seo-discover
Google Discover optimization, Media RSS XML feed generation, and First-Exposure AI Editorial Byline disclosure protocol for high-traffic editorial reach.
Skill by SEO Skills AI
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/jwitcoski-seo-discover
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About
Use cases: marketing
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What's inside
- Skill name
seo-discover- Description
- Google Discover optimization, Media RSS XML feed generation, and First-Exposure AI Editorial Byline disclosure protocol for high-traffic editorial reach.
- License
- MIT
- Metadata
- author: SEO Skills AI · version: 1.2.0
- Instructions
- 61 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Google Discover, Media RSS & AI Disclosure Standard
This skill establishes the protocol for maximizing Google Discover traffic via high-resolution image signaling, Media RSS XML syndication, and transparent AI editorial disclosure bylines.
---
## 📸 1. Google Discover Technical Prerequisites
1. **Meta Robots Directive:**
Every page `<head>` must include:
```html
<meta name="robots" content="index, follow, max-image-preview:large, max-snippet:-1, max-video-preview:-1" />
```
`max-image-preview:large` enables Google Discover to display high-resolution 16:9 thumbnails, increasing click-through rates by up to **300%**.
2. **Image Dimensions:**
Featured images must be at least **1200px wide** with a **16:9 aspect ratio** (e.g. `1200x675` or `1600x900`).
---
## 📰 2. Media RSS Syndication Engine
Standard RSS feeds only deliver text. Google Discover and feed aggregators prioritize feeds with explicit Media RSS `<media:content>` enclosures.
```xml
<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
xmlns:content="http://purl.org/rss/1.0/modules/content/"
xmlns:media="http://search.yahoo.com/mrss/"
xmlns:dc="http://purl.org/dc/elements/1.1/">
<channel>
<title>Site Name — Verified Articles</title>
<link>https://example.com/</link>
<item>
<title>Article Title</title>
<link>https://example.com/article-slug/</link>
<pubDate>Wed, 19 Aug 2026 00:00:00 GMT</pubDate>
<media:content
url="https://example.com/images/feature.jpg"
medium="image"
type="image/jpeg"
width="1200"
height="675">
<media:title>Feature Image</media:title>
<media:credit>Editorial Staff</media:credit>
</media:content>
</item>
</channel>
</rss>
```
---
## 🛡️ 3. First-Exposure AI Editorial Disclosure
Every article features a transparent editorial disclosure directly beneath the `H1`:
- **Human Verification:** Verified by named subject-matter experts.
- **AI Assistance:** Discloses algorithmic synthesis under human oversight.
- **Zero Hallucination Guarantee:** Facts and citations cross-checked against primary sources.From jwitcoski/globalskiatlas, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 30, 2026 (29 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.2.0
- License
- MIT
- Repository
- github.com/jwitcoski/globalskiatlas
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
seo-discover skill. Agent Mart. https://agentmart.dev/skills/jwitcoski-seo-discover (last updated 2026-10-24)