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Programmatic seo

Skill bromso/metapowers/plugins/marketing/skills/programmatic-seo

A Claude Code plugin that adds an agentic skills framework, with MCP's and a meta prompting processes. Inspired by "Superpowers" & "Figma Console MCP", but not just for development or design; but for all aspect within the digital production cycle.

Install
npx -y skills add bromso/metapowers --skill programmatic-seo

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

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  • 1 stars1 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.

What its author says it does

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Build template-driven pages at scale for search traffic

SKILL.md

2.6 KB, 615 tokens by cl100k_base, as published. Nobody here has run it

Programmatic SEO

Design a programmatic SEO strategy for "$ARGUMENTS". Plan template-driven pages that target long-tail keywords at scale — landing pages, directories, comparison pages, or location-based pages.

Prerequisites

Read .metapowers/marketing/$ARGUMENTS/00-strategy.md and .metapowers/marketing/$ARGUMENTS/01-reach.md (if exists). If 00-strategy.md does not exist, tell the user:

Phase 0 (Strategy) has not been completed for "$ARGUMENTS". Run /marketing:customer-research $ARGUMENTS first, or use --skip-checks to bypass.

If --skip-checks is present in $ARGUMENTS, skip this check and log to .metapowers/marketing/$ARGUMENTS/skip-log.md.

Process

  1. Read context:

    • Read .metapowers/marketing/$ARGUMENTS/00-strategy.md for audience and competitive data
    • Read .metapowers/marketing/$ARGUMENTS/01-reach.md for SEO and content context if available

  2. Identify programmatic opportunities:

    • Use WebSearch to find long-tail keyword patterns (e.g., "[tool] for [industry]", "[tool] vs [competitor]", "[tool] in [city]")
    • Estimate total addressable keyword volume across templates
    • Prioritize by search volume, competition, and conversion intent

  3. Design page templates:

    • For each template type: layout, required data fields, content structure
    • How will unique value be added per page? (avoid thin content)
    • Internal linking strategy between programmatic pages
    • CTA and conversion path per template

  4. Data source planning:

    • What data populates each template? (database, API, manual, AI-generated)
    • Data quality and freshness requirements
    • Scale: how many pages in the initial launch?

  5. Quality and indexing strategy:

    • How to avoid duplicate or thin content penalties
    • Indexing approach: sitemap, internal links, pagination
    • Content enrichment strategy per page

  6. Write the artifact — append to .metapowers/marketing/$ARGUMENTS/01-reach.md under a ## Programmatic SEO section:

    • Keyword Patterns — template types with volume estimates
    • Page Templates — layout and content structure per type
    • Data Sources — what populates each template
    • Quality Plan — how to avoid thin content
    • Implementation Roadmap — phases and page counts

Output

Programmatic SEO strategy appended to .metapowers/marketing/$ARGUMENTS/01-reach.md. Present a summary highlighting:

  • Number of template types identified
  • Total estimated keyword opportunity
  • Recommended first template to build

Gives 0 of the 12 instructions most seo skills give in 615 tokens

Counted across 454 of the 460 authors here whose files we hold, read 2026-08-07

  • implement structured data using JSON-LDin 29 of 454, across 25 files
  • write unique meta descriptions under 160 charactersin 25 of 454, across 20 files
  • verify one H1 exists per pagein 24 of 454, across 15 files
  • maintain a single h1 per pagein 24 of 454, across 15 files
  • use JSON-LD format for all schema markupin 23 of 454, across 16 files
  • use descriptive anchor text for internal linksin 22 of 454, across 18 files
  • add descriptive alt text to imagesin 19 of 454, across 15 files
  • read product marketing context before auditingin 19 of 454, across 11 files
  • write unique title tags under 60 charactersin 19 of 454, across 14 files
  • add unique title and meta description per pagein 19 of 454, across 17 files
  • fetch robots.txt and sitemap.xmlin 19 of 454, across 18 files
  • Place the primary keyword in the first 100 wordsin 18 of 454, across 17 files

Said here and by no other author read

  • Read strategy and reach context files first
  • Check if strategy phase is completed
  • Skip checks if skip flag is present
  • Use WebSearch to find long-tail keyword patterns
  • Estimate total addressable keyword volume
  • Prioritize by search volume, competition, and intent

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.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.