linkedin-content-strategy

linkedin-content-strategy is a skill for Claude Code from Ad-Superpowers/ad-superpowers-plugin. It costs 113 tokens per session (4,391 once invoked), scanned A, original, MIT.

A guide to choosing LinkedIn advertising formats and planning content for business audiences. It compares formats such as single images, carousels, video, and Thought Leader Ads, which promote an individual's professional viewpoint.

In plain words
What is it for?
Use it to compare LinkedIn ad formats, plan a business-to-business content funnel, and develop creative guidance for sponsored content.
Why use it?
It helps match an ad format and content approach to the campaign goal instead of choosing formats at random.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ad-superpowers plugin — 120 skills, 35 commands, 5 agents, 1 MCP server shipped together

Good fit Use it to compare LinkedIn ad formats, plan a business-to-business content funnel, and develop creative guidance for sponsored content.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ad-superpowers/ad-superpowers-plugin/linkedin-content-strategy
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 Ad-Superpowers/ad-superpowers-plugin --skill linkedin-content-strategy
Clone the repo
git clone --depth 1 https://github.com/Ad-Superpowers/ad-superpowers-plugin

Made for: Claude Code.

Or install ad-superpowers, the plugin that ships this one along with the rest of its 120 skills, 35 commands, 5 agents, 1 MCP server.

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-content-strategy

README.md
[![agentmods](https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/linkedin-content-strategy/github.svg)](https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/linkedin-content-strategy)
Your own site
<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/linkedin-content-strategy"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/linkedin-content-strategy/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-content-strategy

Your own site · 80×15
<a href="https://agentmods.dev/skills/ad-superpowers/ad-superpowers-plugin/linkedin-content-strategy"><img src="https://agentmods.dev/badge/skills/ad-superpowers/ad-superpowers-plugin/linkedin-content-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 113 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,391 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 $0.00113 $0.04391
Opus 5.5 $0.00045 $0.01756
Sonnet 5.5 $0.00023 $0.00878
Haiku 4.5 $0.00011 $0.00439

Measured 1mo ago against content hash 8d83e17e485e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

linkedin-content-strategy 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 1mo 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.

plugin/skills/linkedin-content-strategy/SKILL.md · 419 lines

How it starts

The opening of the file, as written. The whole thing — 419 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LinkedIn Ad Format Selection & Content Strategy

Purpose

Guide advertisers through LinkedIn's complex ad format landscape with data-driven format selection, B2B content funnel design, and format-specific creative optimization. The right format choice can improve performance by 2-4x; the wrong choice wastes budget on formats misaligned with the objective.

When to Use This Skill

Invoke when user mentions:

  • Format selection: "Which LinkedIn ad format should I use?"
  • Content strategy: "What content works best on LinkedIn?"
  • B2B funnel: "How do I build a content funnel on LinkedIn?"
  • Thought leadership: "How do I position as a thought leader via ads?"
  • Creative best practices: "What specs and guidelines for LinkedIn ads?"
  • Format comparison: "Carousel vs single image vs video on LinkedIn?"

Required Tools

Tool Purpose
linkedin_query Pull campaign data, ad formats, and creative configurations
linkedin_get_creatives_with_images Retrieve ad creatives with visual assets for analysis

Part 1: LinkedIn Ad Format Catalog

Format Overview with Performance Benchmarks

Format Avg CTR Avg CPM Avg CPC Best For Min Budget
Single Image 0.40-0.65% €25-50 €5-12 Lead gen, traffic, awareness €30/day
Carousel 0.35-0.55% €20-45 €6-14 Storytelling, product features €30/day
Video 0.30-0.50% €20-40 €7-15 Brand awareness, thought leadership €50/day
Document Ads 0.50-0.80% €15-35 €4-10 Gated content, education €30/day
Message Ads (InMail) 25-40% open rate N/A €0.50-1.50/send Direct outreach, events, high-value offers €50/day
Conversation Ads 40-60% open rate N/A €0.30-1.00/send Multi-path journeys, qualification (deprecated EU/EEA; being phased out globally) €50/day
Text Ads 0.02-0.05% €5-15 €3-8 Low-budget awareness, retargeting €10/day
Dynamic Ads 0.08-0.15% €10-25 €8-20 Follower growth, job applicants €25/day
Event Ads 0.45-0.70% €20-40 €5-12 Event registration, webinars €30/day

Read the full file on GitHub · 419 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. 1mo ago First seen · 419 lines · 113 tokens per session scan A 8d83e17e485e

Subscribe to this mod's changes

linkedin-content-strategy is a skill published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 29d ago), licensed MIT. It adds 113 tokens to every session and 4,391 once invoked, about $0.0005 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 2026-09-11.

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