aeo-prompt-question-finder
Skill13 starsChanged 6 months agoMITView on GitHub
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.
In this repository22 other files it gives its agents.
- aeo-ai-overview-simulatorSkill
- aeo-analytics-freeSkill
- aeo-baselineSkill
- aeo-cannibalization-detectorSkill
- aeo-citation-gap-finderSkill
- aeo-competitor-monitorSkill
- aeo-content-freeSkill
- aeo-entity-extractorSkill
- aeo-freshness-decay-trackerSkill
- aeo-grounding-query-mapperSkill
- aeo-initSkill
- aeo-multi-prompt-strategySkill
- aeo-optimizeSkill
- aeo-pack-ai-toolsSkill
- aeo-pack-b2b-saasSkill
- aeo-pack-local-servicesSkill
- aeo-prompt-frequency-analyzerSkill
- aeo-prompt-research-freeSkill
- aeo-reportSkill
- aeo-schemaSkill
- aeo-source-authority-profilerSkill
- aeo-trackSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 12
Run the script from the skill directory:
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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 varsDATAFORSEO_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" --jsonRate 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.
Does it work?
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