When the user wants to add or optimize Open Graph metadata for social sharing. Also use when the user mentions "Open Graph," "og:tags," "og:title," "og:image," "og:description," "Facebook preview," "LinkedIn preview," or "social share preview." For X (Twitter) link previews, use twitter-cards. For SERP title/description, use title-tag and meta-description.
npx skills add https://github.com/kostja94/marketing-skills --skill open-graph
Guides implementation of Open Graph meta tags for social media previews (Facebook, LinkedIn, Slack, Discord, etc.). Pages with proper OG tags get 2–3× more clicks than bare URL links.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Every shareable page requires these minimum tags:
<meta property="og:title" content="Your Page Title">
<meta property="og:description" content="Your description">
<meta property="og:image" content="https://yourdomain.com/image.png">
<meta property="og:url" content="https://yourdomain.com/page">
| Tag | Guideline |
|-----|-----------|
| og:title | Keep under 60 chars; compelling; match page content |
| og:description | 150–200 chars; conversion-focused |
| og:image | Absolute URL (https://); 1200×630px recommended |
| og:url | Canonical URL; deduplicates shares |
| Tag | Purpose |
|-----|---------|
| og:type | Content type: website, article, video, product |
| og:site_name | Website name; displayed separately from title |
| og:image:width / og:image:height | Image dimensions (1200×630px) |
| og:image:alt | Alt text for accessibility |
| og:locale | Language/territory (e.g., en_US); for multilingual sites |
| Item | Guideline |
|------|-----------|
| Size | 1200×630px (1.91:1 ratio) for Facebook, LinkedIn, WhatsApp |
| Format | JPG, PNG, WebP; under 5MB |
| URL | Absolute URL with https://; no relative paths |
| Unique | One unique image per page when possible |
export const metadata = {
openGraph: {
title: '...',
description: '...',
url: 'https://example.com/page',
siteName: 'Example',
images: [{ url: 'https://example.com/og.jpg', width: 1200, height: 630, alt: '...' }],
locale: 'en_US',
type: 'website',
},
};
<meta property="og:title" content="Your Title">
<meta property="og:description" content="Your description">
<meta property="og:image" content="https://example.com/og.jpg">
<meta property="og:url" content="https://example.com/page">
<meta property="og:type" content="website">
<meta property="og:site_name" content="Your Site">
<meta property="og:image:width" content="1200">
<meta property="og:image:height" content="630">
<meta property="og:image:alt" content="Alt text">
article for article/post pages; article-specific tags (published_time, author)Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
Downloads videos from YouTube and other platforms for offline viewing, editing, or archival. Handles various formats and quality options.
Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.
Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
Take kostja94/open-graph from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.