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Seo Programmatic

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AgriciDaniel
seo-programmatic

Programmatic SEO planning and analysis for pages generated at scale from data sources. Covers template engines, URL patterns, internal linking automation, thin content safeguards, and index bloat prevention. Use when user says "programmatic SEO", "pages at scale", "dynamic pages", "template pages", "generated pages", or "data-driven SEO".

Overview

PublisherAgriciDaniel
Repositoryclaude-seo
Skill nameseo-programmatic
Stars
17.1K
Forks
2.5K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by AgriciDaniel on GitHub. Read the source before you install it.

Installation

Install the Seo Programmatic AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git /tmp/claude-seo
mkdir -p .claude/skills
cp -r /tmp/claude-seo/skills/seo-programmatic .claude/skills/seo-programmatic
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Seo Programmatic in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Seo Programmatic on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Seo Programmatic is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Programmatic SEO Analysis & Planning

Build and audit SEO pages generated at scale from structured data sources. Enforces quality gates to prevent thin content penalties and index bloat.

Data Source Assessment

Evaluate the data powering programmatic pages:

  • CSV/JSON files: Row count, column uniqueness, missing values
  • API endpoints: Response structure, data freshness, rate limits
  • Database queries: Record count, field completeness, update frequency
  • Data quality checks:
    • Each record must have enough unique attributes to generate distinct content
    • Flag duplicate or near-duplicate records (>80% field overlap)
    • Verify data freshness; stale data produces stale pages

Template Engine Planning

Design templates that produce unique, valuable pages:

  • Variable injection points: Title, H1, body sections, meta description, schema
  • Content blocks: Static (shared across pages) vs dynamic (unique per page)
  • Conditional logic: Show/hide sections based on data availability
  • Supplementary content: Related items, contextual tips, user-generated content
  • Template review checklist:
    • Each page must read as a standalone, valuable resource
    • No "mad-libs" patterns (just swapping city/product names in identical text)
    • Dynamic sections must add genuine information, not just keyword variations

URL Pattern Strategy

Common Patterns

  • /tools/[tool-name]: Tool/product directory pages
  • /[city]/[service]: Location + service pages
  • /integrations/[platform]: Integration landing pages
  • /glossary/[term]: Definition/reference pages
  • /templates/[template-name]: Downloadable template pages

URL Rules

  • Lowercase, hyphenated slugs derived from data
  • Logical hierarchy reflecting site architecture
  • No duplicate slugs; enforce uniqueness at generation time
  • Keep URLs under 100 characters
  • No query parameters for primary content URLs
  • Consistent trailing slash usage (match existing site pattern)

Internal Linking Automation

  • Hub/spoke model: Category hub pages linking to individual programmatic pages
  • Related items: Auto-link to 3-5 related pages based on data attributes
  • Breadcrumbs: Generate BreadcrumbList schema from URL hierarchy
  • Cross-linking: Link between programmatic pages sharing attributes (same category, same city, same feature)
  • Anchor text: Use descriptive, varied anchor text. Avoid exact-match keyword repetition
  • Link density: 3-5 internal links per 1000 words (match seo-content guidelines)

Thin Content Safeguards

Quality Gates

MetricThresholdAction
Pages without content review100+⚠️ WARNING: require content audit before publishing
Pages without justification500+🛑 HARD STOP: require explicit user approval and thin content audit
Unique content per page<40%❌ Flag as thin content (likely penalty risk)
Word count per page<300⚠️ Flag for review (may lack sufficient value)

Scaled Content Abuse: Enforcement Context (2025-2026)

Google's Scaled Content Abuse policy (introduced March 2024) saw major enforcement escalation in 2025:

  • June 2025: Wave of manual actions targeting websites with AI-generated content at scale
  • August 2025: Third-party/SEO-community reporting described stronger SpamBrain detection for AI-generated link schemes and content farms
  • Result: Google reported 45% reduction in low-quality, unoriginal content in search results post-March 2024 enforcement

Enhanced quality gates for programmatic pages:

  • Content differentiation: ≥30-40% of content must be genuinely unique between any two programmatic pages (not just city/keyword string replacement)
  • Human review: Minimum 5-10% sample review of generated pages before publishing
  • Progressive rollout: Publish in batches of 50-100 pages. Monitor indexing and rankings for 2-4 weeks before expanding. Never publish 500+ programmatic pages simultaneously without explicit quality review.
  • Standalone value test: Each page should pass: "Would this page be worth publishing even if no other similar pages existed?"
  • Site reputation abuse: Google clarified site reputation abuse language on 2024-11-19; treat third-party/hosted programmatic content as a policy risk. Since 2026-08-28 enforcement depends on the searcher: manual actions apply outside the EEA, while for EEA users the third-party section may be categorized separately from the main domain. Report the risk for both audiences.

