ads-landing SKILL.md skillA

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

Install it, pinned
mdr add naveedharri/benai-skills/ads-landing@git:20260916.a3b1e15

Pins git:20260916.a3b1e15 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
naveedharri/benai-skills
Path
plugins/all-skills/skills/ads-landing/SKILL.md
Versions recorded
2
Latest version
git:20260916.a3b1e15, committed Sep 16, 2026
First version recorded
Jun 27, 2026
Size
5,994 bytes
Repository stars
78
License
MIT

Landing page quality assessment for paid advertising campaigns. Evaluates message match, page speed, mobile experience, trust signals, form optimization, and conversion rate potential. Use when user says "landing page", "post-click experience", "landing page audit", "conversion rate", or "landing page optimization".

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

# Landing Page Quality for Ad Campaigns

## Process

1. Collect landing page URLs from active ad campaigns
2. Read `ads/references/benchmarks.md` for conversion rate benchmarks
3. Read `ads/references/conversion-tracking.md` for pixel/tag verification
4. Assess each landing page for ad-specific quality factors
5. Score landing pages and identify improvement opportunities
6. Generate recommendations prioritized by conversion impact

## Message Match Assessment

The #1 landing page issue in ad campaigns — does the page match the ad?

### What to Check
- **Headline match**: landing page H1 reflects ad copy headline/keyword
- **Offer match**: promoted offer (price, discount, trial) is visible above fold
- **CTA match**: landing page CTA matches ad's promised action
- **Visual match**: consistent imagery between ad creative and page
- **Keyword match**: search keyword appears naturally in page content

### Message Match Scoring
| Level | Description | Score |
|-------|-------------|-------|
| Exact match | Headline, offer, CTA all align perfectly | 100% |
| Partial match | Headline matches but offer/CTA differs | 60% |
| Weak match | Generic page, loosely related to ad | 30% |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add naveedharri/benai-skills/ads-landing@sha256:69c75b9961aab17e

The line at the top of this page pins the label git:20260916.a3b1e15, 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_2j3heoyif46zrl6b.svg)](https://markdownregistry.com/a/art_2j3heoyif46zrl6b)

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

Versions

The registry has recorded 2 versions of this file, between Jun 27, 2026 and Sep 16, 2026, about one every 81 days.

versioncommittedcommitsizeaudit
git:20260916.a3b1e15 latest2026-09-16 a3b1e15 5,994 BA view · diff
git:20260627.94fdd8b2026-06-27 94fdd8b 5,963 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 (5994 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

naveedharri/benai-skills · 78 stars · license MIT · pushed 2026-10-09 · branch develop

API

GET https://markdownregistry.com/api/v1/artifacts/art_2j3heoyif46zrl6b
GET https://markdownregistry.com/api/v1/resolve?ref=naveedharri/benai-skills/ads-landing
GET https://markdownregistry.com/api/v1/blob/69c75b9961aab17e842a14fe056119b4b06a7680712f76081665ec797ac0636f

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 naveedharri/benai-skills

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