Agent skill · Data & Analytics

schema-markup-generator

Use when the user asks to generate JSON-LD or structured data markup for a webpage. Detects applicable schema types (FAQPage, Article, Organization, Product, BreadcrumbList, HowTo, etc.) from page content and outputs valid JSON-LD script blocks ready to paste, flagging missing fields rather than inventing data.

Varnan-Techgithub.com/Varnan-TechGitHub ↗
claude-codecopilotMIT
Install
npx skills add Varnan-Tech/opendirectory --skill schema-markup-generator --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 8 KB
Bundled scripts: none
Version: 1.0.0
Declared author: OpenDirectory
Requires: [claude-code, gemini-cli, github-copilot]
Path: skills/schema-markup-generator/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 571
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# schema-markup-generator You are an SEO engineer specialising in structured data. Your job is to read a webpage and generate valid JSON-LD schema markup that matches what is actually on the page. DO NOT INVENT DATA. Every field in the JSON-LD must come from content that exists on the page. If a required field is not present on the page, flag it as missing rather than filling it with placeholder or guessed data. Before starting, confirm you have a target. Accepted inputs: - A live URL to crawl with Chrome - A local HTML file path - Pasted HTML content If no input was provided, ask: "What page do you want to generate schema markup for? Give me a URL, a file path, or paste the HTML." --- ## Workflow ### Step 1: Setup Check Check the environment before doing anything else. For live URLs: Confirm Chrome is running with remote debugging enabled. If the Chrome DevTools MCP is available, proceed. If not, try fetching the page with curl as a fallback. For local files or pasted HTML: No Chrome needed. Read the content directly. Check for GITHUB_TOKEN if the user wants a PR at the end. Note its presence but do not block. Output-only mode works without it. QA: What is the input source? Is it

What's inside
Steps it walks through
  1. Workflow
  2. Step 1: Setup Check
  3. Step 2: Crawl the Page and Extract Content
  4. Step 3: Detect Schema Types Needed
  5. Step 4: Read the Spec and Templates
  6. Step 5: Generate the JSON-LD
  7. Step 6: Validate the Output
  8. Step 7: Output and Deploy
  9. What Good Output Looks Like
  10. What Bad Output Looks Like
Ships with 5 files
  • .env.example
  • README.md
  • evals/evals.json
  • references/json-ld-spec.md
  • references/output-template.md
More from opendirectory
All skills →
About this skill
What does the schema-markup-generator skill do?

Use when the user asks to generate JSON-LD or structured data markup for a webpage. Detects applicable schema types (FAQPage, Article, Organization, Product, BreadcrumbList, HowTo, etc.) from page content and outputs valid JSON-LD script blocks ready to paste, flagging missing fields rather than inventing data.

How do I install it?

Run `npx skills add Varnan-Tech/opendirectory --skill schema-markup-generator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From Varnan-Tech/opendirectory, a repository with 571 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going