generative-seo

generative-seo is a skill for Claude Code from benjaminthomas/spec-driven-dev. It costs 180 tokens per session (3,515 once invoked), scanned A, original, MIT.

Pracovný postup pre SEO a GEO, teda zlepšovanie technickej kvality webu a jeho šance byť citovaný vyhľadávačmi a systémami umelej inteligencie. Vie pracovať v režimoch ako obsah, audit, optimalizácia, konkurencia, citácie a report.

In plain words
What is it for?
Používa sa na SEO audity, písanie a úpravu obsahu, sledovanie citácií v AI odpovediach, výskum konkurencie, reporty a prípravu distribučných príspevkov.
Why use it?
Pomáha systematicky nájsť technické nedostatky, upraviť obsah podľa overiteľných faktov a sledovať viditeľnosť vo vyhľadávaní aj odpovediach AI.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ticket-to-pr plugin — 9 skills shipped together

Good fit Používa sa na SEO audity, písanie a úpravu obsahu, sledovanie citácií v AI odpovediach, výskum konkurencie, reporty a prípravu distribučných príspevkov.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/benjaminthomas/spec-driven-dev/generative-seo
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add benjaminthomas/spec-driven-dev --skill generative-seo
Clone the repo
git clone --depth 1 https://github.com/benjaminthomas/spec-driven-dev

Made for: Claude Code.

Or install ticket-to-pr, the plugin that ships this one along with the rest of its 9 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for generative-seo

README.md
[![agentmods](https://agentmods.dev/badge/skills/benjaminthomas/spec-driven-dev/generative-seo/github.svg)](https://agentmods.dev/skills/benjaminthomas/spec-driven-dev/generative-seo)
Your own site
<a href="https://agentmods.dev/skills/benjaminthomas/spec-driven-dev/generative-seo"><img src="https://agentmods.dev/badge/skills/benjaminthomas/spec-driven-dev/generative-seo/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for generative-seo

Your own site · 80×15
<a href="https://agentmods.dev/skills/benjaminthomas/spec-driven-dev/generative-seo"><img src="https://agentmods.dev/badge/skills/benjaminthomas/spec-driven-dev/generative-seo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 180 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,515 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00180 $0.03515
Opus 5.5 $0.00072 $0.01406
Sonnet 5.5 $0.00036 $0.00703
Haiku 4.5 $0.00018 $0.00351

Measured 2mo ago against content hash 9bced6f1fa4b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

generative-seo scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugin/skills/generative-seo/SKILL.md · 256 lines

How it starts

The opening of the file, as written. The whole thing — 256 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Generative SEO (GEO) Operations

Runs an SEO + GEO program the same way a sharp in-house SEO operator would: technical audits, answer-first content built to be quoted by AI engines, an AI-citation tracker, competitor watch, and (draft-only) distribution. It is deliberately generic — first use in a repo spends a few minutes learning that project's facts, then behaves like a project-specific skill from then on.

Mode selection: the argument names the mode (content, audit, optimize, competitors, citations, report, social). No argument → read the project's docs (below), summarize current state, and recommend the highest-impact next action.

For the full evidence behind every rule below (which studies, what they found, why each technique works) and the complete technical checklist, see references/geo-methodology.md. Read it before an audit or before writing a first piece of content in a new project; skip re-reading it on later runs in the same project.


First run in a project: learn the project

Look for a config file at docs/seo/geo-config.md (or wherever the user says their SEO docs live — some repos keep them in content/, marketing/, or a wiki instead). If it exists, read it and skip to Read these first.

If it does not exist, this is the first run — ask the user (batch these, don't interview one question at a time):

  1. Product/brand name(s) — and critically, if the product is a sub-brand of a parent company or a different name than the company that builds it, get that distinction explicit now (e.g. "Acme Corp is the company; Acme Flow is the product we're marketing" or "same name, no distinction needed"). Getting this wrong (writing "is Acme Corp free?" when the product is Acme Flow) is a real, recurring mistake — nail it once here instead of guessing per-page later.
  2. Primary domain the content lives on (affects sitemap/robots checks and internal-link audits).
  3. Framework — Next.js, Astro, Remix, SvelteKit, plain static HTML, a CMS (WordPress/Webflow/etc.), or something else. This determines where sitemap/robots/metadata/JSON-LD live (see references/geo-methodology.md for the per-framework map) — if unsure, look at the repo yourself first (package.json, top-level config files) before asking.
  4. Where marketing/content pages live in the repo (a directory, a headless CMS, or "not in this repo" if content is managed elsewhere).
  5. Existing design system doc, if any (a DESIGN.md, a Storybook, a Figma library) — new/edited pages should match it rather than invent a new look.
  6. How to source real statistics for content — product analytics the user can query, a public dataset, or "external sources only." Never invent numbers regardless of the answer.
  7. Docs folder for this skill's own working files (default: docs/seo/ at repo root — offer this default rather than making the user think of one).

Read the full file on GitHub · 256 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 256 lines · 180 tokens per session scan A 9bced6f1fa4b

Subscribe to this mod's changes

generative-seo is a skill published in the GitHub repository benjaminthomas/spec-driven-dev (2 stars, last pushed today), licensed MIT. It adds 180 tokens to every session and 3,515 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

generative-seo compared with skills from other repositories

generative-seo next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
generative-seobenjaminthomas/spec-driven-devSkill2todayMITA180Claude Code
academic-paperhamzabellouch/agent-skillsSkill826d agoMITA184Claude Code
deep-researchhamzabellouch/agent-skillsSkill826d agoMITA291Claude Code
agent-platform-alert-configurationhamzabellouch/agent-skillsSkill826d agoMITA106Claude Code
academic-paper-reviewerhamzabellouch/agent-skillsSkill826d agoMITA187Claude Code
agent-platform-inferencehamzabellouch/agent-skillsSkill826d agoMITA125Claude Code, Codex
gemini-omni-flash-apihamzabellouch/agent-skillsSkill826d agoMITA79Claude Code, Codex