SEO Geo
ReScienceLab/opc-skills
SEO & GEO (Generative Engine Optimization) for websites. An agent skill from ReScienceLab/opc-skills.
Generate JSON-LD structured data for AEM Edge Delivery Services pages.
$ npx skills add adobe/skills --skill structured-data -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install adobe/skills structured-data --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/adobe/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/aem/edge-delivery-services-content-ops/skills/structured-data .claude/skills/structured-data && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "structured-data" agent skill from https://github.com/adobe/skills/tree/main/plugins/aem/edge-delivery-services-content-ops/skills/structured-data into .claude/skills/structured-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structured-data", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/adobe/skills/tree/main/plugins/aem/edge-delivery-services-content-ops/skills/structured-dataType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add adobe/skills --skill structured-data -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install adobe/skills structured-data --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/adobe/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/aem/edge-delivery-services-content-ops/skills/structured-data .agents/skills/structured-data && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "structured-data" agent skill from https://github.com/adobe/skills/tree/main/plugins/aem/edge-delivery-services-content-ops/skills/structured-data into .agents/skills/structured-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structured-data", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add adobe/skills --skill structured-data -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install adobe/skills structured-data --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/adobe/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/aem/edge-delivery-services-content-ops/skills/structured-data .cursor/skills/structured-data && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "structured-data" agent skill from https://github.com/adobe/skills/tree/main/plugins/aem/edge-delivery-services-content-ops/skills/structured-data into .cursor/skills/structured-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structured-data", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/adobe/skills.git --path plugins/aem/edge-delivery-services-content-ops/skills/structured-data--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add adobe/skills --skill structured-data -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install adobe/skills structured-data --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/adobe/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/aem/edge-delivery-services-content-ops/skills/structured-data .gemini/skills/structured-data && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "structured-data" agent skill from https://github.com/adobe/skills/tree/main/plugins/aem/edge-delivery-services-content-ops/skills/structured-data into .gemini/skills/structured-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structured-data", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install adobe/skills structured-dataInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add adobe/skills --skill structured-data -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/adobe/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/aem/edge-delivery-services-content-ops/skills/structured-data .github/skills/structured-data && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "structured-data" agent skill from https://github.com/adobe/skills/tree/main/plugins/aem/edge-delivery-services-content-ops/skills/structured-data into .github/skills/structured-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structured-data", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add adobe/skills --skill structured-data -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install adobe/skills structured-data --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/adobe/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/aem/edge-delivery-services-content-ops/skills/structured-data .opencode/skills/structured-data && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "structured-data" agent skill from https://github.com/adobe/skills/tree/main/plugins/aem/edge-delivery-services-content-ops/skills/structured-data into .opencode/skills/structured-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "structured-data", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
structured-dataGenerate JSON-LD structured data for AEM Edge Delivery Services pages.
Structured Data is an agent skill from adobe/skills. Generate JSON-LD structured data for AEM Edge Delivery Services pages. Analyzes page content and metadata to determine the appropriate schema.org types, extracts relevant properties, and produces validated JSON-LD snippets ready for implementation in head.html or scripts.js. Use when adding rich results support, improving search appearance, or auditing existing structured data.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `CHANGELOG.md`, `package.json` and `references/structured-data-reference.md`).
It sits in Marketing & SEO, covering Schema markup. It works with Adobe Experience Manager. The repository describes itself as: Adobe Skills for Agents. The licence is Apache-2.0.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit cbc9952. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are json, html and javascript).
From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
schema.orgAlso links to:
search.google.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Structured Data loads about 2.1k tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 99 tokens; SKILL.md has 768 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from adobe/skills at commit cbc9952, republished under its Apache-2.0 licence (© adobe). 768 words, ~2,056 tokens.
.claude/skills/structured-data/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Analyze AEM Edge Delivery Services page content, determine the most appropriate schema.org types, and generate complete JSON-LD snippets with all required and recommended properties filled from actual page content. Provides implementation guidance specific to the EDS architecture.
This skill fetches external web pages for analysis. When fetching:
.plain.html).In EDS, authored content lives in Google Docs or Microsoft Word. Structured data cannot be placed in the source document -- it must be added to the project code via one of two paths:
<head>. Use for site-wide schemas (Organization, WebSite with SearchAction).<meta> tags and injects <script type="application/ld+json"> at runtime.The metadata table is a two-column table at the bottom of the source document with key-value pairs (e.g., template, og:image, description, schema-type, author, publication-date).
