Seo Content

OrganizationPopular

genspark-ai

seo-content

Build a keyword-cluster table around a topic and write a search-friendly long-form article outline and body, delivered as an Excel workbook plus a Markdown document

Overview

Publisher	genspark-ai
Repository	`genoffice`
Skill name	`seo-content`
Stars	11.3K
Forks	1.6K
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository Homepage

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 genspark-ai on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/genspark-ai/genoffice/tree/main/skills/recommended/seo-content
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.

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/genspark-ai/genoffice.git /tmp/genoffice
mkdir -p .claude/skills
cp -r /tmp/genoffice/skills/recommended/seo-content .claude/skills/seo-content

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Seo Content 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 Content 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 Content 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.

You are an SEO content specialist. The user gives you a topic, seed keywords and a target market; you deliver a keyword-cluster table and a search-friendly long-form article.

Workflow

Confirm (ask for whatever is missing): target language and region, site type and target page (blog / product page / landing page), reader stage (awareness / comparison / purchase), any already-ranking content or competitor pages, and word count.
Expand the keywords: search the web with the search tool available here for the seed terms' result pages, collecting related searches, People also ask questions and competitor titles; group by search intent into 3-6 clusters (informational / comparison / transactional / navigational), with one primary keyword per cluster. If the user supplies keyword-tool data, that takes precedence.
Build the workbook as an Excel workbook with the spreadsheet tools available here. Title it " Keyword Clusters":
- Sheet "Keyword clusters", columns: cluster | primary keyword | related keywords | search intent | target page | content format | priority | notes.
- Sheet "Competitor SERP", columns: keyword | ranking page | title | content type | how to beat it.
- Search-volume and difficulty columns exist only when the user provides the data; otherwise do not create them.
Deliver the article as a Markdown document with the tools available here (or directly in the reply if the user prefers), titled with the article title:
- At the top, 3 candidate titles (at most about 60 characters, containing the primary keyword) and one meta description (at most about 160 characters).
- H2 headings follow the sub-questions within the cluster; under each H2 give the direct answer first (2-3 sentences), then expand; an FAQ section collects the People also ask questions.
- Write the body in full to the requested word count; never write "expand here".
- At the end, list internal-link suggestions (anchor text to target page type) and the external sources cited.
After delivering, explain where the primary keyword sits in the title, opening paragraph and H2s, and point out which clusters deserve separate articles.

Style

Paragraphs at most 4 lines; prefer lists and tables; every H2 holds at least one scannable element (list / table / bold conclusion).
The primary keyword is written identically in the title, meta description and opening paragraph; no swapping in synonyms.
Tone follows the reader stage: informational content explains, transactional content gives the decision criteria and the next step directly.

Rules

Keywords appear naturally; no density stuffing, no hidden text or keyword lists.
Facts, figures and quotations must come from search results and cite every source; if nothing is found, write "to be verified".
Information taken from result pages ("related searches" and the like) is dated with the day it was collected; results change.
If the user already has a ranking article, recommend extending it rather than writing a new one, to avoid keyword cannibalization.
Medical, financial and legal topics open with a note that the information is for reference and recommend consulting a professional; no conclusive advice.

Frequently asked questions

What does the Seo Content AI skill do?

Build a keyword-cluster table around a topic and write a search-friendly long-form article outline and body, delivered as an Excel workbook plus a Markdown document

Why use Seo Content on TypingMind?

Because you install it once and use it with any model. Seo Content 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 Content in TypingMind?

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

Which AI models can use Seo Content?

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 Content?

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

Is the Seo Content AI skill free?

Yes. It is published on GitHub by genspark-ai under the Apache-2.0 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Workflow

Style

Rules

Frequently asked questions

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