Geo-lint geo-lint

install
source · Clone the upstream repo
git clone https://github.com/IJONIS/geo-lint
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/IJONIS/geo-lint "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/geo-lint" ~/.claude/skills/ijonis-geo-lint-geo-lint && rm -rf "$T"
manifest: skills/geo-lint/SKILL.md
source content

geo-lint — Content Validation for AI Search

You are a content optimization agent using

@ijonis/geo-lint
, a deterministic linter with 92 rules. Your job is to validate and fix content files so they are optimized for both traditional SEO and AI search engine citation (GEO).

Command Router

Parse

$ARGUMENTS
and execute the matching workflow:

ArgumentWorkflow
audit
or empty
Full directory sweep — lint all files, fix violations with parallel subagents
fix <slug>
Single file fix — bring one file to zero violations
rules [category]
Show all rules, optionally filtered by: seo, geo, content, technical, i18n
init
Scaffold
geo-lint.config.ts
for a new project
report
Generate a GEO/SEO health summary without fixing anything

Pre-Flight Checks (run before any workflow)

  1. Verify Node.js >= 18:
    node --version
  2. Check if
    geo-lint.config.ts
    (or
    .mts
    ,
    .mjs
    ,
    .js
    ) exists in the project root. If not, inform the user and suggest running
    /geo-lint init
    . Stop unless the workflow is
    init
    or
    rules
    .
  3. Check if
    @ijonis/geo-lint
    is in
    devDependencies
    in
    package.json
    . If not, suggest:
    npm install -D @ijonis/geo-lint

Workflow: audit

Full directory sweep with parallel subagent fixing.

  1. Run the linter:

    npx geo-lint --format=json
    
  2. Parse the JSON array. If empty

    []
    , report "All content clean. Zero violations." Stop.

  3. Group violations by the

    file
    field. Each unique value is one content piece.

  4. Identify human-escalation violations and set them aside (do NOT fix these):

    • geo-low-citation-density
      — requires real statistics; never fabricate numbers
    • image-not-found
      — a real image file must exist on disk
    • broken-internal-link
      — the target page may not exist yet
    • category-invalid
      — valid categories come from
      geo-lint.config.ts
  5. For each file with fixable violations, spawn a

    geo-lint-fixer
    subagent. Pass each subagent:

    • The file slug (from the
      file
      field)
    • The filtered violations JSON (excluding human-escalation rules)
    • The project root path

    If more than 20 files have violations, batch into waves of 5-10.

  6. After all subagents complete, run a final full lint:

    npx geo-lint --format=json
    
  7. Report summary:

    • Files audited, violations fixed, violations remaining
    • Human-escalation items requiring user attention (list each with rule name and file)
    • Per-file status

Workflow: fix <slug>

Single file fix loop. The slug follows the format from

$ARGUMENTS
after "fix".

  1. Resolve the file path. The violation

    file
    field uses the format
    <contentType>/<slug>
    (e.g.,
    blog/my-post
    ). Default directory mappings:

    • blog
      ->
      content/blog/
    • page
      ->
      content/pages/
    • project
      ->
      content/projects/

    Find the file: search for

    .mdx
    or
    .md
    files matching the slug:

    find content/ -name "*.mdx" -o -name "*.md" | head -50
    

    Then grep for the matching slug in frontmatter if needed.

  2. Run the linter and filter to this file:

    npx geo-lint --format=json
    

    Filter the JSON output to violations where

    file
    matches the target slug.

  3. If no violations, report the file is clean. Stop.

  4. Set aside human-escalation violations (see list above).

  5. Fix all fixable violations in one edit pass:

    • Read the file from disk
    • For each violation, apply the fix described in its
      suggestion
      field
    • Fix
      error
      severity items first, then
      warning
    • Preserve the author's voice — restructure where needed, do not rewrite wholesale
    • For GEO rules: add structure (tables, FAQ, question headings) without removing content
  6. Re-run the linter and filter to this file again.

  7. If violations remain, repeat from step 5. Maximum 5 iterations.

  8. Report: violations fixed, violations remaining (with fixStrategy), human-escalation items.


Workflow: rules

Display the rule catalog.

  1. Run:

    npx geo-lint --rules

  2. Parse the JSON output.

  3. If a category was specified in

    $ARGUMENTS
    (seo, geo, content, technical, i18n), filter to that category only.

  4. Format as a markdown table grouped by category:

    RuleSeverityFix Strategy
  5. Show summary counts: "92 rules total: 35 GEO, 32 SEO, 14 content, 8 technical, 3 i18n"


Workflow: init

Scaffold a

geo-lint.config.ts
for a new project.

  1. Check if config already exists. If yes, ask the user whether to overwrite.

  2. Auto-detect project structure:

    • Content directories:
      content/
      ,
      src/content/
      ,
      posts/
      ,
      blog/
      ,
      pages/
    • Image directories:
      public/images/
      ,
      static/images/
      ,
      assets/images/
    • package.json
      homepage
      field for siteUrl
    • Framework (Astro, Next.js, Hugo, etc.)
  3. Generate

    geo-lint.config.ts
    :

    import { defineConfig } from '@ijonis/geo-lint';
    
    export default defineConfig({
      siteUrl: '<detected-or-ask-user>',
      contentPaths: [
        // auto-detected directories
      ],
    });
    
  4. Install the package if not in devDependencies:

    npm install -D @ijonis/geo-lint
    
  5. Run a test lint:

    npx geo-lint --format=json
    
  6. Report setup result with next steps.


Workflow: report

Generate a health summary without fixing anything.

  1. Run:
    npx geo-lint --format=json
  2. Parse and compute:
    • Total violations by severity (error vs warning)
    • Violations by category (SEO, GEO, Content, Technical, i18n)
    • Top 10 most common rules
    • Files sorted by violation count (worst first)
    • Clean files count
  3. Format as a markdown report with tables and summary statistics.

Reference

For the full rule catalog, fix patterns, and slug resolution details, see reference.md.