Plan or audit SEO pages generated at scale from structured data — data-source quality, template uniqueness, URL patterns, internal linking, canonicals, sitemaps, and index-bloat prevention —…

MITAuto-check passedMarketing & SEO

Install Programmatic SEO

skills CLI
$ npx skills add indranilbanerjee/digital-marketing-pro --skill programmatic-seo -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install indranilbanerjee/digital-marketing-pro programmatic-seo --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-pro.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/programmatic-seo .claude/skills/programmatic-seo && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
programmatic-seo
GitHub stars
855
Used in
1 other repo
Token cost
~2k tokens
SKILL.md length
832 words
Files
1
Skills in repo
162
Repo updated
First seen
Licence
MIT

At a glance

Plan or audit SEO pages generated at scale from structured data — data-source quality, template uniqueness, URL patterns, internal linking, canonicals, sitemaps, and index-bloat prevention —…

  • Works in 10 steps: Load brand context: Read… → Data source assessment: Evaluate the… → Template engine planning: Design… → …
  • /digital-marketing-pro:programmatic-seo
  • SKILL.md covers Purpose, Input Required, Process and Quality Gates, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Programmatic SEO is an agent skill from indranilbanerjee/digital-marketing-pro. Plan or audit SEO pages generated at scale from structured data — data-source quality, template uniqueness, URL patterns, internal linking, canonicals, sitemaps, and index-bloat prevention — enforcing hard quality gates against thin content and Google's Scaled Content Abuse policy (uniqueness thresholds, batch rollout limits, standalone value test). Produces a /100 scorecard with prioritized fixes and a progressive rollout plan. Triggers on "/digital-marketing-pro:programmatic-seo", "plan programmatic landing…

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering Programmatic SEO. The repository describes itself as: An open-source AI marketing operating system for strategy, SEO, AEO/GEO, paid media, content, CRM, and analytics - grounded in brand context, human approval, and verifiable… The licence is MIT.

When your agent uses it

  • /digital-marketing-pro:programmatic-seo
  • Plan programmatic landing pages
  • Audit our location pages
  • Will 5000 generated pages get us penalized

Example prompts

  • “/digital-marketing-pro:programmatic-seo”
  • “plan programmatic landing pages”
  • “audit our location pages”
  • “/programmatic-seo”

Workflow steps

10 steps, taken from the first numbered list in SKILL.md.

  1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load…
  2. Data source assessment: Evaluate the data powering programmatic pages — row count, column uniqueness, missing values, duplicate detection…
  3. Template engine planning: Design templates that produce genuinely unique pages — variable injection points, content blocks (static vs…
  4. URL pattern strategy: Design URL hierarchy — lowercase hyphenated slugs, logical structure, uniqueness enforcement, under 100 characters…
  5. Internal linking automation: Hub/spoke model, related items (3-5 per page), breadcrumbs with BreadcrumbList schema, cross-linking by…
  6. Thin content safeguard check: Apply quality gates (see below)
  7. Canonical strategy: Self-referencing canonicals, parameter handling, pagination strategy, manual page priority
  8. Sitemap integration: Auto-generate entries, split at 50K URLs, from actual data timestamps, exclude noindexed pages
  9. Index bloat prevention: Noindex low-value pages, pagination handling, faceted navigation canonicalization, crawl budget monitoring for…
  10. Score and report: Score each dimension, produce prioritized action plan

What it can do on your machine

Read from SKILL.md and the folder at commit 3343924. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Programmatic SEO loads about 2k tokens when it runs. Until then it costs about 189 tokens; SKILL.md has 832 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~189
When it runs · the whole SKILL.md, loaded when a task matches
~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from indranilbanerjee/digital-marketing-pro at commit 3343924, republished under its MIT licence (© indranilbanerjee). 832 words, ~1,957 tokens.

