How do I install the Aeo Prompt Question Finder skill?

Run npx skillmds@latest add johnalbertini14-glitch/aeo-prompt-question-finder in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Aeo Prompt Question Finder safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls, reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Aeo Prompt Question Finder?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Aeo Prompt Question Finder free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Aeo Prompt Question Finder?

johnalbertini14-glitch (@johnalbertini14-glitch) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Aeo Prompt Question Finder by johnalbertini14-glitch

Name: Aeo Prompt Question Finder
Rating: 4.2 (5 reviews)
Author: johnalbertini14-glitch

Aeo Prompt Question Finder

Find question-based Google Autocomplete suggestions for any topic. Prepends question modifiers (what, how, why) to a seed topic and returns real autocomplete suggestions — useful for AEO prompt research, content ideation, and understanding what people ask about a topic. Use when the user wants to discover questions people search for, find content angles, or do keyword/prompt research for a topic.

File contents

Prompt Question Finder

Discover what questions people ask about a topic by querying Google Autocomplete with question modifiers.

Usage

Run the script from the skill directory:

python3 scripts/find_questions.py "travel itinerary"

Options

--modifiers what how why should — override default modifiers (default: what how why should can does is when where which will are do)
--delay 0.5 — seconds between requests (use 0.5–1.0 when running many topics in batch)
--json — output as JSON for programmatic use
--volume — fetch avg monthly search volume via DataForSEO (reads creds from macOS Keychain: dataforseo-login / dataforseo-password, or env vars DATAFORSEO_LOGIN / DATAFORSEO_PASSWORD)
--location 2840 — DataForSEO location code (default: 2840 = US)
--lang en — language code for volume lookup (default: en)

Examples

# Default modifiers (what, how, why)
python3 scripts/find_questions.py "protein powder"

# Custom modifiers
python3 scripts/find_questions.py "travel itinerary" --modifiers what how why should when

# JSON output
python3 scripts/find_questions.py "travel itinerary" --json

Rate Limits

Google Autocomplete is an unofficial endpoint. Single-topic runs (10 requests) are safe. When running multiple topics in batch or parallel, always use --delay 0.5 or higher to avoid temporary IP blocks.

How It Works

For each modifier, the script queries https://suggestqueries.google.com/complete/search with "{modifier} {topic}" and returns the autocomplete suggestions. No API key required.

---name: aeo-prompt-question-finderdescription: Find question-based Google Autocomplete suggestions for any topic. Prepends question modifiers (what, how, why) to a seed topic and returns real autocomplete suggestions — useful for AEO prompt research, content ideation, and understanding what people ask about a topic. Use when the user wants to discover questions people search for, find content angles, or do keyword/prompt research for a topic.--- # Prompt Question Finder Discover what questions people ask about a topic by querying Google Autocomplete with question modifiers. ## Usage Run the script from the skill directory: ```bash python3 scripts/find_questions.py "travel itinerary" ``` ### Options - `--modifiers what how why should` — override default modifiers (default: what how why should can does is when where which will are do) - `--delay 0.5` — seconds between requests (use 0.5–1.0 when running many topics in batch) - `--json` — output as JSON for programmatic use - `--volume` — fetch avg monthly search volume via DataForSEO (reads creds from macOS Keychain: `dataforseo-login` / `dataforseo-password`, or env vars `DATAFORSEO_LOGIN` / `DATAFORSEO_PASSWORD`) - `--location 2840` — DataForSEO location code (default: 2840 = US) - `--lang en` — language code for volume lookup (default: en) ### Examples ```bash # Default modifiers (what, how, why) python3 scripts/find_questions.py "protein powder" # Custom modifiers python3 scripts/find_questions.py "travel itinerary" --modifiers what how why should when # JSON output python3 scripts/find_questions.py "travel itinerary" --json ``` ## Rate Limits Google Autocomplete is an unofficial endpoint. Single-topic runs (10 requests) are safe. When running multiple topics in batch or parallel, always use `--delay 0.5` or higher to avoid temporary IP blocks. ## How It Works For each modifier, the script queries `https://suggestqueries.google.com/complete/search` with `"{modifier} {topic}"` and returns the autocomplete suggestions. No API key required.

Frequently asked questions