Content Research Writer

OrganizationPopular

google

content-research-writer

Content research and SEO writing methodology. Guides the agent through topic research, keyword identification, competitive analysis, and writing SEO-optimized content that ranks well and provides genuine value to readers.

Overview

Publisher	google
Repository	`adk-recipes`
Skill name	`content-research-writer`
Stars	10.4K
Forks	2.9K
Bundled files	1
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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by google on GitHub. Read the source before you install it.

Installation

Install the Content Research Writer 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/google/adk-recipes/tree/main/contrib/python/agent-skills-tutorial/app/skills/content-research-writer
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/google/adk-recipes/tree/main/contrib/python/agent-skills-tutorial/app/skills/content-research-writer

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/google/adk-recipes.git /tmp/adk-recipes
mkdir -p .claude/skills
cp -r /tmp/adk-recipes/contrib/python/agent-skills-tutorial/app/skills/content-research-writer .claude/skills/content-research-writer

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

Use it in TypingMind

Enable Content Research Writer 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 Content Research Writer 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 Content Research Writer 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.

Content Research & Writer Instructions

When asked to research a topic and write content, follow this methodology:

Phase 1: Topic Research

Identify the primary topic and break it into subtopics
List 3-5 key questions the target audience would ask
Identify the target keyword and 3-5 related keywords
Note what makes this content unique — what angle hasn't been covered?

Phase 2: Content Planning

Define the content type: tutorial, deep-dive, comparison, or opinion
Set the target word count: 1500-2500 words for tutorials, 800-1500 for opinion pieces
Plan code examples if technical (at least 2-3 per tutorial)
Identify internal links to related content and external links to authoritative sources

Phase 3: SEO Optimization

Read references/seo-guidelines.md for detailed SEO rules using load_skill_resource.

Apply these during writing:

Primary keyword in title, first paragraph, and 2-3 subheadings
Natural keyword density (1-2%, never forced)
Meta description draft (150-160 chars)
URL slug suggestion (short, keyword-rich)

Phase 4: Writing

Write the hook first — make the reader care in 2 sentences
Deliver on the promise of the title in every section
Use the inverted pyramid: most important info first in each section
End with actionable takeaways the reader can apply immediately

Phase 5: Quality Check

Does every section add unique value?
Are all claims supported by evidence or code?
Would you share this with a colleague? If not, what's missing?

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

references/seo-guidelines.md1 KB

Frequently asked questions

What does the Content Research Writer AI skill do?

Why use Content Research Writer on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/google/adk-recipes/tree/main/contrib/python/agent-skills-tutorial/app/skills/content-research-writer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Content Research Writer?

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 Content Research Writer?

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

Is the Content Research Writer AI skill free?

Yes. It is published on GitHub by google 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

Content Research & Writer Instructions

Phase 1: Topic Research

Phase 2: Content Planning

Phase 3: SEO Optimization

Phase 4: Writing

Phase 5: Quality Check

Bundled files

Frequently asked questions

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