Download SKILL.mdSave it as .claude/skills/programmatic-seo/SKILL.md (or your agent's skills folder).
name
programmatic-seo
description
Plan or audit SEO pages generated at scale from structured data — data-source quality, template uniqueness, URL patterns, internal linking, canonicals, sitemaps, and index-bloat prevention — enforcing hard quality gates against thin content and Google's Scaled Content Abuse policy (uniqueness thresholds, batch rollout limits, standalone value test). Produces a /100 scorecard with prioritized fixes and a progressive rollout plan. Triggers on "/digital-marketing-pro:programmatic-seo", "plan programmatic landing pages", "audit our location pages", "will 5000 generated pages get us penalized", "design a template engine for pSEO". Reads the brand profile and guidelines; plans and audits only — it does not generate or publish the pages.
argument-hint
[URL or plan]
user-invocable
true

/digital-marketing-pro:programmatic-seo

Purpose

Plan and audit SEO pages generated at scale from structured data sources (databases, APIs, CSV/JSON files). Enforces quality gates to prevent thin content penalties, index bloat, and Google's Scaled Content Abuse policy.

Input Required

The user must provide (or will be prompted for):

  • URL or data source: Existing programmatic pages to audit, or data source details for planning
  • Page type: What kind of pages are being generated (location, product, integration, glossary, template, tool)
  • Data source: CSV/JSON files, API endpoints, database queries — or existing pages to analyze
  • Target scale: How many pages will be generated
  • Current status: New build or auditing existing programmatic pages

Process

  1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Apply industry context and compliance rules. Check for brand guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json.
  2. Data source assessment: Evaluate the data powering programmatic pages — row count, column uniqueness, missing values, duplicate detection (>80% field overlap), data freshness
  3. Template engine planning: Design templates that produce genuinely unique pages — variable injection points, content blocks (static vs dynamic), conditional logic, supplementary content. Validate each page passes the "standalone value test"
  4. URL pattern strategy: Design URL hierarchy — lowercase hyphenated slugs, logical structure, uniqueness enforcement, under 100 characters, consistent trailing slash
  5. Internal linking automation: Hub/spoke model, related items (3-5 per page), breadcrumbs with BreadcrumbList schema, cross-linking by shared attributes, varied anchor text
  6. Thin content safeguard check: Apply quality gates (see below)
  7. Canonical strategy: Self-referencing canonicals, parameter handling, pagination strategy, manual page priority
  8. Sitemap integration: Auto-generate entries, split at 50K URLs, <lastmod> from actual data timestamps, exclude noindexed pages
  9. Index bloat prevention: Noindex low-value pages, pagination handling, faceted navigation canonicalization, crawl budget monitoring for 10K+ pages
  10. Score and report: Score each dimension, produce prioritized action plan

Quality Gates

Scale Thresholds
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 (penalty risk)
Unique content per page<30%HARD STOP: scaled content abuse risk
Word count per page<300Flag for review (may lack sufficient value)
Scaled Content Abuse Context (2025-2026)

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

  • June 2025: Wave of manual actions targeting AI-generated content at scale
  • August 2025: SpamBrain update enhanced pattern detection for AI-generated link schemes and content farms
  • Result: 45% reduction in low-quality, unoriginal content in search results

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+ simultaneously without 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: Publishing programmatic content under a high-authority domain (not your own) may trigger site reputation abuse penalties (enforced aggressively since November 2024)
Show full SKILL.md (315 more words)Show less
Safe vs Risky Programmatic Pages

Safe 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 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) x 100

Measured against all other pages in the programmatic set. Shared headers, footers, and navigation excluded. Template boilerplate IS included.

URL Pattern Library

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
  • /compare/[product-a]-vs-[product-b]: Comparison 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)

Output

A structured programmatic SEO assessment containing:

Programmatic SEO Score: XX/100
CategoryStatusScore
Data Qualityscore/100
Template Uniquenessscore/100
URL Structurescore/100
Internal Linkingscore/100
Thin Content Riskscore/100
Index Managementscore/100
  • Critical issues (fix immediately)
  • High priority (fix within 1 week)
  • Medium priority (fix within 1 month)
  • Recommendations: data source improvements, template modifications, URL pattern adjustments, quality gate compliance actions
  • Progressive rollout plan with batch sizes and monitoring checkpoints

Agents Used

  • seo-specialist — Programmatic page analysis, quality gate enforcement, URL strategy, template evaluation
  • content-creator — Template content design, uniqueness optimization

Scripts Used

  • tech-seo-auditor.py — Check technical SEO issues across programmatic page samples
  • content-scorer.py — Score content quality and uniqueness per template
  • competitor-scraper.py — Analyze competitor programmatic page patterns

© indranilbanerjee, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/programmatic-seo of indranilbanerjee/digital-marketing-pro.

