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linkedin-ads

linkedin-ads is a skill for Claude Code from brainbytes-dev/everything-claude-marketing. It costs 29 tokens per session (3,354 once invoked), scanned A, original, MIT.

A strategy guide for LinkedIn advertising, including campaigns aimed at business professionals, companies, customers, or potential hires.

In plain words
What is it for?
Use it for business lead generation, brand awareness, account-based marketing, recruitment, employer branding, and campaign optimisation.
Why use it?
It helps define the audience, campaign goal, budget, offer, and tracking before spending money on LinkedIn ads.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the everything-claude-marketing plugin — 72 skills, 22 commands, 18 agents, 2 hooks shipped together

not rated 10repo +1 7mo ago A scan 29 tokens original MIT

Good fit Use it for business lead generation, brand awareness, account-based marketing, recruitment, employer branding, and campaign optimisation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/brainbytes-dev/everything-claude-marketing/linkedin-ads
View source ↗ brainbytes-dev/everything-claude-marketing
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add brainbytes-dev/everything-claude-marketing --skill linkedin-ads
Clone the repo
git clone --depth 1 https://github.com/brainbytes-dev/everything-claude-marketing

Made for: Claude Code.

Or install everything-claude-marketing, the plugin that ships this one along with the rest of its 72 skills, 22 commands, 18 agents, 2 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for linkedin-ads

README.md
[![agentmods](https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/linkedin-ads/github.svg)](https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/linkedin-ads)
Your own site
<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/linkedin-ads"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/linkedin-ads/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for linkedin-ads

Your own site · 80×15
<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/linkedin-ads"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/linkedin-ads.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,354 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00029 $0.03354
Opus 5.5 $0.00012 $0.01342
Sonnet 5.5 $0.00006 $0.00671
Haiku 4.5 $0.00003 $0.00335

Measured 2mo ago against content hash f4715a6fa48e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

linkedin-ads scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/paid-ads/linkedin-ads/SKILL.md · 280 lines

How it starts

The opening of the file, as written. The whole thing — 280 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LinkedIn Ads Strategy

When to Activate

Use this skill when:

  • Setting up LinkedIn advertising campaigns
  • Targeting B2B audiences by job title, company, industry, or skills
  • Creating lead generation campaigns with lead gen forms
  • Running account-based marketing (ABM) campaigns
  • Choosing between LinkedIn ad formats
  • Optimizing LinkedIn ad spend (typically expensive — efficiency matters)
  • Running recruitment or employer brand campaigns

First Questions

Before building LinkedIn campaigns, clarify:

  1. What is the campaign objective? (Lead gen, brand awareness, website traffic, recruitment)
  2. Who is the target audience? (Job titles, seniority, company size, industry)
  3. What is the monthly budget? (LinkedIn CPCs are $5-15+. Budget determines viability.)
  4. What is the target cost per lead? (LinkedIn CPLs are typically $50-200+)
  5. What is the offer? (Content download, demo request, free trial, event registration)
  6. Is the LinkedIn Insight Tag installed on the website?
  7. What creative assets are available? (Images, documents, videos)
  8. Is this ABM (targeting specific companies) or broad B2B targeting?

Core Rules

  1. LinkedIn is expensive. Make every click count. CPCs of $5-15 mean landing pages must convert well and leads must be qualified.
  2. Lead gen forms outperform landing pages on LinkedIn. LinkedIn auto-fills form fields = higher conversion rates (but sometimes lower lead quality).
  3. Targeting is LinkedIn's superpower. Job title + company size + industry targeting is unmatched on any other platform.
  4. Educational content outperforms sales pitches. B2B buyers research before they buy. Lead with value.
  5. Company page followers are cheap to acquire and valuable long-term. Follower campaigns build an organic audience.
  6. Test audience size. LinkedIn's algorithm needs an audience of 50,000+ to optimize effectively.
  7. Creative matters more than you think. Even on "professional" LinkedIn, eye-catching creative wins.
  8. Retargeting is where the ROI is. First-touch LinkedIn ads warm up audiences; retargeting converts them.

Read the full file on GitHub · 280 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 280 lines · 29 tokens per session scan A f4715a6fa48e

Subscribe to this mod's changes

linkedin-ads is a skill published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 29 tokens to every session and 3,354 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Marketing and SEO
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linkedin-ads compared with skills from other repositories

linkedin-ads next to 6 skills from other repositories
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