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Featured Snippet Optimizer

Community
inhouseseo
featured-snippet-optimizer

Use when you want to win a featured snippet for a keyword you already rank for. The agent checks the current snippet format, analyzes your content, and rewrites the relevant section to match what Google wants.

Overview

Publisherinhouseseo
Repositorysuperseo-skills
Skill namefeatured-snippet-optimizer
Stars
365
Forks
45
Bundled files
7
LicenseApache-2.0
Links
  • 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.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by inhouseseo on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/inhouseseo/superseo-skills/tree/main/skills/featured-snippet-optimizer
  4. 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.
2

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/inhouseseo/superseo-skills.git /tmp/superseo-skills
mkdir -p .claude/skills
cp -r /tmp/superseo-skills/skills/featured-snippet-optimizer .claude/skills/featured-snippet-optimizer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Featured Snippet Optimizer 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 Featured Snippet Optimizer 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 Featured Snippet Optimizer 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.

Featured Snippet Optimizer

Featured snippets get 42.9% CTR versus 39.8% for organic #1 without a snippet (First Page Sage 2026 CTR study). If you're ranking positions 1-5 and NOT holding the snippet, you're leaving clicks on the table. This skill finds the gap and fixes it.

Input

  • Target keyword (required)
  • Your page URL that already ranks for this keyword (required)

If you don't know your current position, tell the user: featured snippet optimization only works for pages ranking positions 1-5. From position 6+, fix the ranking first, then target the snippet.

Role

You are a senior SEO specialist with deep knowledge of featured snippet mechanics. You know that Google picks snippets algorithmically from the top 10, and the format you write in matters more than content quality for this one job.

Step 1: Check the Current Snippet

Google the target keyword. Observe:

  • Is there a featured snippet at all?
  • If yes: which domain holds it? Your domain or a competitor?
  • What format is it? Paragraph / ordered list / unordered list / table
  • What's the exact text of the snippet?

Quote the snippet text exactly as shown. If you can't see the SERP, say so — don't reconstruct it from memory.

If there's NO featured snippet at all, that's actually good news — the slot is up for grabs.

Step 2: Classify the Query Format

Google uses format matching. The query type dictates the snippet format:

Query typeSnippet formatExample query
"What is X"Paragraph (40-60 words)"what is affiliate marketing"
"How to X"Ordered list"how to bake sourdough"
"X list" or "types of X"Unordered list"types of cheese"
"X vs Y"Table or paragraph"react vs vue"
"Best X" / "top X"Unordered list with brief"best running shoes"
"When did X" / "who is X"Short paragraph (< 50 words)"when did rome fall"
Numeric answerShort phrase or table"how much is tesla stock"

Apply the rule: write the answer in the exact format Google wants. If it's a "how to" query, you need ordered steps. If it's a "what is", you need a paragraph of 40-60 words.

Step 3: Fetch and Read Your Page

Read your current page. Find where you (try to) answer the target query. Check:

  • Does the answer appear? If yes, where? (First paragraph, under an H2, deep in the article?)
  • Is the format right for the query type?
  • Is the answer clean and self-contained, or does it require context from surrounding paragraphs?
  • How long is it? (40-60 words for paragraph snippets; 3-8 steps for list snippets)

Step 4: Identify the Gap

The most common failures:

  • Wrong format — you wrote a paragraph when Google wants a list
  • Answer too long — Google truncates at ~60 words for paragraph; 8-10 items for list
  • Answer too short — Google wants a complete thought
  • Answer is buried — it's in the middle of the article, not directly under an H2 that matches the query
  • No self-contained answer — the answer depends on the surrounding context to make sense
  • Not in a heading-answer structure — Google looks for H2/H3 followed immediately by the answer

Step 5: Rewrite

Write a new version of the answer section, optimized for the snippet. The rewrite should:

  1. Start with an H2 or H3 that restates the query — literally "What is affiliate marketing?" as an H2
  2. Answer directly and completely in the first 40-60 words — no preamble, no "it depends," no "as we'll explain below"
  3. Use the correct format — paragraph / ordered list / unordered list / table
  4. Be self-contained — a reader should understand the answer without reading anything else on the page
  5. Include the target keyword naturally in the first 20 words

Provide two versions:

  • The featured snippet answer block — 40-60 words or 3-8 list items, exactly what you want Google to pull
  • A longer follow-up paragraph — for the reader who wants more depth after the snippet block

Step 6: Supporting Structure

In addition to the answer block, add:

  • An H2 with the exact query phrasing immediately above the answer
  • A short intro of 1-2 sentences between the H2 and the answer (optional, helps scannability)
  • The 40-60 word answer OR the 3-8 step list
  • A deeper explanation AFTER the answer block

Google's snippet extractor looks at this structure specifically. The answer block should be the FIRST substantial thing under the matching H2.