Fetch the page at the URL the user provides. Retrieve both:
<meta> tags, <title>, and <head> content..plain.html -- to read the authored body content without site chrome. For root paths, use /index.plain.html.Determine the page type from content signals. See references/structured-data-reference.md for the content type signals table and metadata extraction sources.
If the content type is ambiguous, state your reasoning and suggest the most appropriate type.
Select the most specific schema.org type available. Consider adding BreadcrumbList based on URL path structure for any page.
Generate each type as a separate JSON-LD block. Fill every property from actual page content -- never use placeholder text. Omit properties where no data exists rather than guessing.
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "Getting Started with Edge Delivery Services",
"description": "Learn how to build and deploy your first site with Adobe Edge Delivery Services using document-based authoring.",
"image": "https://www.example.com/media/eds-getting-started-hero.jpg",
"datePublished": "2026-03-10T08:00:00-05:00",
"dateModified": "2026-04-22T14:30:00-05:00",
"author": {
"@type": "Person",
"name": "Alicia Moreno",
"url": "https://www.example.com/authors/alicia-moreno"
},
"publisher": {
"@type": "Organization",
"name": "Example Corp",
"logo": {
"@type": "ImageObject",
"url": "https://www.example.com/media/example-corp-logo.png"
}
},
"mainEntityOfPage": {
"@type": "WebPage",
"@id": "https://www.example.com/blog/getting-started-with-eds"
}
}Check that: required properties for the type are present (per Google's rich results requirements); all URLs are absolute; every value comes from actual page content; image paths exist on the site (check for /media/ paths in EDS); and content is consistent (headline matches the H1, description matches the meta description).
Report any issues and correct them. Recommend validating with Google's Rich Results Test after deployment.
Recommend head.html for site-wide schemas or scripts.js for page-specific schemas.
Place the JSON-LD directly in head.html at the repository root:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Example Corp",
"url": "https://www.example.com",
"logo": "https://www.example.com/media/example-corp-logo.png"
}
</script>Generate and inject JSON-LD at runtime based on page metadata:
function addStructuredData() {
const meta = (name) => document.querySelector(`meta[name="${name}"]`)?.content;
const schemaType = meta('schema-type');
if (!schemaType) return;
const jsonLd = {
'@context': 'https://schema.org',
'@type': schemaType,
headline: document.querySelector('h1')?.textContent,
description: meta('description'),
image: meta('og:image'),
datePublished: meta('publication-date'),
dateModified: meta('modified-date'),
author: meta('author') ? { '@type': 'Person', name: meta('author') } : undefined,
mainEntityOfPage: { '@type': 'WebPage', '@id': window.location.href },
};
// Remove undefined values
Object.keys(jsonLd).forEach((key) => jsonLd[key] === undefined && delete jsonLd[key]);
const script = document.createElement('script');
script.type = 'application/ld+json';
script.textContent = JSON.stringify(jsonLd);
document.head.appendChild(script);
}
addStructuredData();Tell the user which approach fits their case and what metadata properties to add to their source document.
Present the complete, validated JSON-LD in a code block, ready to copy. If multiple types were generated, present each separately and label them.
State the implementation path (head.html vs scripts.js) and any metadata table additions the author should make.
If the page already has structured data (existing <script type="application/ld+json">), note what exists and whether the new snippet should replace or supplement it.
See references/structured-data-reference.md for troubleshooting common issues.
schema-type, author, publication-date) to drive structured data generation from within the document.© adobe, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (references) in plugins/aem/edge-delivery-services-content-ops/skills/structured-data of adobe/skills.
