Awesome-omni-skills seo-aeo-schema-generator

SEO-AEO Schema Generator workflow skill. Use this skill when the user needs Generates valid JSON-LD structured data for 10 schema types with rich result eligibility validation and implementation-ready script blocks. Activate when the user wants to generate schema markup, JSON-LD, or structured data for any page and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

install

source · Clone the upstream repo

git clone https://github.com/diegosouzapw/awesome-omni-skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/seo-aeo-schema-generator" ~/.claude/skills/diegosouzapw-awesome-omni-skills-seo-aeo-schema-generator && rm -rf "$T"

manifest: skills/seo-aeo-schema-generator/SKILL.md

SEO-AEO Schema Generator

Overview

This public intake copy packages

plugins/antigravity-awesome-skills-claude/skills/seo-aeo-schema-generator

from

https://github.com/sickn33/antigravity-awesome-skills

into the native Omni Skills editorial shape without hiding its origin.

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses

metadata.json

plus

ORIGIN.md

as the provenance anchor for review.

SEO-AEO Schema Generator

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Supported Schema Types, How It Works, Common Pitfalls, Limitations.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

Use when adding structured data to a new landing page or blog post
Use when a page needs FAQ rich results or product star ratings in search
Use when validating existing schema for Google rich result eligibility
Use after the content-quality-auditor flags missing schema
Use when the request clearly matches the imported source intent: Generates valid JSON-LD structured data for 10 schema types with rich result eligibility validation and implementation-ready script blocks. Activate when the user wants to generate schema markup, JSON-LD, or structured....
Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.

Operating Table

Situation	Start here	Why it matters
First-time use	`metadata.json`	Confirms repository, branch, commit, and imported path before touching the copied workflow
Provenance review	`ORIGIN.md`	Gives reviewers a plain-language audit trail for the imported source
Workflow execution	`SKILL.md`	Starts with the smallest copied file that materially changes execution
Supporting context	`SKILL.md`	Adds the next most relevant copied source file without loading the entire package
Handoff decision	`## Related Skills`	Helps the operator switch to a stronger native skill when the task drifts

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
Read the overview and provenance files before loading any copied upstream support files.
Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
Execute the upstream workflow while keeping provenance and source boundaries explicit in the working notes.
Validate the result against the upstream expectations and the evidence you can point to in the copied files.
Escalate or hand off to a related skill when the work moves out of this imported workflow's center of gravity.
Before merge or closure, record what was used, what changed, and what the reviewer still needs to verify.

Imported Workflow Notes

Imported: Overview

Generates implementation-ready JSON-LD schema markup for 10 schema types including FAQPage, Article, Product, HowTo, and BreadcrumbList. Validates all required fields against Google rich result eligibility rules, flags missing fields with exact fix instructions, and outputs one clean

<script>

block per schema type ready to paste into the page

<head>

Part of the SEO-AEO Engine.

Imported: Supported Schema Types

Type	Rich Result Unlocked
FAQPage	FAQ accordion in SERP — AEO critical
Article	Article rich result, Top Stories
Product	Price, availability, rating in SERP
HowTo	Step-by-step rich result
Review	Star rating in SERP
AggregateRating	Star rating with review count
BreadcrumbList	Breadcrumb path in SERP URL
Organization	Brand knowledge panel signals
WebPage	Enhanced page understanding
WebSite	Sitelinks Searchbox

Examples

Example 1: Ask for the upstream workflow directly

Use @seo-aeo-schema-generator to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @seo-aeo-schema-generator against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @seo-aeo-schema-generator for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @seo-aeo-schema-generator using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Imported Usage Notes

Imported: Examples

Example: FAQPage Schema Output

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is Syncro?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Syncro is a remote-first project management platform for distributed engineering teams. It centralises task tracking, async communication, and sprint planning in one tool."
      }
    }
  ]
}
</script>

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

✅ Do: Always include FAQPage schema on any page with a FAQ section — it is the strongest AEO signal
✅ Do: Use one <script> block per schema type — never combine multiple types
✅ Do: Test every output in Google's Rich Results Test before deploying
❌ Don't: Use relative URLs anywhere in schema — all URLs must start with https://
❌ Don't: Leave placeholder text in any field before deploying
❌ Don't: Use HTML tags inside JSON-LD string values
Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.

Imported Operating Notes

Imported: Best Practices

✅ Do: Always include FAQPage schema on any page with a FAQ section — it is the strongest AEO signal
✅ Do: Use one
```
<script>
```
block per schema type — never combine multiple types
✅ Do: Test every output in Google's Rich Results Test before deploying
❌ Don't: Use relative URLs anywhere in schema — all URLs must start with
```
https://
```
❌ Don't: Leave placeholder text in any field before deploying
❌ Don't: Use HTML tags inside JSON-LD string values

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in

plugins/antigravity-awesome-skills-claude/skills/seo-aeo-schema-generator

, fails to mention provenance, or does not use any copied source files at all. Solution: Re-open

metadata.json

ORIGIN.md

, and the most relevant copied upstream files. Load only the files that materially change the answer, then restate the provenance before continuing.

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated

SKILL.md

, but they cannot quickly tell which references, examples, or scripts matter for the current task. Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

```
@00-andruia-consultant-v2
```
- Use when the work is better handled by that native specialization after this imported skill establishes context.
```
@10-andruia-skill-smith-v2
```
- Use when the work is better handled by that native specialization after this imported skill establishes context.
```
@20-andruia-niche-intelligence-v2
```
- Use when the work is better handled by that native specialization after this imported skill establishes context.
```
@2d-games
```
- Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

Resource family	What it gives the reviewer	Example path
`references`	copied reference notes, guides, or background material from upstream	`references/n/a`
`examples`	worked examples or reusable prompts copied from upstream	`examples/n/a`
`scripts`	upstream helper scripts that change execution or validation	`scripts/n/a`
`agents`	routing or delegation notes that are genuinely part of the imported package	`agents/n/a`
`assets`	supporting assets or schemas copied from the source package	`assets/n/a`

Imported Reference Notes

Imported: Additional Resources

Imported: How It Works

Step 1: Recommend Schema Types

If schema types are not specified, recommend the appropriate types based on the page type. Landing pages get FAQPage + Product + BreadcrumbList. Blog posts get Article + FAQPage + BreadcrumbList.

Step 2: Use Built-In Schema Templates

Using your knowledge of schema.org and Google's rich result requirements, construct the JSON-LD template for each requested schema type. Use the required and recommended fields listed in the Google Rich Results documentation for that type.

Step 3: Populate Fields

Map all page data to template placeholders. Check every required field against the rich result eligibility rules.

Step 4: Validate

Flag any missing required field as a Critical issue. Flag missing recommended fields as warnings. Do not output schema with missing required fields.

Step 5: Output Script Blocks

Write one

<script type="application/ld+json">

block per schema type. Include implementation instructions and testing tool links.

Imported: Common Pitfalls

Problem: Schema passes validation but rich result doesn't appear in search Solution: Rich results can take weeks to appear after deployment. Request re-indexing in Google Search Console immediately after adding schema.
Problem: Product schema missing star rating display Solution: Add AggregateRating object with ratingValue, reviewCount, bestRating, and worstRating — all four fields required.

Imported: Limitations

Use this skill only when the task clearly matches the scope described above.
Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.