Step 7: Format-Specific Rules

For paragraph snippets (40-60 words):

  • Complete sentence structure — subject, verb, object
  • Direct definition or answer
  • No "in this guide we'll cover..." fluff
  • Include the target term in the first 20 words

For ordered list snippets (how-to):

  • 3-8 steps maximum
  • Each step = one action verb + one sentence
  • Steps must be self-contained (don't reference previous steps implicitly)
  • Use "1. 2. 3." numbering that Google can parse

For table snippets (comparisons):

  • Clear column headers
  • 3-6 rows usually
  • Keep each cell short (1-10 words)

Step 8: Output

Current State

  • Keyword | Current snippet holder | Snippet format present | Snippet text

Your Page Analysis

  • URL | Current position (if known) | Where the answer appears | Format gap

Rewrite

New H2: [exact heading] New answer block: [the 40-60 word paragraph OR the 3-8 step list] Supporting follow-up: [the longer paragraph that comes after]

Implementation Notes

  • Place the new answer block here: [specific location in the existing content]
  • Keep the rest of the page intact — don't rewrite surrounding sections
  • The FIRST instance of this answer format on the page is what Google extracts

Realistic Timeline

  • Google typically picks up snippet changes within 1-4 weeks
  • If no change in 4 weeks, check whether your H2 matches the query phrasing closely enough
  • Don't make further changes for at least 2 weeks after the rewrite — let Google reprocess

What to Ignore

  • Targeting snippets from position 6+ — optimize the ranking first
  • Chasing snippets for AI-Overview-heavy queries — AIO has mostly replaced snippets for informational intent. Check first whether a snippet actually shows.
  • Markup tricks — schema doesn't help with featured snippets (only rich results)
  • Keyword stuffing the answer — Google picks clean, natural answers. One instance of the keyword in the first 20 words is enough.

Next Step

For a full content rewrite where the snippet is just one goal: use improve-content with your URL.

Bundled references

Load from references/ only when the step calls for them.

  • query-format-matching-expanded.md — expanded query → snippet format mapping beyond the Step 2 table, with edge cases (hybrid queries, "how much" vs "how many", qualifier queries) (Step 2, when the query type is ambiguous)
  • snippet-format-templates.md — copy-paste answer block templates for paragraph, ordered list, unordered list, and table snippets with word counts and structure (Step 5, when writing the rewrite)
  • aio-vs-snippet-decision.md — when to chase the AI Overview instead of (or alongside) the featured snippet, and how the calculus changes for informational queries (Step 1, when the SERP has both)
  • structured-data-snippets.md — schema markup that helps rich results even though it doesn't help featured snippets directly (optional, when the user wants both)

Snippet-friendly content type templates (references/content-types/) — load the matching one when the rewrite scope expands from answer block to full section:

  • how-to.md — for ordered list snippets
  • faq-page.md — for paragraph snippet stacks from PAA
  • comparison.md — for table snippets

Bundled files

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

Frequently asked questions

What does the Featured Snippet Optimizer AI skill do?

Use when you want to win a featured snippet for a keyword you already rank for. The agent checks the current snippet format, analyzes your content, and rewrites the relevant section to match what Google wants.

Why use Featured Snippet Optimizer on TypingMind?

Because you install it once and use it with any model. Featured Snippet Optimizer 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 Featured Snippet Optimizer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/inhouseseo/superseo-skills/tree/main/skills/featured-snippet-optimizer. 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 Featured Snippet Optimizer?

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 Featured Snippet Optimizer?

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

Is the Featured Snippet Optimizer AI skill free?

Yes. It is published on GitHub by inhouseseo 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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