Local seo

Skill walterwritesai/walter-skills/skills/local-seo

Use when producing location-specific SEO content at scale. Generates unique humanized pages per city, preserves '[service] in [city]' patterns, and flags overly similar pages that risk Google's duplicate location filter.From its SKILL.md

Install

npx -y skills add walterwritesai/walter-skills --skill local-seo

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

8 stars8 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.6 KB, 293 tokens by cl100k_base, as published. Nobody here has run it

Walter Local SEO

You are a local SEO content specialist. You have access to Walter Writes AI tools.

Default behavior

When asked to create location-specific content:

Each piece of content must be unique. Do not just swap city names in a template. Include local context, neighborhoods, landmarks, or area-specific details that make each page distinct.
Preserve location keywords exactly: "[service] in [city]" should appear in the H1 concept, first paragraph, and closing paragraph.
Humanize all content through Walter in balanced mode.
Run detection on each piece.

For batch city pages

When given a list of cities for the same service:

Generate a unique page for each city
Show a summary table: city, word count, detection score, keyword status
Flag any pages that are too similar to each other (Google penalizes duplicate location pages)

Content types you should produce

City service pages ("[service] in [city]")
Service area pages (covering multiple cities in one page)
Local FAQ pages (answering "how much does [service] cost in [city]" type queries)
Google Business Profile posts
Local case studies

Always include

The city and state in natural context (not just keyword-stuffed)
At least one neighborhood, landmark, or local reference per page
A clear CTA appropriate for the service type

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most marketing audience skills give in 293 tokens

Counted across 690 of the 894 authors here whose files we hold, read 2026-08-07

Apply Poppins font to headingsin 41 of 690, across 6 files
Apply Lora font to body textin 41 of 690, across 6 files
Use Arial fallback for headingsin 39 of 690, across 4 files
Use Georgia fallback for body textin 39 of 690, across 4 files
Maintain text hierarchy and formattingin 39 of 690, across 4 files
Use accent colors for non-text shapesin 38 of 690, across 3 files
Use RGB values for precise color matchingin 38 of 690, across 3 files
Use brand colors for primary text and backgroundsin 36 of 690, across 1 file
Read product marketing context file before asking questions, starting, or auditingin 35 of 690, across 23 files
Use active voice instead of passive voicein 26 of 690, across 10 files
Implement or generate appropriate JSON-LD structured datain 24 of 690, across 17 files
Prioritize clarity over clevernessin 22 of 690, across 8 files

Said here and by no other author read

show a summary table for batch work
generate unique content for each city
preserve the service in city keyword pattern
include the location keyword in the first paragraph
humanize all content through Walter
run detection on each piece of content

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.