agentleFS
hungphamwphungphamwp/claude-skills/seo-programmatic/SKILL.md

seo-programmatic

Skill1 starsChanged 3 months agoNo licenceView on GitHub

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".

30 other projects use a version of this, 17 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use seo-agentic, seo-image-gen and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • AgriciDanielSkill

    seo-agentic

    Audit and fix agent readiness: the Lighthouse Agentic Browsing fraction, accessibility tree for agents, robots.txt and Content-Signal for AI agents, WAF treatment of agent traffic, llms.txt, Markdown delivery, ai-catalog.json, /.well-known discovery files, and WebMCP tools. Use when the user asks whether AI agents can use or browse the site, or about llms.txt or WebMCP. Exclude AI citability and brand signals (seo-geo) and commerce protocol depth (seo-ecommerce).

    Also in 4 projects that use this

  • timruebenachSkill

    seo-image-gen

    AI image generation for SEO assets: OG/social preview images, blog hero images, schema images, product photography, infographics. Powered by Gemini via nanobanana-mcp. Requires banana extension installed. Use when user says \"generate image\", \"OG image\", \"social preview\", \"hero image\", \"blog image\", \"product photo\", \"infographic\", \"seo image\", \"create visual\", \"image-gen\", \"favicon\", \"schema image\", \"pinterest pin\", \"generate visual\", \"banner\", or \"thumbnail\".

    Also in 11 projects that use this

  • timruebenachSkill

    seo-flow

    FLOW framework integration — evidence-led SEO using the Find → Leverage → Optimize → Win loop. Surfaces stage-specific AI prompts from the FLOW knowledge base (41 prompts, CC BY 4.0). Use when user says "FLOW", "FLOW framework", "seo flow", "evidence-led SEO", "find leverage optimize win", or wants stage-specific SEO prompts.

    Also in 9 projects that use this

  • mangollcSkill

    seo-backlinks

    Backlink analysis and link building strategy: competitor backlink profiling, outreach plan generation, monthly SEO reporting framework, toxic link identification, link opportunity scoring, and unlinked mention discovery.

    Also in 12 projects that use this

  • indranilbanerjeeSkill

    seo-drift

    Compare two SEO exports (Search Console, two dates): gainers, losers, drift classes. \"what moved after the core update\"

    Also in 10 projects that use this

  • mangollcSkill

    seo-local

    Local SEO optimization: Google Business Profile post generation, 30-day posting calendars, NAP consistency checks, local citation audits, review response templates, local keywords.

    Also in 13 projects that use this

  • +6 more from timruebenach

The file

We split this skill into the rules it gives an agent

11 rules. 10 are common, 1 is distinctive, and 0 are very specific to this project.

  • 10

    Common

    Most of the 21 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 21 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.