Improve Search Visibility Question Set

OrganizationPopular

gooseworks-ai

improve-search-visibility-question-set

Step of the improve-search-visibility playbook: drafts and scores the buyer-question set in AI and Google forms and groups it into page clusters. Run improve-search-visibility instead; not for direct use.

Overview

Publisher	gooseworks-ai
Repository	`goose-skills`
Skill name	`improve-search-visibility-question-set`
Stars	1.3K
Forks	219
Bundled files	1
License	MIT
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 gooseworks-ai on GitHub. Read the source before you install it.

Installation

Install the Improve Search Visibility Question Set 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/gooseworks-ai/goose-skills/tree/main/skills/marketing/improve-search-visibility-question-set
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/gooseworks-ai/goose-skills/tree/main/skills/marketing/improve-search-visibility-question-set

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/gooseworks-ai/goose-skills.git /tmp/goose-skills
mkdir -p .claude/skills
cp -r /tmp/goose-skills/skills/marketing/improve-search-visibility-question-set .claude/skills/improve-search-visibility-question-set

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

Use it in TypingMind

Enable Improve Search Visibility Question Set 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 Improve Search Visibility Question Set 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 Improve Search Visibility Question Set 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.

question-set

Reads: ../improve-search-visibility/references/question-list.md, ../improve-search-visibility/references/battlegrounds.md; brand summary, products, audience, competitors (gooseworks:brand_read, gooseworks:competitor_read); research-audience's research/audience/voc-bank.md and research-market's research/market/demand.md if present; customer language via gooseworks:knowledge_search with source_types: ["document", "evidence"] (query "Voice-of-customer bank — customer questions, objections, words customers use"); Search Console export if shared; the previous search/questions.md and search/page-map.md on re-runs.

Does: 0. Cover every audience the site sells to. If the site sells to more than one buyer or carries more than one positioning, include questions for each, so the decisions message can ask which buyer to win.

Re-run: reuse the saved set, then top it up to the mix — at least 3 brand-accuracy questions and every audience the site sells to — before anything runs; propose at most 3 other additions or swaps with reasons; keep ids stable — the same id always means the same words: a reworded question gets a new id and the old one is marked retired (reworded → Q<n>, v<N>), so the next run never compares different wordings.
First run: draft 18–20 candidates across the stage mix in both forms, never with the brand name in non-brand questions; 3–6 brand-accuracy questions always; local variants per city for physical businesses.
Score value (buying intent 1–5, ../improve-search-visibility/references/question-list.md) × winnability (1–3) provisionally with a one-line reason each; drop to the best 12–15. A brand name that is a common word always carries the category in brand questions. Pre-launch: category questions plus one name-collision question only.
Cluster and weight. Group the questions into clusters (one cluster = one page that should answer them); with a Search Console export, sum each cluster's impressions as its demand weight and add any high-impression query the list missed. These clusters are the page map's rows.
Pick the key questions yourself (the 3–5 highest value × winnability) and run the set — no approval before the free pass. The first message shows the set grouped by cluster for edits; edits apply to the paid top-up and the next runs.

Writes: search/questions.md in the saved-set format (version, date, country, language, engines, runs·route line, the table with a cluster column). Never: invents search volumes or "how many people ask this". Demand comes from Search Console, Google Trends or autocomplete (free), Keyword Planner when the brand shares it, or a vendor prompt-volume estimate the brand already has — always labelled with its source, estimates as estimates; otherwise "no demand data, ranked by judgment".

Bundled files

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

skill.meta.json1 KB

Frequently asked questions

What does the Improve Search Visibility Question Set AI skill do?

Why use Improve Search Visibility Question Set on TypingMind?

Because you install it once and use it with any model. Improve Search Visibility Question Set 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 Improve Search Visibility Question Set in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gooseworks-ai/goose-skills/tree/main/skills/marketing/improve-search-visibility-question-set. 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 Improve Search Visibility Question Set?

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 Improve Search Visibility Question Set?

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

Is the Improve Search Visibility Question Set AI skill free?

Yes. It is published on GitHub by gooseworks-ai under the MIT 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.

View all

Archify

NousResearch

OrganizationPopular

Validated interactive HTML diagrams, upstream-maintained.

Auteur

Design and build cinematic, award-level web pages.

Concept Diagrams

Generate flat, minimal educational SVG visuals as HTML.

Hyperframes

Render MP4/WebM videos from HTML compositions.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

question-set

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now