Open the folder on GitHubat commit cbc9952
Structured Data next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Structured Data this skilladobe/skills | 195 | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| SEO GeoReScienceLab/opc-skills | 1.8k | 4 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| GEO-First SEO Audit Toolzubair-trabzada/geo-seo-claude | 11k | — | ~2.8k | Automated safety check: Notes | MIT | |
| SEO Audit with Search Consolenowork-studio/notfair-plugin | 3.9k | 1 repos | ~15k | Automated safety check: Warn | MIT | |
| Schema Markupfreekmurze/dotfiles | 1k | 14 repos | ~1.2k | Automated safety check: Pass | None | |
| SEO Optimizerailabs-393/ai-labs-claude-skills | 454 | 1 repos | ~3.2k | Automated safety check: Pass | MIT |
ReScienceLab/opc-skills
SEO & GEO (Generative Engine Optimization) for websites. An agent skill from ReScienceLab/opc-skills.
zubair-trabzada/geo-seo-claude
Audits a website for AI search visibility across ChatGPT, Claude, Perplexity and Google AI Overviews while checking traditional SEO, schema and E-E-A-T content quality.
nowork-studio/notfair-plugin
Runs a full SEO audit that combines Google Search Console, URL Inspection, PageSpeed Insights and a technical crawl, then ranks quick wins and a 30-day plan.
freekmurze/dotfiles
When the user wants to add, fix, or optimize schema markup and structured data on their site.
ailabs-393/ai-labs-claude-skills
This skill should be used when analyzing HTML/CSS websites for SEO optimization, fixing SEO issues, generating SEO reports, or implementing SEO best practices.
liangdabiao/GEO-Content-Optimizer-Skill
完整的 GEO(生成式引擎优化)服务流水线:给一个产品官网 URL 和介绍材料, 做站点诊断与 AI 答案采样、生成带验收标准的执行工单、产出可直接部署的资产 (llms.txt / JSON-LD / 定义块 / FAQ / 内容大纲与初稿)、自动验收工单是否闭环、 并打包成可直接发给客户的交付物。可按周期复跑,做长期 GEO 运营与月报。
adobe/skills
Scaffolds, implements, deploys and debugs Adobe Runtime actions in App Builder projects, with templates for webhooks, events, database CRUD, sequences and Asset Compute workers.
adobe/skills
Launches Chrome with an unpacked extension over CDP, opens its sidepanel, popup or options page, and hands over to cdp-connect for clicks, typing and screenshots.
adobe/skills
Extracts icons, metadata, text, forms, videos and social links from any web page with playwright-cli, with SVG icon classification and cleanup.
adobe/skills
Detect all languages used on a webpage — both declared (html@lang, hreflang alternate links, nested lang= attributes, meta content-language) and actually present in the body text (Google CLD3 via…
adobe/skills
Prepare any webpage for clean interaction by detecting and removing disruptive overlays (cookie banners, GDPR consent, modals, popups, newsletter signups, paywalls, login walls).
adobe/skills
Reduce a webpage to a structural skeleton with semantic tokens.
Works with
Categories
Generate JSON-LD structured data for AEM Edge Delivery Services pages. Structured Data is an agent skill from adobe/skills. Generate JSON-LD structured data for AEM Edge Delivery Services pages.
Structured Data fits situations like: adding rich results support; improving search appearance; auditing existing structured data.
Run `npx skills add adobe/skills --skill structured-data -a claude-code`. Or copy the skill folder (plugins/aem/edge-delivery-services-content-ops/skills/structured-data in adobe/skills) into .claude/skills/structured-data in your project. Claude Code loads it when a task matches its description.
Run `npx skills add adobe/skills --skill structured-data -a codex`. Or copy the skill folder (plugins/aem/edge-delivery-services-content-ops/skills/structured-data in adobe/skills) into .agents/skills/structured-data in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add adobe/skills --skill structured-data -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/structured-data, .gemini/skills/structured-data, .github/skills/structured-data and .opencode/skills/structured-data in your project.
SKILL.md names no scripts, command-line tools or credentials: Structured Data is instructions for the agent only.
SKILL.md names 2 domains. In commands or code: schema.org; the agent is likely to contact it when it follows the instructions. As links in the text: search.google.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Structured Data is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.1k tokens (SKILL.md is roughly 8.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 858 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Structured Data: SEO Geo (ReScienceLab/opc-skills, 1.8k stars), GEO-First SEO Audit Tool (zubair-trabzada/geo-seo-claude, 11k stars), SEO Audit with Search Console (nowork-studio/notfair-plugin, 3.9k stars) and Schema Markup (freekmurze/dotfiles, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
adobe (a GitHub organization) maintains it in adobe/skills, which has 195 GitHub stars. The repository holds 105 skills in this directory. The repository was last updated on October 6, 2026.
Source: adobe/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.