Recommendation: The WARNING gate at <40% unique content remains appropriate. Consider a HARD STOP at <30% unique content to prevent scaled content abuse risk.

Safe Programmatic Pages (OK at scale)

✅ Integration pages (with real setup docs, API details, screenshots) ✅ Template/tool pages (with downloadable content, usage instructions) ✅ Glossary pages (200+ word definitions with examples, related terms) ✅ Product pages (unique specs, reviews, comparison data) ✅ Data-driven pages (unique statistics, charts, analysis per record)

Penalty Risk (avoid at scale)

❌ Location pages with only city name swapped in identical text ❌ "Best [tool] for [industry]" without industry-specific value ❌ "[Competitor] alternative" without real comparison data ❌ AI-generated pages without human review and unique value-add ❌ Pages where >60% of content is shared template boilerplate

Uniqueness Calculation

Unique content % = (words unique to this page) / (total words on page) × 100

Measure against all other pages in the programmatic set. Shared headers, footers, and navigation are excluded from the calculation. Template boilerplate text IS included.

Metadata is scored separately. This calculation covers body copy only, so a set that passes it can still carry one generated title/description shape on every URL. Run "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run metadata_template.py --pairs-file <file> --json (heuristic, deterministic string comparison) over the whole set and treat a site_risk of high as a gate failure regardless of body uniqueness.

Canonical Strategy

  • Every programmatic page must have a self-referencing canonical tag
  • Parameter variations (sort, filter) canonical to the base URL when duplicate or low-value
  • Paginated series: use self-canonical paginated pages when content differs; keep crawlable links
  • If programmatic pages overlap with manual pages, the manual page is canonical
  • No canonical to a different domain unless intentional cross-domain setup

Sitemap Integration

  • Auto-generate sitemap entries for all programmatic pages
  • Split at 50,000 URLs or 50MB uncompressed per sitemap file, whichever comes first (protocol limit)
  • Use sitemap index if multiple sitemap files needed
  • <lastmod> reflects actual data update timestamp (not generation time)
  • Exclude noindexed programmatic pages from sitemap
  • Register sitemap in robots.txt
  • Update sitemap dynamically as new records are added to data source

Index Bloat Prevention

  • Noindex low-value pages: Pages that don't meet quality gates
  • Pagination: Reserve noindex/canonical consolidation for true duplicates or low-value filtered views
  • Faceted navigation: Reserve noindex/canonical to base category for true duplicates or low-value filtered views
  • Crawl budget: For sites with >10k programmatic pages, monitor crawl stats in Search Console
  • Thin page consolidation: Merge records with insufficient data into aggregated pages
  • Regular audits: Monthly review of indexed page count vs intended count

Output

Programmatic SEO Score: XX/100

Assessment Summary

CategoryStatusScore
Data Quality✅/⚠️/❌XX/100
Template Uniqueness✅/⚠️/❌XX/100
URL Structure✅/⚠️/❌XX/100
Internal Linking✅/⚠️/❌XX/100
Thin Content Risk✅/⚠️/❌XX/100
Index Management✅/⚠️/❌XX/100

Critical Issues (fix immediately)

High Priority (fix within 1 week)

Medium Priority (fix within 1 month)

Low Priority (backlog)

Recommendations

  • Data source improvements
  • Template modifications
  • URL pattern adjustments
  • Quality gate compliance actions

Error Handling

ScenarioAction
URL unreachableReport connection error with status code. Suggest verifying URL accessibility and checking for authentication requirements.
No programmatic pages detectedInform user that no template-generated or data-driven page patterns were found. Suggest checking if pages use client-side rendering or if the URL points to the correct section.
Thin content threshold exceededTrigger quality gate warning. Report the unique content percentage and flag pages below 40% uniqueness. Require user acknowledgment before proceeding.
Quality gate violationHalt analysis at the HARD STOP threshold (500+ pages without justification or <30% unique content). Present findings and require explicit user approval to continue.

Frequently asked questions

What does the Seo Programmatic AI skill do?

Programmatic SEO planning and analysis for pages generated at scale from data sources. Covers template engines, URL patterns, internal linking automation, thin content safeguards, and index bloat prevention. Use when user says "programmatic SEO", "pages at scale", "dynamic pages", "template pages", "generated pages", or "data-driven SEO".

Why use Seo Programmatic on TypingMind?

Because you install it once and use it with any model. Seo Programmatic is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Seo Programmatic in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-programmatic. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Seo Programmatic?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Seo Programmatic?

As many as you like. As long as a model supports skills, you can use Seo Programmatic with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Seo Programmatic AI skill free?

Yes. It is published on GitHub by AgriciDaniel under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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