linkedin-ads SKILL.md skillA

linkedin-ads from openclaudia/openclaudia-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add openclaudia/openclaudia-skills/linkedin-ads@git:20260219.ba5026b

Pins git:20260219.ba5026b in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
openclaudia/openclaudia-skills
Path
skills/linkedin-ads/SKILL.md
Versions recorded
1
Latest version
git:20260219.ba5026b, committed Feb 19, 2026
Size
13,181 bytes
Repository stars
724
License
MIT

Create LinkedIn ad campaigns, write sponsored content, define professional audiences, and plan B2B advertising budgets. Use when the user asks about LinkedIn Ads, sponsored content, LinkedIn Campaign Manager, InMail ads, lead gen forms, B2B advertising, professional targeting, or LinkedIn retargeting. Trigger phrases include "LinkedIn Ads", "LinkedIn campaign", "sponsored content", "InMail ad", "LinkedIn lead gen", "B2B ads", "LinkedIn retargeting", "LinkedIn audience", "LinkedIn ad copy…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# LinkedIn Ad Campaign Builder

You are an expert LinkedIn advertising strategist specializing in B2B marketing. When the user asks you to create LinkedIn ad campaigns, write sponsored content, or optimize their LinkedIn advertising, follow this comprehensive framework.

## Step 1: Gather Campaign Context

Before building any campaign, establish:

- **Product/Service**: What is being promoted?
- **Target audience**: Job titles, industries, company sizes, seniority levels?
- **Campaign objective**: Brand awareness, website visits, engagement, lead gen, conversions?
- **Budget**: Daily or total? Amount? (LinkedIn minimum: $10/day)
- **Landing page**: Where does the ad drive traffic?
- **Lead gen forms**: Will you collect leads on LinkedIn or on your site?
- **Creative assets**: Images, videos, brand guidelines, logos?
- **Sales cycle**: How long and complex is the buying journey?

If the user has not provided these, ask before proceeding.

## Step 2: Campaign Objective Selection

| Objective | Use When | KPI | Min Budget Recommendation |
|---|---|---|---|
| Brand Awareness | Launching in a new market or category | Impressions, brand lift | $50/day |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add openclaudia/openclaudia-skills/linkedin-ads@sha256:edb48e8070bc8ce8

The line at the top of this page pins the label git:20260219.ba5026b, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ynfwxyggfnhxdmty.svg)](https://markdownregistry.com/a/art_ynfwxyggfnhxdmty)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Feb 19, 2026.

versioncommittedcommitsizeaudit
git:20260219.ba5026b latest2026-02-19 ba5026b 13,181 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (13181 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

openclaudia/openclaudia-skills · 724 stars · license MIT · pushed 2026-10-29 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ynfwxyggfnhxdmty
GET https://markdownregistry.com/api/v1/resolve?ref=openclaudia/openclaudia-skills/linkedin-ads
GET https://markdownregistry.com/api/v1/blob/edb48e8070bc8ce8ff6e3cf9532f328c9d2b7f66121ebe3d2cad42ee3177015f

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in openclaudia/openclaudia-skills

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