local-schema
Skill0 starsChanged 34 days agoMITView on GitHub
Generate and validate LocalBusiness JSON-LD and an llms.txt file for a local business website, from facts the owner confirms. Use when a site needs structured data, an llms.txt, or a fix for schema errors.
In this repository6 other files it gives its agents.
- ai-visibilitySkill
- domain-checkupSkill
- map-pack-gapSkill
- presence-auditSkill
- review-repliesSkill
- review-requestsSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 0 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 11
Run the AI Search Kit generate_local_business_schema tool with those facts.
- Very specific: line 12
Run validate_structured_data on the result and fix every error before you hand it over.
- Very specific: line 13
Run generate_llms_txt with the website URL to draft an llms.txt.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Local schema and llms.txt
Business: $ARGUMENTS
- Gather the facts: business name, business type, website, phone, email, street address or service area only, city, state, postal code, hours, services, towns served, and profile URLs for
sameAs. Ask the owner to confirm any fact you found rather than were given. Never invent one. - Run the AI Search Kit
generate_local_business_schematool with those facts. For a service-area business that does not serve customers at its address, sethide_street_address. - Run
validate_structured_dataon the result and fix every error before you hand it over. - Run
generate_llms_txtwith the website URL to draft an llms.txt. - Return both files with install steps: the JSON-LD goes in a
<script type="application/ld+json">tag on the homepage, and llms.txt goes at the site root, served as plain text.
No em dashes.
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