-skills`
Skill name	`linkedin-ads`
Stars	1K
Forks	139
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by kostja94 on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/kostja94/marketing-skills/tree/main/skills/paid-ads/platforms/linkedin-ads
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/kostja94/marketing-skills/tree/main/skills/paid-ads/platforms/linkedin-ads

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/kostja94/marketing-skills.git /tmp/marketing-skills
mkdir -p .claude/skills
cp -r /tmp/marketing-skills/skills/paid-ads/platforms/linkedin-ads .claude/skills/linkedin-ads

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Linkedin Ads 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 Ads 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 Ads 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.

Paid Ads: LinkedIn Ads

Guides LinkedIn Ads setup, targeting, and optimization. LinkedIn excels at B2B and professional targeting; use when job title/company targeting matters and ACV is higher.

When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Account and product context

Campaign Manager is the main UI: campaignmanager.linkedin.com · Get started (help)
Marketing Solutions = ads for brands/leads; Talent Solutions = hiring products (separate when choosing objectives).
Sponsored Content in-feed and Sponsored Messaging generally require a free LinkedIn Page (per official getting-started guidance—confirm in your account).
Review: build at least ~1–2 days before go-live; last-minute changes may miss launch. Ad set best practices

Campaign structure (naming and hierarchy)

Naming (example): LI_[Objective]_[Audience]_[Offer]_[Date] (e.g. LI_LeadGen_CMOs-SaaS_Whitepaper_Mar24)

Hierarchy in Campaign Manager (names vary slightly over time):

Level	Role
Campaign group	Groups related programs; shared status and budgets (optional).
Campaign	Marketing objective; budget/scheduling as configured.
Ad set	Accelerate or Classic; audience, placements, format, budget, schedule, bid; conversion/URL params. Compare types
Ads	Creative; multiple ads per ad set for A/B.

Billing model: Objective-based pricing — billed on the action tied to the objective (e.g. clicks for traffic-oriented objectives). Pricing overview

Budget pacing: Auction-based; on daily budgets, spend on a day may exceed the daily number by a margin; pacing smooths so 7-day spend does not exceed about 7× daily (per LinkedIn’s public budget article—always confirm the latest text). Budgets and pacing

Minimum spend: There is no one global fixed minimum across all cases; very low daily/lifetime budgets are often rejected in UI. A common practical floor cited in the industry is on the order of ~$10 USD/day per ad set (not a platform guarantee). Use Campaign Manager as source of truth.

Marketing objectives (funnel, abbreviated)

Funnel	Example objectives (names evolve—pick in UI)	Typical use
Awareness	Brand awareness	Broad reach
Consideration	Website visits, Engagement, Video views	Traffic, company/page engagement, video
Conversion	Lead generation, Website conversions	Leads, Lead Gen Forms, on-site events
Talent	Job applicants, Talent leads (where eligible)	Hiring

Full list: Marketing objectives

Ad formats and placements (high level)

Ads Guide (authoritative for specs)

Lead Gen Forms

Native forms on ads; profile pre-fill; typically ~12 fields and ~3 custom questions at most (verify current product)
Minimize fields for higher completion; sync to CRM/Marketing automation

Type	Notes
Message Ads	One focused message + CTA; body often ~1,500 characters in product docs (check Ads Guide)
Conversation Ads	Branching buttons; long body allowance (often ~8,000 characters in docs); up to ~5 CTA buttons (check guide)

Text and Dynamic Ads

Text ads: Desktop-oriented; small image + text; often CPC/CPM. Placements (help)
Dynamic / Follower / Spotlight variants: personalized right-rail; see Ads Guide

Tracking

Insight Tag for site retargeting and conversion lift · Conversion tracking hub
UTM/URL parameters: URL tracking parameters

Targeting strengths

Signal	Use
Job title, function, seniority	ICP and committees
Company	Industry, size, name lists (ABM)
Skills, interests, groups	Technical or topical
Matched Audiences	Contact/company lists, retargeting (Insight Tag)
Exclusions, expansion	Audience expansion (when offered)—broaden carefully

Lookalike audiences: As of current LinkedIn public documentation, Lookalike is not the default expansion path; it has been deprecated/removed in many accounts—rely on first-party lists, Matched Audiences, and exclusion/expansion options shown in the UI. See Target audience size / practices and the live Campaign Manager for your tenant.

Principle: LinkedIn is expensive; start narrow, high-intent; then scale with measured expansion.

Audience size: A common operational band mentioned in industry is hundreds+ in targetable size; the UI will warn if the audience is too small—follow it.

Creative best practices

Professional tone; align Sponsored copy with your Page and organic voice (linkedin-posts)
Headline + first line clear value; match landing experience
Lead Gen Forms: fewer fields; clear next step for SDRs
Document ads: gating a PDF/deck; pair with a strong CTA
Creative limits: e.g. image ~5MB and ~1200×627 in many specs—always take from Ads Guide for the format you use

Benchmark costs (illustrative, not guaranteed)

LinkedIn is typically higher CPC/CPM than Meta and Google in comparable B2B use cases. Third-party ranges (USD, very rough) often cite e.g. CPC ~$5–8 as a ballpark middle; real costs swing with audience, CTR, quality, and season. Never use these as a commitment—use in-account reporting. Why pricing varies
CTR for feed is often well under ~1% in reported benchmarks; optimize creative and ICP, not the benchmark alone

Bidding (short)

Start with strategies appropriate to the objective; move to automated/goal-based when enough weekly conversions exist for the system to learn
Manual caps help when volume is too low to automate

Pre-launch checklist

Insight Tag (if site conversions/retargeting) · Lead routing to CRM if using LGF
Page and billing ready; naming at group/campaign/ad set level
Objective and ad set type (Accelerate vs Classic) set intentionally
Audience defined; exclusions for existing customers (where needed)
Creatives meet policy; UTMs for non-LGF web flows
Budget realistic for the account’s CPM/CPC; pacing understood

Related Skills

linkedin-posts: Organic formats and copy; align Sponsored with same patterns
paid-ads-strategy: Channel mix; B2B vs B2C; budget allocation
landing-page-generator: Web LPs for non–Lead Gen Form flows
analytics-tracking: Attribution, ROAS, pipeline

Official link index

Topic	URL
Ads Guide (formats)	https://business.linkedin.com/advertise/ads/ads-guide
Pricing and auction	https://business.linkedin.com/advertise/ads/pricing
Create campaigns	https://www.linkedin.com/help/lms/answer/a9509136
Objectives	https://www.linkedin.com/help/lms/answer/a424570
Placements (Text ads, etc.)	https://www.linkedin.com/help/lms/answer/a417880
Targeting options	https://www.linkedin.com/help/lms/answer/a424655
LMS help home	https://www.linkedin.com/help/lms
Get started (what you need)	https://business.linkedin.com/advertise/ads/best-practices/what-you-need-to-get-started

Frequently asked questions

What does the Linkedin Ads AI skill do?

Why use Linkedin Ads on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kostja94/marketing-skills/tree/main/skills/paid-ads/platforms/linkedin-ads. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Linkedin Ads?

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 Ads?

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

Is the Linkedin Ads AI skill free?

Yes. It is published on GitHub by kostja94 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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Linkedin Ads

Overview