Open the folder on GitHubat commit 3343924

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in indranilbanerjee/digital-marketing-pro, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Programmatic SEO next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Programmatic SEO compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Programmatic SEO this skillindranilbanerjee/digital-marketing-pro8551 repos~2kAutomated safety check: PassMIT
SEO Competitor Comparison PagesAgriciDaniel/claude-seo18k5 repos~1.9kAutomated safety check: PassMIT
Universal SEO AnalysisAgriciDaniel/claude-seo18k—~4.9kAutomated safety check: PassMIT
Competitor Alternativesfreekmurze/dotfiles1k24 repos~2kAutomated safety check: PassNone
Programmatic SEOfreekmurze/dotfiles1k22 repos~1.7kAutomated safety check: PassNone
Directory Submissionscoreyhaines31/marketingskills54k2 repos~6.3kAutomated safety check: PassMIT

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Categories

Questions about Programmatic SEO

What does Programmatic SEO do?

Plan or audit SEO pages generated at scale from structured data — data-source quality, template uniqueness, URL patterns, internal linking, canonicals, sitemaps, and index-bloat prevention —…. Programmatic SEO is an agent skill from indranilbanerjee/digital-marketing-pro. Plan or audit SEO pages generated at scale from structured data — data-source quality, template uniqueness, URL patterns, internal linking, canonicals, sitemaps, and index-bloat prevention — enforcing hard quality gates against thin content and Google's Scaled Content Abuse policy (uniqueness thresholds, batch rollout limits, standalone value test).

When should I use Programmatic SEO?

Programmatic SEO fits situations like: /digital-marketing-pro:programmatic-seo; plan programmatic landing pages; audit our location pages; will 5000 generated pages get us penalized.

How do I install Programmatic SEO in Claude Code?

Run `npx skills add indranilbanerjee/digital-marketing-pro --skill programmatic-seo -a claude-code`. Or copy the skill folder (skills/programmatic-seo in indranilbanerjee/digital-marketing-pro) into .claude/skills/programmatic-seo in your project. Claude Code loads it when a task matches its description.

How do I install Programmatic SEO in Codex?

Run `npx skills add indranilbanerjee/digital-marketing-pro --skill programmatic-seo -a codex`. Or copy the skill folder (skills/programmatic-seo in indranilbanerjee/digital-marketing-pro) into .agents/skills/programmatic-seo in your project. Codex loads it when a task matches its description.

Can I use Programmatic SEO in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add indranilbanerjee/digital-marketing-pro --skill programmatic-seo -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/programmatic-seo, .gemini/skills/programmatic-seo, .github/skills/programmatic-seo and .opencode/skills/programmatic-seo in your project.

What does Programmatic SEO need to run?

SKILL.md names no scripts, command-line tools or credentials: Programmatic SEO is instructions for the agent only.

Does Programmatic SEO access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Programmatic SEO safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Programmatic SEO use?

Programmatic SEO is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Programmatic SEO use?

About 2k tokens (SKILL.md is roughly 7.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Programmatic SEO?

Skills that share tags, products or a category with Programmatic SEO: SEO Competitor Comparison Pages (AgriciDaniel/claude-seo, 18k stars), Universal SEO Analysis (AgriciDaniel/claude-seo, 18k stars), Competitor Alternatives (freekmurze/dotfiles, 1k stars) and Programmatic SEO (freekmurze/dotfiles, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Programmatic SEO?

indranilbanerjee (a GitHub user) maintains it in indranilbanerjee/digital-marketing-pro, which has 855 GitHub stars. The repository holds 162 skills in this directory. The repository was last updated on October 4, 2026.

Source: indranilbanerjee/digital-marketing-pro on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.